Blockchain programming.

Now’s your perfect time to get into it. 

Here’s why:

• As a blockchain developer, you’re guaranteed to be in high demand for the next decades.

It used to be that blockchain developers were only needed by people who want to start their own cryptocurrency, which aren’t that many.

Now that everyone is seeing the benefits, blockchain adoption is going through the roof.  Governments, Fortune 500 companies are starting to get into blockchain. It’s going mainstream – exploding the need for competent blockchain coders.

• You can get rich programming for blockchain

Simple Programmer is about getting you to success and making the most money as a developer. 

The average salary is $109.000 per year, and the average freelance hourly is $81-$100

If you want to be a wealthy and successful programmer, we’d recommend you this career path as a great option.

• Your competition is still small.

Among 20 million software developers in the world, only 0,6% know blockchain coding. 

And not all of those are at a level where they can deliver high-quality code on demand.

Learn Blockchain Programming: This 3-Step Tutorial Will Get You There

As a beginner, learning blockchain programming can seem overwhelming.

Where do you even start?

Fret no more. 

This tutorial will guide you to the topics, so you can dive into them one by one.

Take it step by step! Learn everything from the ground up.

You’ll beat the overwhelm. You’ll start gaining a deeper understanding. And you’ll be well on your path to mastering blockchain programming – even if you’re still a beginner right now.

1. Blockchain programming basics

You’ll learn the blockchain programming basics, such as

• Get to know blockchain technology
• How blockchain is transforming the software development industry
• What exactly you’re doing as a blockchain developer
• What are its use cases

2. Coding for the blockchain

• How to do it
• Which languages are best
• What software & hardware you need

3. How to win at your career as a blockchain programmer

• Skills you need to build
• Your developer roadmap
• How much you can make

Alright, are you ready to become a blockchain developer wizard?

Let’s dive in then!

Getting to Know the Technology

Blockchain is a time-stamped sequence of unchangeable recorded data managed by a cluster of computers as opposed to a single entity. It is a decentralized and unbreakable electronic ledger used to record economic transactions and is a highly reliable technology for transparent data transfer.

It follows the basic principles of a chain, where each block is tightly secured.

For example, when an application is developed using blockchain technology, the user has the authority to view and add a record to the software database.

They can’t modify or delete any data records, which improves the integrity of the entire process.

What Are Smart Contracts?

A smart contract is a software protocol that enforces a contract such as the performance of credible transactions without the need for third-parties. The smart contracts are stored on the blockchain, and they execute automatically as certain predetermined conditions are fulfilled.

How Blockchain is Transforming the Software Development Industry

The software development industry has witnessed a significant shift to cloud-based products. Cloud technology facilitates the decentralization of digital assets, which forms the backbone of Blockchain.

Blockchain technology is growing by leaps and bounds, addressing the various challenges faced in the software industry. Its purpose is to ensure productive testing activities, enhance collaboration within teams, and increase the use of smart contracts in software development.

Why Use Blockchain for Software Development?

As I stated, Blockchain software is highly secure. It’s used to store data in transparent ledgers and for data traverse in peer-to-peer networks.

The increase of mobile applications with enhanced security and higher quality has led to the rise of blockchain-oriented apps.

The key features of blockchain-oriented software (BOS) systems are as follows:

• Data Replication: The data is replicated and stored in thousands of systems, which ensures data security. Each node has a copy of the blockchain code.
• Requirement Checks: BOS checks the transaction requirements before processing for validation.
• Transaction Recording: BOS records transactions in a sequential log of interlinked blocks that are created by a consensus algorithm.
• Public-Key Cryptography: Transactions are based on public-key cryptography.

These features make blockchain software a huge benefit in ensuring the safety of data.

How it’s Used in the Software Industry

Blockchain technology acts as a propeller in software quality assurance, ensuring security, which is vital in the finance industry.

Many renowned companies are exploring opportunities to integrate blockchain technology into their databases for maximum security. 

For example, General Electric is planning to implement blockchain-developed databases in their Aviation Division plans. They’re also working on software that could manage sales, tracking, record-keeping, inventory details with high-end security, transparency, and integrity.

In conventional development methods, transparency counters integrity, as transparency of data increases the chances of someone tampering with it. But with blockchain technology, they exist together and are offered as an added advantage to the companies.

What is Blockchain Programming?

Blockchain programming is writing smart contracts that run exactly as programmed without any chance for fraud, and building end-to-end applications for blockchain.

So, blockchain coding is either:

1. Designing the blockchain peer-to-peer technology and its processes
2. Developing the applications that use that technology

What is a Blockchain Developer, Exactly?

As a blockchain developer you’re either working on the blockchain itself – this would make you a core developer. 

Or, you’re a blockchain software developer – you’re designing smart contracts and creating decentralized applications (dApps).

It’s harder to be a core than a software developer for blockchain.

The Best Programming Languages for Blockchain

Here is a look at a few blockchain programming languages, the purpose they serve, and some resources for further learning. Each section will be purely introductory, as the topic can get pretty extensive and full of code.

1. C++

Let’s start with the oldest of them all, C++. The language came to life in 1985 through the efforts of Bjarne Stroustrup. By then, the rudimentary C language existed, but it was process-oriented; C++ cropped up as an upgraded extension that is object-oriented (where data and functions are bundled up into a package called “Objects”). For the complete freshman, an object-oriented product can be reused on other platforms without the need for fresh coding.

C++ retained the efficiency, security, and flexibility of C. Its evergreen nature has made it the core language for blockchain coding, including the bitcoin blockchain. Warning to the newbies, though: As a type-only language with fairly outdated syntax, the learning curve is a bit steep. However, as most blockchain technologies are written in this language, any efforts you put in to learn this language will pay forth abundantly.

Here are a few more reasons why C++ is preferred for blockchain coding:

Better memory control. There are a lot of demands in the blockchain ecosystem. For instance, the platform needs to be a secure fortress but at the same time execute transactions and interact with all the nodes at a faster speed. For all these to happen, you need to have better control over memory and CPU usage. C++ can offer you that.

Superb multithreading. Threads are a bundle of instructions that are to be executed at the same time. During blockchain development, you will come across tasks that parallelize and those that do not. Most languages can only handle one of these tasks and not both. Guess what, C++ allows you to handle both simultaneously.

Compile time polymorphism. As was said before, C++ is an object-oriented programming (OOP) language. It also happens that polymorphism (using a certain feature in several ways) is a property of OOP. Now, by coding your blockchain through C++, you will be able to execute some tasks separately, thus enhancing the performance of the entire digital ledger.

Code isolation. This archaic but revolutionary coding language has namespace features that can be shipped from one place to another. But at times, collisions can occur and distort the entire system. However, thanks to the language’s segmentation ability that groups various APIs differently, code isolation/separation can become a little easier.

Maturity. As one of the oldest coding languages, C++ is mature and gets updated on a regular basis. Besides that, the language sports practical features like debuggers and special analytical tools that can detect or optimize various functions. This complexity and up-to-dateness of the language may be some of the reasons why Satoshi used it for bitcoin’s source code.

2. Python

Python is another simple coding language for a beginner programmer who is afraid of C++’s complex nature. It was developed in 1991 by a Dutch programmer by the name of Guido van Rossum. The language’s structure is based on a simple premise: simplicity, readability, and minimalism.

The simple nature of this language has seen it be supported by a massive crowd of both new and established developers. Rather than the curly brackets and keywords used in C++ to represent code blocks, Python uses simple and less-scary white spaces.

Simplicity can be easily translated to mean inefficiency. However, Python is good enough to build complex digital ledgers that are stable and reliable. And here is the best part: This language is scripted and can be compiled and uncompiled. For instance, when you find a bug in your code, you just fix it and reload your application.

For other languages like C++, you need to stop the app, fix the bug in your source code, and recompile it before restarting the application. It’s quite a lot of work that can be avoided by choosing Python. Additionally, the language offers developers a vast, free resource center that they can use to write their blockchain code.

3. JavaScript

JavaScript is one of the most-used languages on the World Wide Web. If you want an interactive site with beautiful UIs, this is the language to use. All the major browsers such as Google Chrome and Firefox support it.

We already said that a blockchain is, roughly put, a system of blocks placed one after the other. However, there is something special about this ledger—it’s immutable, meaning once data has been written, there is no undoing. JavaScript is one of the go-to languages when making a simple but tamperproof blockchain that is impossible for hackers and other deceitful individuals to alter. Just one setback, though: The language lacks the SHA256 hash function.

