Python

This language is used in web development, data science, machine learning, and process automation. Python is also known for being an easy language to learn. It is suitable both for people starting to develop in the IT field and for experienced specialists.

JavaScript

It is a flexible language. It is cross-platform compatible. It is suitable for creating various web applications. JavaScript is one of the most preferred languages for work in Europe. It is used in web development as well as front-end technologies.

Java