4. Solidity

This is the most complex, high-level language that applies JavaScript’s scripts and functions as well as C++’s classes. The language is not only beginner-friendly but also offers tips and instructions on how to go about using its code. While the language is not very complicated, those who have a fair grasp of modern programming languages have an advantage.

Even though Solidity is still trying to establish its footing in the coding world, Ethereum (the second-biggest cryptocurrency after bitcoin) is already using it. Well, they made the language, so it makes sense that they be the first ones to use it. Nevertheless, Ethereum blockchain is one of the most efficient when it comes to speed and ease of creating smart contracts.

So if you are looking to create a decentralized app, hold an initial coin offering, or build a secure, immutable, and multipurpose blockchain, Solidity is the language to use. It’s a must-know language for anyone who wishes to integrate smart contracts in their digital ledger. For tutorials on Solidity, you can check out ConsenSys Academy or the languages’ documentation from readthedocs.io.

5. GO

GO is the short form of GOLang, a relatively modern coding language that was developed in 2007 at Google and officially released for public use in 2012. This robust and multipurpose coding language was created in an effort to combine both the syntax and user-friendliness of other common languages like JavaScript while retaining the reliable security aspects of older languages like C and C++.

GO inherently runs in an operating system, and this means maximum flexibility, especially when dealing with several parts of a blockchain simultaneously. Ethereum’s SDK protocol is written in GO, and there are many other blockchain applications of this language.

9 Blockchain Use Cases You Can Work in as a Developer

Every year, there’s more use cases for blockchain. 

Applications are being developed for different industries:

1. Cybersecurity
2. Healthcare
3. Manufacturing
4. Legal and Government
5. Charity
6. Retail
7. Real Estate
8. Tourism
9. Media

and many others.

If you become a blockchain developer, you can have your pick of which use case in all these industries you’d like to work on.

How to Code Blockchain – Simplified in 5 Easy Steps

When you’re a beginner, you might not know how the process of coding for blockchain will look for you. 

Let’s give you the easiest example for how to code blockchain.

Here’s how it works, in a nutshell:

1. Code your smart contract or dApp inside your IDE
2. Test it on a local blockchain
3. Run or Connect to a node
4. Test it on a Testnet
5. Deploy it

What do you need for blockchain programming?

Software

• an IDE (Integrated Development Environment) to compile, test and run your blockchain software. Examples are Hardhat, Truffle and Remix, of which Remix is the easiest to use.
• Front-End environment such as Node.JS to program the user-facing part of dApps
• An API to explore blockchain data and transactions (example: blockchain.com’s developer API)
• the blockchain core for Bitcoin, or client for Ethereum, for example, compiled on your computer to run your own node 
• OR a service like NOWNodes that connects you to a node. They also offer a block explorer.

Hardware

The hardware requirements are similar to what we outlined in what you need for programming. 

Do consider the added strain of running your own node.

To start out, it’s okay to run a node on your own PC. In the long term, you might think about having another computer just to run the node. That way you’ll have better performance and security, and no added strain on your main PC.

The biggest bottleneck for your hardware is hard disk size. Ethereum for example requires a lot of back-and-forth communication and takes up a lot of hard disk size. 

You’d need a fast hard disk like an SSD – and a bunch of empty space: While the whole Bitcoin blockchain size is only a few Gigabytes, Ethereum is about 1 Terabyte in size.

What do you need for blockchain programming?

• CPU: 2-4 Cores
• RAM: 8-16 GB RAM
• Hard disk: 500-1000+GB free space (preferably SSD)
• Bandwidth: 10 MBit/s – 25+ Mbit/s

The Top 7 Blockchain Developer Skills You’ll Need

There is no definitive answer to this question since blockchain technology is still in the early stages of its evolution. However, some of the skills that may be required to become a blockchain developer in 2022 include:

1. Grasp basic cryptography concepts

Cryptography can be scary for programmers. 

But essential cryptography concepts will be underpinning what you do as a blockchain developer – so make sure you get familiar with the basics:

• Hashing functions
• Encryption
• Public & Private Keys
• Signing

If you’re going to be coding decentralized applications, you’ll be working with these concepts. It makes sense to first skill up in this area!

2. Understand how blockchain & distributed ledgers work

What is a blockchain? What is a distributed ledger?

If you’d like to be a good blockchain coder, you need to be able to answer these questions.

Because it’ll be your job to either design these things directly (as a core developer), or to build applications on top of them (as a blockchain software developer).

To get this understanding, you could start with a beginner-level book about blockchain.

3. Know Popular Blockchain Platforms

Familiarize yourself with the most popular blockchain platforms and how they work, such as:

• Ethereum
• Hyperledger
• Stellar

Once you know the specialties of each blockchain platform, you’re ready to take on projects running on them.

4. Have Coding Skills in languages used in web development, smart contracts & web3

Be specific with which coding skills you’re learning as an aspiring blockchain developer – 

you’ll at some point in your career need to use the following languages. 

But be smart about how you use your time and and energy. Always learn what you need for the current project you’re working on. Don’t spend six months upfront, studying books and learning languages in isolation, before starting on your first hands-on blockchain coding project. 

If you use the ‘learning while doing’ approach, you’ll shorten your learning curve. 

Solidity

With Solidity you can program smart contracts in most blockchain platforms. It’s a great skill for you to have as a blockchain developer. It’s also the easiest one to pick up!

HTML & CSS

If you want to be a front-end developer for decentralized apps, you need good skills in the web development languages of HTML & CSS.

JavaScript / node.JS

Learn Web3.js, which is a JavaScript library that lets web applications interact with the blockchain node.

GO & Python

These are generally used for Web3 apps, so they’re a great skill to add to your toolbox.

C++

C++ was used by the founders of Bitcoin to create its original blockchain. If you’re going to be working on the Bitcoin blockchain, it’d be a good idea to learn C++.

5. Be Good at Object-Oriented Programming Concepts

Being good at Object-Oriented Programming (OOP) means you have to understand Inheritance, Polymorphism & Classes and how to use them in your code.

Blockchain coding languages like Solidity are based on Object-Oriented Programming. These ‘traditional development concepts will show up whenever you have to integrate applications with existing blockchain technology.

You don’t need to learn full-stack development to start as a blockchain developer. But in many cases you’ll need some aspect of traditional full-stack coding in your blockchain projects. 

So keep learning it as you go along. 

6. Know Databases, Data Structures & Networking Concepts

As a blockchain developer you’ll need to know databases, data structures, and networking:

• Flat & relational databases
• Stacks, Linked Lists, Queues
• LAN/WAN, Switches & Routers

All these are going to come into play when you’re dealing with blockchain. 

A blockchain is a form of database, your applications will rely on stacks, linked lists and queues to recall information, and you’ll need good knowledge of networking to understand how communication on the blockchain works.

7. Be Hungry

Work to improve your developer skills all the time. Be willing to learn and keep up with new blockchain technologies.

Go and join the Reddit forums, Github pages, and StackExchange.

To become a top-tier blockchain coder, always stay hungry for more knowledge and skills.

Blockchain Developer Roadmap – The 13 Milestones to Become one from Scratch

Becoming a blockchain developer is not just about getting certified. It’s about becoming a pro at the skills blockchain coding requires.

Taking courses helps your learning journey. Becoming certified does give a boost to your credibility.

But what companies look for most (the smart ones, at least) is your ability to execute the relevant blockchain programming tasks – so they can get results in their business.

Learn by doing, be able to prove your proficiency with projects you’ve done on your own, and you’ll get that high-paying job or freelance contract sooner than you think!

Here’s your roadmap to get there, ASAP:

1. Learn programming basics

If you’re not yet a developer, start with learning the basics of your first language. For different blockchain projects, you might need to learn different languages. 

Always start with one, though. And you have to start somewhere, right?

So, what language should you learn first?

For example, you could start by learning to code with the node.JS platform (based on JavaScript). 

JavaScript and Node.js are enough to build programs that interact with cryptocurrency APIs in real time. JavaScript is the most popular language for blockchain programming, while Solidity is the easiest to learn. 

You’d be well-advised to learn both.

2. Learn how the blockchain process works

Here are the basic concepts you should learn to understand the blockchain process:

The foundational parts of a blockchain

Make sure you grasp the following:

• What is a peer-to-peer network?
• What is cryptographic hashing?
• What is asymmetric key cryptography?

Ledgers

Get the concept of a ledger, and how transactions are recorded in a ledger.

The technical blockchain terms

Be familiar with terms like:

• Authentication
• Authorization
• Mining
• Nonce
• Proof-of-work
• Validating Transactions
• Consensus
• Creating & Adding blocks

The white paper

Read the white paper and work through its different sections one by one.

Books about blockchain and how to program for it

Read: Blockchain by Josh Thompsons, Ethereum by Henning Diedrich, Introducing Ethereum and Solidity by Chris Dannen, and Blockchain by Melanie Swan.

Crypto wallets and dApps

Start playing around with crypto wallets and dApps.

3. Start blockchain coding tutorials

The best choice are tutorials that are divided into little projects you have to complete yourself. This way you’re not just taking in a bunch of new information – but you’re always learning by doing. 

That’s how you make the knowledge stick!

1. Learn Solidity. It’s a beginner-friendly language and it’s used in many applications. You could start with free tutorials and gamified courses like Space Doggos & CryptoZombies.
2. Take advanced courses. Once you know your way around the basics, consider investing in a higher-level course that can take you all the way to becoming a professional blockchain developer. 

Make sure to pick a course that has you do professional level projects in a guided way. Once you’ve been through one of those, you’re ready for a real-world job, freelancing career, or your own blockchain projects.

4. Get practical: Set up your own node

While it’s not 100% necessary to run your own node – it’s recommended if you want to be a serious blockchain developer.

It lets you monitor your coding efforts and gives you full control.

5. Understand consensus algorithms

Consensus Mechanism: The instrument by which a decentralized system goes to an agreement on specific issues.

E.g., the original consensus mechanism presented in the white paper, Proof of Work.

6. Learn to fork an existing blockchain, like bitcoin or ETH

For this, you’ll have to download and compile the core code on your computer. Then you’ll reprogram the code to include the changes you want in your personal blockchain fork.

7. Fork a wallet

Learn how to create your own cryptocurrency wallet from scratch.

8. Change the consensus algorithm in your fork

To better understand the different consensus algorithms in blockchain, try and change which one your own blockchain fork is using.

9. Set up a testnet for that fork and put it online

A testnet is a blockchain which doesn’t require you to spend real currency to use its network.

This makes them ideal for trying out your code ideas or pre-launching a new tool you created. Getting started on a testnet can be a good sandbox exercise in your roadmap to become a blockchain developer.

10. Write a smart contract and put it online at Ethereum or similar platforms

Get your feet wet creating your first smart contract and putting it online.

11. Code a dApp and put it online at a platform

Now you’re ready to develop your very own dApp, and release it to the world after you’re finished.

12. All the while, keep improving

If you work hard at it, you can achieve all this in about three months.

But while you’re learning and getting your hands dirty coding your first projects on the blockchain, don’t forget to mix with like-minded others: 

The best places for this are GitHub, Reddit and StackExchange. 

Chat with other developers, ask questions and seek their help. You’ll learn everything even quicker, you’ll start getting your name out there, and you’ll make some cool connections.

How You’ll Make Mountains of Money as a Blockchain Developer

The salary for a blockchain coder is quite high – usually over six figures per year.

As a freelancer, you can command hourly rates upwards of 100$ per hour.

And if your own blockchain project takes off, it could be a way for you to get rich in a short amount of time.

What is the salary of a blockchain developer?

In North America, blockchain coders can make between $150-$200 per hour, or low-to-mid six figures per year. In Western Europe, developers can also make at least $100-$150. In the Far East, predominantly in India, you can find a blockchain developer for as little as $40 per hour.

FAQ about Blockchain Programming for Beginners

Does a blockchain developer need coding?

So far there aren’t complete no-code solutions for working on blockchain technology, developing smart contracts or creating dApps. This means that you’d need some amount of coding knowledge for any blockchain development project. For many applications, you can get away with specialized skills in only one or two programming languages.

Is blockchain programming difficult?

Blockchain programming can be more difficult, because you can’t move as fast as in traditional development – you can’t afford to break things in a decentralized database. Also, you need to be well-rounded in cryptography, back-end and front-end development and networking concepts. 

How long does it take to learn blockchain?

You can learn blockchain programming to a decent level within 1-3 months if you follow the roadmap we outlined. To become an elite-level blockchain developer will take 1-3 years. Put in the time needed, and you’ll be able to go far in this lucrative career.

Can you teach yourself blockchain?

In theory you can learn blockchain by yourself. Teach yourself with free tutorials and a lot of coding practice. While many employers require a university degree, not all do. You also don’t need to pay for a course. But it’ll be easier if you don’t do it all by yourself, but with expert instruction.

The post How to Be a Blockchain Programming WIZARD: Beginner to PRO appeared first on Simple Programmer.

Web 3 has gained instant popularity as the successor of Web 2.0. Unlike its predecessors, Web 3 is all about data ownership by different stakeholders.

The post Step-By-Step Guide to Become a Web 3 Developer appeared first on Simple Programmer.

The future of cloud computing is changing rapidly. It is a domain that has been at the forefront of technological advancements and will continue to be for the foreseeable future.

The post 6 Cloud Computing Trends to Watch in 2022 appeared first on Simple Programmer.

Multi-Cloud Strategy

\n\nThe multi-cloud strategy is a must to read about. With a multi-cloud strategy, companies can select different cloud services from other cloud companies to transfer more significant data portions. It is a speedy and reliable way to move large amounts of data, especially suitable for large data transfers and with integrated machine-learning capabilities.\n\nMost companies follow the multi-cloud strategy due to the following reasons:\n\n

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• Flexibility: If a company has its choice of multiple cloud environments, that offers flexibility and allows the company to stay away from vendor lock-in. The transition to any other product, even of a competitor, is easy.

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• Data protection: If you link with the multi-cloud strategy, you can avoid issues resulting from technical or mechanical reasons, computer, and human error. If you have multiple cloud environments, you are always protected from sudden, unavoidable circumstances, as you have resources and data storage available to avoid downtime.

\n

• Efficiency: Multi-cloud environments can help companies achieve their goals as planned due to their efficiency in managing and storing data.

\n

\n\nMulti-cloud management is involved in multi-cloud computing, as information is transferred from one cloud platform to another. It requires expertise to handle multiple cloud providers and complex cloud management systems.\n\nA multi-cloud platform can put together all the best services that each platform offers. It helps the companies customize an infrastructure unique to their business goals. Further, this multi-cloud concept provides lower risk: If one web service does not function, a business can operate with other platforms in a multi-cloud system as it stores all data in one place.\n\nSo far, so good. But how about downsides or problem points?\n\nGenuinely multi-cloud security has a big challenge of protecting data in a consistent and secured way across various cloud platforms. When a company uses a multi-cloud concept, the deposit is handled by third-party partners. Therefore, the cloud deployment has to identify the matter and distribute the security responsibilities among the other parties to ensure safety.\n\n

Rapid App Development and Low Code/No Code

\n\nIn a world where everything is interconnected and relies on the speed of delivery, many inventions want to make the processes speed up. Rapid app development (RAD) comes into play here as a critical subject that many of us are likely already exposed to.\n\nFor example, Agile software focuses more on current software projects and user feedback. Can you believe that it does not follow a strict plan? The software helps rapid prototyping over costly planning.\n\nThe process of rapid app development is straightforward, as shown below:\n\n

\n
• Requirements: Rapid app development does not have any strict requirements and has the permission to change any of the conditions at any point of the cycle. The client provides the company’s vision for the product, agrees with developers, and finalizes the requirements that fulfill the goal.

\n

\n\n

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• Prototype: This rapid application development develops a prototype to make the client understand the result. The RAD programming has a finalizing stage where all the errors are corrected and cut, and the final product comes out.

\n

\n\n

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• Feedback and final product: Along with the feedback, the RAD makes the final product, yet they are ready to perform possible changes, as step two of the process describes. However, if the client is satisfied with the outcome and the positive feedback, what is made will be the final product.

\n

\n\n

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• Last stage: The last stage is to submit the final product through demonstration.

\n

\n\nAs for Low Code/No Code development platforms, they are a kind of visual software development. Such a procedure allows industrial developers and citizen developers to drag and drop application components, combine them quickly, and create mobile or web apps useful for different functions.\n\nLow-code development platforms reduce the amount of time spent, enabling faster delivery of business applications.\n\n

Containerization

\n\nContainerization is a way of packaging software code with just the operating system, and its libraries and dependencies required to run the code. It comes in a single, lightweight executable, called a container, that runs without disturbance on any infrastructure.\n\nInstead of complying with the entire operating system or with your software, your code is in a container that can run anywhere. As these containers are pretty small, you can pack a lot of such small containers onto a single computer.\n\nThe concept of containerization allows developers to create and deploy applications with great speed and more safely. Earlier, code was developed in a specific computing environment. But when you transfer it to a new location, it often results in bugs and errors.\n\n

Deep Learning Libraries

\n\nDeep learning is simply a machine learning technique. It instructs a computer to filter inputs through layers to learn how to predict and classify information. It is operated through images, text, or sound, and is inspired by the way the human brain filters information.\n\nFor example, deep learning is a critical technology used in driverless cars, enabling them to recognize a stop sign or identify a pedestrian from a lamppost.\n\nIt is a continuously growing method of a broader family of machine learning based on data representatives. As a relatively new concept, the vast number of resources can be fascinating for those trying to get into the field of IT or those already in it.\n\nThere are Libraries that are famous for this deep learning technique. Below is a list of deep learning libraries that are commonly in use.\n\n

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• TensorFlow Keras: TensorFlow is a library for multiple machine learning tasks and also an open-sourced, end-to-end platform. Keras is a network library that runs on top of TensorFlow.

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• Caffe: Caffe is a deep learning program made with expression, speed, and modularity in mind.

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• Microsoft Cognitive Toolkit: (Previously CNTK). The Microsoft Cognitive Toolkit is an open-source library that is used to create machine learning prediction models. Generally, it creates deep neural networks, which are at the top of artificial intelligence attempts such as Cortana and self-driving automobiles.

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• PyTorch: The PyTorch framework helps about 200 different mathematical operations. It is very popular because it simplifies the creation of artificial neural network (ANN) models.

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• Apache Mxnet: MXNet is an open-source deep learning application that allows you to identify, train, and deploy deep neural networks on a wide range of devices, from cloud infrastructure to mobile devices.

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• DeepLearning4J: DeepLearning4J is a support framework for deep learning algorithms.

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• Theano: Theano is a Python library built for fast numerical computation that runs on the CPU or GPU. It is used as the key foundational library for Deep Learning.

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• TFLearn: Tflearn is designed to support a higher-level API to TensorFlow. It facilitates and speeds up the experimentations while being transparent and compatible with it.

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Multi-Model and Multi-Purpose Databases

\n\nIn database design, the multi-model database helps to manage multiple data models against a single and integrated backend. The single data model is mainly organized and stored in database management systems.\n\nA multi-model database is a database that stores all the data in more than one model. In the beginning, databases have primarily supported only one model: relational, document-oriented database, triple store, or graph database. A database that combines all of these is called a multi-model.\n\n

Artificial Intelligence

\n\nArtificial Intelligence is among the top of the latest techno trends. It is a unique technology that makes a machine simulate and interpret human behavior.\n\nMachine learning is a subcategory of Artificial Intelligence that allows a device to automatically learn from past data stored in the memory without programming further. The goal of Artificial Intelligence is to make an intelligent computer system similar to the human brain that helps solve complex problems.\n\nSo now the world is moving toward this concept and, soon, it will take over all the complicated processors.\n\n

AI-Powered Cybersecurity

\n\nAI-powered cyber security is one of the most vital concepts in terms of security aspects. Artificial intelligence can prioritize risk instantly and spot viruses or malware on the networks. It can also detect threats even before they activate.\n\nAI is at the top as a significant aspect of cyber security. It will increase the efficiency of all aspects of life like online shopping, information technology, telecommunications, etc., in protecting it against cyber threats.\n\n

Clean Technology

\n\nClean Technology is one of the most concerning terms in tech developments. How do you define clean technology?\n\nClean Technology or cleantech is any process, product, or service that reduces negative environmental impacts by energy efficiency improvements, better use of resources, or any other environmental protection activities.\n\nThe benefits of clean technology in any industry or field can include less waste, recovery of by-products, improved environmental performance, improved productivity, better efficiency, and reduced energy consumption which results in overall cost reduction. It is the same with information technology and apps.\n\n

Collaborative Technologies

\n\nCollaborative technology is also known as groupware. Collaborative technology, a commonly used term today, refers to tools and systems designed to improve group efficiency. It is related to both in-office and remote work.\n\nThese pieces of technology can cut down the costs and time related to facilitating group work. Such technologies can designate roles and responsibilities to route in-situ documents to checking and approving project parts. This concept offers more inherent and coordinated group problem solving across the entire workflow.\n\nA good tool for collaborative technologies is Creately, though I may be a little biased since I work there! Creately is a web-based work management tool that runs on a smart visual canvas, offering visual solutions for brainstorming, planning, project management, and capturing knowledge. Creately is used in project management, education, and many other sectors today.\n\n

Blockchain Technology

\n\nBlockchain is a system of recording information. Because of its design, it is difficult or impossible to change, hack, or cheat the system. No outsider can get into the system and steal or damage data.\n\nA blockchain is a digital ledger that duplicates transactions distributed across the whole network of computer systems on the blockchain. It also increases trust, security, transparency, and the traceability of data shared across a business network.\n\n

The Future Is Now

\n\nIn this post, I shared with you the most popular programming tech trends that have emerged in information technology.\n\nFrom multi-cloud strategies and rapid app development to AI and, perhaps most crucially, clean technology, the future is now!\n\nThese can be really helpful for your professional careers as well as daily tasks performed through information technology. I hope these facts are informative and helpful for those who seek knowledge on this subject matter.

The post 11 More Programming and Tech Trends in 2022 appeared first on Simple Programmer.

Still, from the perspective of tech enthusiasts, the internet is still in its early childhood days, as—even though it has evolved in a relatively short time—it still possesses a scope for significant enhancements.

Therefore, we could say that, at present, we have only scratched the surface of its potential.  Indeed, any business transformation in the near future is extremely likely to depend on the internet for its evolution.

In this post, I will highlight the revolutionary, decentralized, and open version of the web known as Semantic Web or Web 3.0. At the same time, I’ll talk about the applications of Web 3.0, underlining the distinctions between Web 2.0 and Web 3.0 development and highlighting why Web 2.0 developers need to learn development for Web 3.0.

Features and Differences Between Web 3.0 and Web 2.0

There are so many new features that help Web 3.0 stand apart from what we have experienced with Web 2.0. The most significant factor that defines the entire approach to Web 3.0 is decentralization.

In other words, Web 3.0 has everything needed to improve the internet by working on certain revolutionary advancements that could be the essence of the digital revolution. These include:

• Open: Allowing open-source development by an accessible and open community of developers. In other words, “open” can be defined as an ethos that transforms accessibility, community governance, and equitability into web service and protocol.
• Trustless: Allowing public and private network interactions without any trust concerns or involvement from a trusted third-party source. To simplify, “trustless” refers to a network where users can rely on network performance and output without having any restrictions to trust anyone else involved in the network.
• Permission-free: Allowing users and suppliers to participate in public or private projects without any governing body involved. Such a network environment would allow the secure and flexible transfer of information.

The apps that are developed in Web 2.0 are created and deployed on a single server, and the data is often stored within a single database that is hosted by a cloud service provider company.

On the other hand, Web 3.0 apps are likely to be built on decentralized networks operating through a large number of peer-to-peer servers—as I will discuss in more detail later in this post.

Essentially, Web 3.0 would require developers to compete on yielding the highest quality service and establishing a highly secure decentralized network. This is closely related to the blockchain concept where the Web 3.0 network protocols would be established over decentralization.

In other words, anyone who has contributed to the development or governance of the projects can receive financial incentives or rewards such as crypto tokens. And when we say network protocols, these include provisions on bandwidth, computation, hosting, identification, storage, and other services that were earlier managed by cloud service providers.

Since the current web structure needs users to pay for using the protocol, just like using the services offered by cloud providers, Web 3.0 would work by distributing money directly to the developers and network participants.

Therefore, developers who are familiar with Web 2.0 and Web 3.0 could earn a living by participating in protocol development by sharing any technical or non-technical skill set that can improve Web 3.0.

Such a structure would not only aid decentralization but potentially help cut intermediaries, thus passing all profit to developers directly. Moreover, to ensure that network participants get rewarded for their contribution, many web infrastructure protocols provide utility tokens to dictate protocol function. This concept of reward is similar to the one used by Ethereum and other native blockchain technologies.

Why Do Web 2.0 Developers Need to Learn Web 3.0?

The web has extensively changed over the past few years. The same could be clearly witnessed from the fact that decentralization, crypto, and AI have already disrupted the way business formation and transactions work.

Since the potential of the web is still unrecognizable as a progressive technology, moving towards a decentralized world makes it crucial for developers to align with Web 3.0. From earning opportunities to taking ownership of what is developed for the web, Web 3.0 is a go-to technology for developers who need to grow.

Let us quickly jump on two of the most significant and potential reasons why developers need to learn Web 3.0 before we discuss it in more detail.

The Decentralization Wave

Decentralization is the essence of Web 3.0, and it has extensive potential when it comes to the web and beyond. Thus, having developers who understand innovation and have a knack for enabling decentralization is the key to creating a high-quality ecosystem.

This could allow developers to make the most of their careers with Web 3.0. They can have access to direct ownership on developments made, thus having better earning opportunities with no third parties involved.

Ownership, Tokens, and More

Web 3.0 has compensation and data ownership as some of the most significant benefits developers could yield while using it. On top of that, decentralization and blockchain technology will likely get more scalable.

If you are a developer who reacted to the buzz and started moving towards a decentralized future, learning Web 3.0 is necessary. In short, working on Web 3.0 could drive financial output as well as give a chance to the developers to contribute and own the contributions made to the Web 3.0 era.

Upgraded Identity Features

When we say IDs or identity in Web 3.0, we are referring to a completely different function compared to the previous versions. The IDs in Web 3.0 are the wallet address book containing details of the users interacting with the app.

This is done to overcome the challenge of Web 2.0, where users define their identity using emails and passwords, making it easy to lose information or need frequent updates to keep things secure.

With Web 3.0, the IDs or wallet addresses of users are completely anonymous unless a user chooses to share their identity publicly. Moreover, Web 3.0 would allow users to smoothly transfer their ID from the same wallet to different decentralized apps.

Such a model as Web 3.0 would require developers to use identity protocols like Ceramic or IDX to bypass identity layers and conventional authentication while allowing self-sovereign identification. Additionally, the process requires an effective check on working on an approach that overcomes the privacy issues involved with conventional identification, thus opening doors for much greater opportunities with Web 3.0.

To aid security, organizations like the Ethereum Foundation are working on RFP (Request for Proposal) that can help simplify the documentation to take Web 3.0 further. With such convenience, Web 3.0 allows users to experience open, trustless, and permissionless applications.

Web 3.0 and the Applications

There is no doubt that Web 2.0 has been huge and has taken the world closer to the next dimension of the internet. The previous decade also held a paradigm change calling for Web 3.0 growth.

Here’s are a few significant points that can help you have a better idea of the entire Web 3.0 concept:

• Web 3.0 or Semantic Web made way for revolutionary applications. Web 3.0 is a medium to connect humans and technologies like AI to create a more reasonable and personalized web. In other words, Web 3.0 will harness the potential of AI and ML to process information just like humans do with the use of NLP and other concepts of the Semantic web.

• Since Web 3.0 is concerned with challenges originating from the internet of the past, it compliments the need for coordination, thus incentivizing content providers, data, services, and work. The biggest predictable challenge that Web 3.0 will likely cover is with open, trustless, and permissionless concepts is instability.

• Web 2.0 and Web 3.0 are both distinctively organized. Web 2.0 took us closer to the cloud networks while making the world more mobile and introducing the power of social media. On the other hand, Web 3.0 is more about AI and decentralization. Hence, a world using Web 3.0 is something that cannot be handled by a single corporation monitoring the global network.

• Web 2.0 made way for data centers to organize, store, and use data generated from a large number of users. Web 3.0 has the potential to replace data centers with decentralized internet, allowing appliances, cars, laptops, mobile devices, and sensors to hold the data. Such a change could allow expanding bandwidth to hold 175 zettabytes of data available in the global datasphere by 2025.

• The decentralized networks on Web 3.0 would allow people to take ownership of their data. From health reports to wellness data, anything available on the web will be under complete control of the user, giving them authority to eliminate third-party organizations and have the command to share ownership and privacy.

• Since AI and ML technologies have reached an intelligence level where they can aid in life-saving predictions, integrating the technology into a decentralized environment could help bring more data in to allow big advancements through precise predictive modeling.

All in all, Web 3.0 calls for a future that allows people and machines to interact with each other on data or passing value without involving any third parties. It can even help to create a futuristic web that is human-centric and preserves the privacy of its users with a peer-to-peer network model.

Keeping all that in mind, let’s take a quick look at the most effective applications of Web 3.0 that can make way for the next web revolution.

Built-in Seamless Payments

Over the years, the entire idea of payments and transactions has changed. Especially, the use of tokens has made payments a completely borderless process, with brands like PayPal and Stripe delivering the much-needed seamlessness between payer and payee.

As a downside, these methods are complicated and potentially inefficient, and risky, as they demand the use of personal data, which can be easily compromised.

However, Web 3.0-based payment applications are based on the crypto concept, which makes borderless transactions extremely simple and safe without giving up sensitive data or personal details. A common example is Solana, a network that allows transactions in fractions of milliseconds at a very minor cost without making the user share their personal information.

Such a transactional process does not even involve any of the forms or procedures that are part of networking in the present modes of transactions. Web 3.0-based crypto wallets only need users to install an application and simply send/receive money, bypassing any gatekeeping or third-party networking services that collect user information.

Business Formation Redefined

Since crypto and tokens are a significant part of the defining protocols and the development of Web 3.0, tokenization can also aid in creating the token economy. A quick example of using Web 3.0 for business formation can be perceived in the form of token-based investment.

In other words, using tokenization could help prevent business loss, especially when most businesses these days get funding in form of liquid money through hired venture capitalists in exchange for business equity.

Such a business structure often calls for legal issues when an investor wants to step out or move in. For instance, businesses that have an investment in the form of money in exchange for stakes find it difficult to dilute when people start to experience a change in priorities.

But businesses that are formed on the Web 3.0 concept can create value from digital currency like tokens which are easier to split on ownership. Unlike liquid investments, where a stakeholder invests in time, money, and labor with no confirmed returns, with tokenization, the investors could get the returns reflected immediately in the form of tokens that grow in value.

Though it may appear like a more futuristic approach to business formation, this would allow anyone on the web to invest in the business idea or construct it. It can even facilitate an organization’s growth, as anyone who needs to leave the organization could get a certain number of tokens—allowing no dilution of the business.

Moreover, stakeholders could vote on their tokens to facilitate changes in future projects, or people could hold up to their share of tokens, to begin with, some new initiatives.

Web 3.0 Has Already Arrived!

An approach like Web 3.0, which drives decentralization, can even help foster transparency, allowing stakeholders to be informed of every sale and purchase made on the business stocks in a Web 3.0 space. And surprisingly, the same is already happening in the Web 3.0 era.

Radicle, a GitHub alternative based on the decentralization concept, is one such app that allows stakeholders to work on the governance model of the business.

Moreover, Gitcoin is another initiative that allows developers to get compensated for participation in open-source projects. Brands like Audius, The Graph, SuperRare, and Uniswap have already started issuing tokens in exchange for ownership, participation, and governance.

Apart from this, there are Decentralized Autonomous Organizations that provide a unique Web 3.0-based investment approach for people who have thought of the corporation and need to garner investment from venture capitalists or developers.

The organizations work on the tokenization model, where the entire organizational structure is created and run on real and equitable ownership. Furthermore, the ownership distributed between stakeholders is then used to distribute incentives in more fascinating ways.

Though the whole concept of Decentralized Autonomous Organizations or DAOs is extremely wide, the future of building businesses or things gets an extraordinary vision with Web 3.0. Therefore, it is vital that Web 2.0 developers should make the most of the decentralization concept making the internet a more personal space for the users.

Web 3.0: A Highly Equitable Internet

Web 3.0 can create a highly equitable internet where everybody—from users to developers—will experience sovereignty. Whether it is control over the information, time, resources, or profit, Web 3.0 can help cultivate a secure ecosystem on the web.

Besides, contributing to the blockchain protocols in Web 3.0 could help developers and users to get compensated for all the investments they make on the web, right from their development to defining the protocol.

In a nutshell, Web 3.0 is the doorstep to overpowering the exploitative web, which involves unlawful practices that not only capture the user data on centralized repositories but restrict the profit and growth for all.

The post Web 3.0: Understanding The Future Of Web Development appeared first on Simple Programmer.

Programmers and the technology they create and use are threatening environmental sustainability and negatively affecting global climates—as part of the process of the anthropogenic (human-caused) climate crisis.

However, hardly any programmers consider the impact they have on the environment.

According to a recent report, the internet contributed about 3.8% of planet-wide greenhouse gas emissions in 2018, and it’s predicted that global carbon emissions from the information and communication technology (ICT) industry will reach 14% by the year 2040.

The graph below from a recent study shows the distribution of energy consumption:

Most people have a hard time imagining this being true, as they don’t consider the internet as an actual physical product. However, internet applications can be silent killers when it comes to things like carbon emissions because the industry is primarily fossil-fuel-driven.

For example, if a company’s developers writing lines of code are burning needless computing power, then it means that they’re not only burning cash, but they are also wasting a lot of fossil fuels through their lack of energy efficiency. The irony here is that many internet companies brand themselves as being environmentally friendly.

When you think about it this way, it becomes easy to see why it’s important to make efficiencies in both hardware and software as part of programmers’ efforts to help slow down climate change.

The good news is that it is possible to build environmental sustainability into your development processes.

With that good news, let’s dive into how environmental sustainability affects and is affected by technology, and the different ways to tackle this growing problem.

Impact of Tech on Climate Change—Are Programmers Responsible?

Technology as a whole is making massive contributions to the carbon footprint. But what role do programmers play in it?

Before we can determine the answer to that, let’s first take a look at exactly how tech impacts climate change.

How Does Tech Impact Climate Change?

Compared to other industries, such as manufacturing, food, fashion, etc., eco-friendliness in the ICT industry leaves a lot to be desired. In fact, some studies have shown that ICT may be more problematic than other commonly thought-of industries.

Although there are a lot of ways that IT affects resources, most people are only vaguely aware of them.

For example, devices in the office such as servers, desktops, laptops, phones, etc. need constant energy sources. Moreover, in addition to the high levels of energy consumption, these devices also release significant GHG emissions, particularly at the beginning of the device’s life, when it’s being built.

In other words, devices that you consider to be just sitting dormant between uses are in fact significantly contributing to climate change concerns.

Furthermore, some devices (servers, in particular) generate heat that requires additional energy in order to cool down the computing equipment. The following are ways in which unnecessary energy is consumed—together with some ideas on how to address them:

• Use of Non-Renewable Energy Sources: Although a lot of tech organizations like Microsoft, Google, Infosys, and others have begun to use green energy sources in an effort to combat carbon emissions, many businesses, residences, and large data warehouses are still using non-renewable energy sources.
• Non-Eco-Friendly Upgrades: Many programmers fail to track the consumption of resources to ensure that software used is eco-friendly. For example, they deploy software upgrades for devices, which leads to increased battery consumption, showing that the upgrade itself may not be eco-friendly.
• Use of Unsustainable Practices: A lot of practices contribute to the carbon footprint. By conducting an internal audit, organizations can evaluate all current processes that developers follow across the value chain in order to highlight unsustainable practices and take the necessary actions such as assessing the source of power, turning off unused appliances, optimizing data centers, etc.
• Lack of Operational Efficiency: It’s important to look for ways of reducing storage and power use in data centers. For instance, you can use data center management software to improve operational efficiency and analyze bottlenecks and use data center temperature monitoring tools—such as smart temperature controls—to reduce energy usage by turning off the data center cooling devices when the right temperature is reached.

These are just a few of the many ways tech impacts climate change and how programmers and their organizations can adopt better and more sustainable approaches.

It’s clear that sustainability and IT are often at odds. For example, server farms that are the backbone of all internet searches and emails sent take up a ton of resources. Additionally, when laptops, phones, and other devices get made or are recycled, a lot of energy is spent, which means tons of greenhouse gasses (GHG) are released into the environment.

This means that even when you think that you’re helping to reduce your environmental impact, you’re likely still contributing to environmental problems.

Before we get into how companies and programmers can create more sustainable decisions when it comes to IT, let’s see how programmers are specifically contributing to the lack of environmental sustainability in tech.

What Role Do Programmers Play?

Programmers are the harbingers of technology and have unmatched authority in decisions. Of course, programmers aren’t fully responsible for all the carbon emissions arising from the tech industry, but they are at least partly responsible for things such as:

• The use of automated technologies for excavation, processing, refinement, and distribution of fossil fuels coded by programmers are responsible in part for negatively affecting the climate and environment. Even though integrating an automation platform can be beneficial in all cases, companies should try to use it for high-priority business tasks.
• Additionally, other technologies used to extract, transfer, store, and analyze data by oil companies and other companies that profit from environmental exploitation are coded by programmers. For those that are trying to help create a more sustainable future, this shouldn’t be an industry you’re willing to work in.
• Failure to extend sustainability to users. For example, programmers can reduce the energy consumption of software products, leading to simpler processes and improved performance. This increases efficiency by reducing glitches and enhancing processing time. Programmers can also deploy software upgrades designed to increase memory consumption while maintaining speed in devices, thereby increasing their life span.

While programmers play a small role in the process directly, indirectly they can make a significant impact based on the decisions that they make. As many businesses are doing today, programmers can constantly innovate toward a better tomorrow while adopting sustainability.

So let’s take a look at a few climate-focused tech solutions that programmers can implement starting right now.

Climate-Focused Tech Solutions—What Can Programmers Do?

There’s no denying that the impact of technology on the environment is becoming a very serious issue. Luckily, there are a lot of things you, as a programmer, can do to help reduce these threats and potentially protect global ecosystems from rising temperatures, rapidly shifting climate patterns, and superstorms caused or exacerbated by the climate crisis.

You’ll find plenty of resources online, such as the Principles of Sustainable Software Engineering that set out best practices for defining, building, and running sustainable software applications. These include things that make it clear that everyone in the tech industry has a part to play:

• Carbon: Build carbon-efficient applications.
• Electricity: Building faster websites that require fewer requests can help reduce the amount of energy required by web servers.
• Carbon Intensity: Build apps that consume electricity with the lowest carbon intensity.
• Embodied Carbon: Build hardware-efficient applications.
• Energy Proportionality: Maximize hardware energy efficiency.
• Networking: Reduce the distance data needs to travel across the network.
• Demand Shaping: Build carbon-aware applications.
• Measurement and Optimization: Focus on optimizing overall carbon efficiency across the entire organization.

To help address these concerns, here are a few possible solutions that are relevant to programmers and anyone else involved in building, deploying, and managing applications:

• Use solar, wind, or geothermal energy at data warehouses. These alternative energy sources help to follow data center best practices such as harnessing outside air cooling, automating controls for lights, security, etc. and separating aisles based on cold and hot temperatures.
• Take action and use your programming skills to help scientists model the impacts of the climate crisis. 
• Be active in the goal to develop technologies that aim to reduce the impact of the climate crisis and superstorms.
• Refuse to code or program for companies that are leading the world toward ecological catastrophes, such as oil companies and others that profit directly from the worst forms of environmental exploitation.
• Develop green alternatives to Bitcoin and proof of work (PoW) Cryptocurrencies.
• Use practices like green coding to produce algorithms that reduce energy consumption during the use of the software as a way to extend sustainability to users.
• Sift through customer reviews and analyze relevant ones to find any hidden sustainability problems. For example, customers might talk about higher battery consumption after a device software upgrade, which would be a possible signal showing that the upgrade isn’t eco-friendly.
• Relocate or co-locate servers to maximize space at your data center as much as possible. This will minimize your energy and cooling costs significantly. If possible, you might even consider relocating your service to climates that are colder, as this will result in a reduction in carbon emissions.
• Migrate to the cloud, as cloud energy is considered more efficient because of the economy of scale.
• Use state-of-the-art IT systems, since legacy systems often require more power. Additionally, their large size often means more heat output that requires additional cooling. As a programmer looking to promote sustainability, you can determine the most applicable solutions to your needs so you can experience higher energy savings.

Extending the Conversation

Remember, it’s not only about the things you can do as an individual but also about spreading the word. This ensures that others around you are aware of sustainability problems and what can be done to mitigate them. Consider yourself not just a programmer but also a researcher and activist.

For example, you can educate your clients on the different ways they are responsible for sustainability. Here are a few ways you can discuss with others how to promote green IT:

• Setting Computers to Sleep: Shutting down laptops or putting computers to sleep is one way in which users can reduce energy consumption. You can set monitors to switch off after 15 minutes of inactivity and hard disks even sooner than that: five minutes with no activity.
• Upgrading to Smart Power Strips: Smart strips help to cut down on the type of vampire energy consumed by TVs, computers, and other peripheral devices.
• Share Printers: If you don’t need the use of a printer often, you might consider whom to share with, whether at home or in the office.
• Working Remotely: If your daily commute doesn’t involve walking or biking, then you might consider working from home as a way to help reduce GHG emissions that are associated with commuting.

There are many methods of education, but the most important thing to remember is to try to make things fun and entertaining.

After all, the climate crisis and environmental sustainability can be heavy topics, so you could ask someone experienced with graphic design software to create memes, images, infographics, or other visual content to help your clients better digest the material.

By raising awareness and educating others about the impact of their individual actions, you’re likely to change their mindset and habits so that more of your customers become environmentally conscious. Nowadays, a lot of specialists can work from home and reduce the number of cars on the road. Eliminating the daily commute of millions of workers seems like a simple climate victory.

A Summary for the Future of Humanity—A Final Look at Environmental Sustainability in Tech

Technology is a powerful force for driving progress, but as programmers, we can’t ignore the detrimental impact it has on sustainability.

Whether you are coding websites from scratch or using a professional website builder to facilitate your efforts, every act of programming, coding, and designing requires energy.

The tech industry continues to consume and release energy in a growing and never-ending cycle, which is why it’s all the more important for those in the industry to adopt sustainable practices in order to contribute to a greener future.

Many large organizations have already begun the journey toward net-zero environments as a way to help the environment. Nonetheless, eco-friendliness in the technology industry is still falling way short, and programmers must do their part to avert climate disaster by following the best practices outlined in this article.

Additionally, to fight the climate crisis, programmers may have to make sacrifices such as accepting lower salaries or volunteering their time in ways they wouldn’t usually do.

It’s up to you to consider taking proactive steps now to help reduce the threat of a future ecological apocalypse caused by the current climate crisis—for the future of humanity.

Over to you. What are you doing right now to build environmental sustainability into your development processes as a way to help stave off climate change? Let us know in the comments below!

The post 10 Ways Programmers Can Become More Environmentally Sustainable appeared first on Simple Programmer.

The latest statistics counted over 6.3 billion smartphone users worldwide (the world population at the moment is slightly over 7.9 billion). There probably isn’t a single person among your friends, family, or co-workers who doesn’t have a smartphone. We are all dependent on smartphones, checking them over 160 times a day and spending 88% of mobile time on apps.

As for what the future brings? Here are some current mobile app statistics:

• Mobile apps are predicted to generate $935 billion in revenue by 2023. In 2020 it was only $111 billion.
• 70% of digital media comes from mobile apps.
• 100,000 Android apps are released in the market each month.
• 50% of mobile usage time is spent on social media.
• 78% of users prefer mobile app shopping.

This year, we will see the change and unfolding of leading technologies that have been around for a while but will deepen roots in 2022. The following top 20 mobile app development trends will shed light on future technologies and help us figure out what to expect.

Top 20 Trending MobileApp Development Technologies

The future is now, as the saying goes, and this is certainly the case with the current mobile technology trends. Whether you are a mobile app developer, marketer, or user, the list below will surely interest you, helping you map the mobile app landscape of the near future.

1. 5G as a Mainstream

5G is one of the most expected and groundbreaking technologies—one that has been around since 2020, though we are still waiting for its global penetration and availability. The speed, accuracy, and efficiency that the technology brings will eventually speed up the development of other technologies.

There are already 660 million 5G-enabled devices in the market, giving users unlimited options of using a 100x faster connection. What else will we have with 5G?

• Reduced latency from 50 milliseconds to 1 millisecond
• Improved video streaming
• Smoother integration of augmented reality (AR) and virtual reality (VR)
• Super-fast data transfer
• Fast mobile payments
• Improved GPS performance
• New opportunities for smart cities and Internet of Things (IoT)

2. IoT and Cloud

The growing network of IoT (Internet of Things) continues evolving, and the smarter the technologies, the deeper the penetration of devices. Smart homes, smart cars, and smart cities are no longer innovations; they are part of our daily lives. The IoT market will touch $264 billion by the end of the year. The latest news in the industry was “Echo” devices and Google Home Voice Controller, enabling complete control over your devices.

In 2022, the IoT technology will have the following updates:

• Increased cybersecurity
• Advancements of IoT in the health care industry
• Automating business processes through machines
• Sustainability support

The development and expansion of cloud computing will significantly contribute to better productivity and network support of IoT. This year, businesses will adopt multi-cloud and hybrid cloud environments with more flexibility and private cloud options. Serverless computing will also rise in popularity, eliminating the risk of back-end failures.

3. AI and Machine Learning

We already live in an AI-driven world with unprecedented AI and ML-based innovations popping up every day. With a predicted 39.4% CAGR, the global AI industry will reach $20.76 billion from 2022 to 2030, presenting fundamental solutions to the digital community. The future trends to expect are as follows:

• Video analytics with facial recognition
• Improved automated cybersecurity
• AI’s massive role in the Metaverse
• Natural language processing
• Hyper automation to reduce human workforce
• Quantum AI—accurate data analytics and pattern prediction

4. Mobile Commerce

Amid the pandemic, e-commerce and m-commerce skyrocketed, providing all the freedom of shopping without leaving the house. In 2022, the technology will continue growing, pushing mobile commerce to the forefront. It will be faster, more secure, and more intelligent. What else to expect?

• Intelligent chatbots for customers to reach out
• One-click ordering without registration
• Voice search and voice shopping
• AR and VR experience when shopping

5. Instant Apps and Progressive Web Apps (PWAs)

The innovation in mobile app markets is instant apps that can be tested without downloading them. It is common to download an app, go through testing, and delete it for not meeting expectations. Now everything is more simplified. The users can test and use the app through a web link without installing it.

PWAs, enhanced with the power of being accessible and reliable on any device, are the next top trend in mobile app development, soon to replace native apps and webpages.

6. Wearable App Integration

If not already ruling, wearable devices will likely soon take over the world. By the end of 2022, the total number of wearable devices will reach 929 million, including all types of watches and trackers. Mobile apps should create solutions compatible with wearables to provide a seamless digital experience to keep the pace.

New wearable devices and trends coming soon are:

• Google Pixel Watch
• Wear 3.0 rolling out
• Smart ring fitness tracking
• Smart glasses to log events in a video
• Glucose tracking in smartwatches
• The Meta smartwatch
• Wearable device to track alcohol

7. Beacon Technology

Used since 2013, beacon technology has grown more prominent and more significant for businesses. The future of location-based technology will be more focused on the logistics and transportation industry. New Bluetooth low-energy beacons will be used for asset tracking or even people tracking—for example, patient monitoring in hospitals.

8. Augmented Reality/Virtual Reality

Virtual showrooms, e-commerce stores, and virtual try-on solutions rapidly gain popularity across mobile apps, making the user experience more realistic, thus driving higher conversion rates. We will have some new features with extended reality (XR) this year, a catch-all term for AR and VR:

• Interactive user manuals
• Virtual reality for next-gen shopping experience
• XR interfaces in Metaverse—natural and touchless interfaces controlled by our body
• XR in E-learning where learners are transported to a multisensory learning environment simulating real-world training scenarios

9. Apps for Foldable Phones

In 2022, over 50 million new foldable devices will appear in the market, pushing forward the development of apps compatible with foldable devices. Better experience will be achieved in video streaming services and gaming.

Mobile app development will be focused on creating products for extended and compressed screens for a better user experience.

10. Delivery Apps

Delivery services and apps made our lives way more comfortable during the lockdown. In 2022, food, grocery, and other delivery services will get faster and more reliable with secure payment systems, precise location, customer support, and more. Other on-demand apps (beauty, health care, taxi services, etc.) will also continue growing and show a successful change in the market.

11. Entertainment and Gaming

This year, games and entertainment apps will top the list of the most downloaded apps worldwide. By the end of 2021, users had already spent $120 billion on mobile games. According to statistics, one gaming app is available on the App Store for every four non-gaming apps. This year, we expect to see the following changes:

• More inclusive mobile gaming
• Improved gaming experience with 5G
• More spectatorship for mobile gaming
• Metaverse with NTFs and play-to-earn opportunities

12. Super Apps

Sounds cool, but super apps do mean a specific category of mobile apps. Businesses are shifting from single-purpose apps to super apps, i.e., one-stop solutions for multiple purposes. Starting in the Asian market, super apps are also slowly growing in popularity in other markets. For example, Facebook may be called a super app, as it was solely a social media platform that is now a marketplace.

13. Peer to Peer (P2P) Apps and Mobile Wallets

When considering online payments, I can’t imagine many people who don’t love this option and wouldn’t be willing to forgo cash payments one day. In 2019, $6.1 billion worth of transactions from mobile wallets were performed. It is predicted to have a 74% growth in numbers by 2025.

In 2022, mobile wallet integration will be a priority with a mobile-first approach. All the banks already have mobile banking and mobile wallets. Some of them still have a poor UX, but they still give freedom and functionality for online payment.

One trend expected to mark the mobile app development sector is peer-to-peer (transfer of funds between two parties) mobile apps. A projected amount of $612.23 billion will be spent on P2P mobile transactions by 2023, according to eMarketer.

P2P is a lifesaver and win-win solution for businesses and consumers for making and receiving payments. This year, we can expect the following trends in P2P payments:

• Built-in payments in social media platforms
• Mobile OS with built-in payments
• Cryptocurrency wallets

14. Blockchain

This technology has come a long way and is now applied to different spheres and industries, soon surpassing $20 billion in revenue with stable growth. Blockchain will be used for decentralized apps and wallets in mobile app development to track and convert cryptocurrencies. Blockchain as a service (BaaS) will come to offer secure tools and software to maintain payments, prevent fraud, and handle elections.

15. Predictive Analytics

To process big data and extract insights, mobile apps should be supported with powerful tools, i.e., predictive analytics that learns user behavior and generates results based on customer preferences.

For example, Netflix uses predictive analytics to recommend TV shows and movies based on a user’s habits or history. This year, predictive analytics will cover more segments (retail, banking, and financial services; health insurance; manufacturing; etc.) and improve user experience. It may also be used in the mobile development process for collecting data and discovering potential issues.

16. Mobile Learning

Starting from the global pandemic, eLearning has become the top popular option expanding and engaging more learners worldwide. Mobile learning already takes 67% of eLearning, being a more comfortable and practical option for accessibility on the go. For 2022, mobile learning will get some new features:

• Gamification with leaderboards and rewards
• Personalization—tailoring a program for an individual around specific needs
• AR and VR
• Adaptive learning with AI technology

17. 3D Graphics for Mobile Apps

Mobile UI and UX will have some fantastic features and a combination of retro and modern elements. As a recap of 2022 mobile UI/UX trends, the top popular feature will be 3D graphics and elements for real-time effect. This year though, 3D graphics will be more functional rather than decorative. For example, 3D elements are perfectly incorporated into shops to show the products more realistically and comprehensively.

18. Superior App Security

With deeper penetration of smartphones and the development of hundreds of thousands of apps dealing with sensitive data, mobile security concerns became more significant. There was a 54% increase in malware attacks targeting mobile devices. Fraud involving mobile devices makes up more than 60% of total fraud. The global community needed super security tools and options to be protected. The 2022 mobile security trends will bring us a little more protection:

• Biometric access control for higher security
• Clearer video security imaging
• Updated security and anonymity levels in mobile OSs

19. Chatbots

Digital technologies are getting more user-friendly and customer-focused, so customer services are a priority regardless of business type. To save on human resources and deliver higher productivity, both web and mobile platforms are now integrating AI-based chatbots that are faster and smarter. Chatbots have proven to be a top-notch solution to increase conversion rates, not even being part of digital marketing efforts.

20. Cross-Platform and Omnichannel Approach

Keeping user experience in mind, businesses strive to provide a seamless experience on all possible touchpoints. An average consumer may use up to six different devices, which means a business should consider at least four devices so that the customer can have a similar experience. Responsive web apps and cross-platform mobile apps perfectly deal with this challenge unifying the experiences.

The Future of Mobile Apps

Mobile apps will continue transforming the business environment and user experience with new technologies and tools. Mobile apps have become our best friends, with comfortable online payments, gaming, and communication keeping us dependent on their features.

By the end of 2022, there will be some changes and market growth, including metaverses, virtual realities, and smart robots, as well as completely revolutionary, mind-blowing technologies we’ve never seen before. But we can be absolutely sure that the world will never be the same.

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Though it’s difficult to predict how exactly this space will evolve and scale, it’s safe to say that developers have to learn new skills, relearn old skills, and focus on critical thinking and problem-solving. While you’ll need to learn new skills as new technologies emerge, it’s also important to brush up on old ones; some of these will be needed in the metaverse.

Whatever the metaverse promises to be today will probably only be a part of it in the future. Like in the early days of the internet, we haven’t even started imagining the extensive possibilities that come with web3.

What Is the Metaverse?

The term “metaverse” was coined by the author Neil Stevenson three decades ago in his science fiction novel Snow Crash. The story is about a future when people run away from their hopeless reality into colorful virtual realities in a computer-generated universe. He called this imaginary world the metaverse.

While the concept of virtual reality is nothing new, the metaverse takes it a step further: You’re not just viewing what’s on the internet, you’re in it. There are technologies available now that are a step into the metaverse, but no dominant platforms.

According to Victor Dornescu, co-founder and chief innovation officer at rinf.tech, “to bring the metaverse to life, we have to leverage a combination of technologies.” However, technology alone isn’t enough. Dornescu also said that “a shift in engineering culture and mindset is needed.”

As we race toward a new digital world, the likes of Google, Meta, and countless others will create plenty of jobs. For example, there are already plenty of job opportunities within the field of VR. These jobs demand specific skillsets, including knowing how to use new hardware.

Developers interested in building the metaverse will need to possess extensive knowledge about different types of related software, experience writing and debugging code, designing virtual environments, and much more. But the above is just the tip of the metaverse iceberg.

The Technologies You’ll Need To Learn To Work in the Metaverse

To develop applications in the metaverse, you’ll have to know how to use different technologies. As you can build a wide variety of digital products, you don’t have to understand how everything works, but some technologies like AI and VR will be a standard.

Virtual Reality

As mentioned at the beginning of this article, VR development skills are a must. This includes proficiency in developing VR content using available resources. As the metaverse is built on a foundation of VR, skills like VR development, 3D modeling, video editing, and wearable experience (including HoloLens, HTC VIVE, and Oculus) will be vital to getting your foot in through the door.

Artificial Intelligence (AI)

To build a robust application for the metaverse, you’ll need to have some AI application development skills. It’s important, as users will interact with AI-powered avatars, and you’ll also need it to help protect them and their sensitive data.

Metaverse developers must know how to code in C++, Java, Python, and R to build and deploy AI models. They must also be proficient in big data technologies like Apache Spark, Cassandra, Hadoop, and MongoDB.

It will also help to understand machine learning (ML) algorithms like KNN, linear regression, naive Bayes, support vector machines, and more. Metaverse builders must also have some experience with AI frameworks like Caffe, PyTorch, TensorFlow, and Theano.

They should also know how to work with deep learning (DL) algorithms like convolutional neural networks, generative adversarial networks, and recurrent neural networks.

Further on, quantum computing has already made essential breakthroughs with commercial applicability in elementary disciplines. The hardware limitations of ML/DL classic computing algorithms (CCA), addressing complex issues, created the need for complementing CCA with quantum computing algorithms (QCA), as the research demonstrates.

Extended or Mixed Reality (XR or MX)

Users will interact with virtual spaces without plunging into them, so whatever you build must also support AR, MX, and XR realities. Think of it like Pokemon GO on steroids! Especially with MX and XR, you will have opportunities to develop new business models, especially in e-commerce. For example, it may take the form of virtual clothes fitting or test driving.

Non-Fungible Token (NFT) Technologies

To build avatars, objects, and structures in web3, NFT development skills are paramount. This is because NFTs enable free movement from one server to another. In fact, everything in the metaverse, including avatars, objects, skills, and structures, will be implemented in the form of NFTs.

NFTS will be responsible for the continuity of identities across metaverses. After all, it’s also the best way to identify, confirm, and transfer ownership of digital assets. So developers need to be familiar with the blockchain, web3, smart contracts, and so on. Software engineers should also know how to code in programming languages like JavaScript, JSON, and Solidity.

Distributed Computing and Storage

As the metaverse will demand an enormous amount of computing power and storage, it’ll help to have some relevant knowledge to avoid potential crashes or interruptions. So you should know how to spread out computations and storage between multiple nodes.

Some other skills that may help you become a metaverse application developer are animation, game development, HTML, CSS, Node.js, MySQL, SQL, and Unity. As the metaverse is huge with different variables, there’s something for just about everyone.

Be Ready To Build the Metaverse

This space is in its infancy, and you can expect the metaverse to evolve with a wide range of new technologies in the years to come. So you must always be ready to keep learning as each industry vertical accelerates and scales within the metaverse.

As you can see, no matter what you’re doing within the software development field, there is a potential connection to the metaverse. If you’re looking for a job to build the metaverse, it’ll help to have the right combination of skills and technological knowhow to thrive.

The post The Skills You Need To Become a Metaverse Developer appeared first on Simple Programmer.

Software applications are constantly evolving, and technological innovation further bolsters this development. Standard software practices in use today might no longer be applicable in the next five years.

The post The Top 10 Software Development Trends To Watch In 2022 appeared first on Simple Programmer.

The world, undoubtedly, relates a lot to technology and there is likely no business or organization that is not striving hard to keep pace with the fast-moving technological trends. As the year 2022 approaches, it is interesting to observe the upcoming programming and technology trends that are set to drive innovation and modernization.

The post 10 Upcoming Technology and Programming Trends Set for 2022 appeared first on Simple Programmer.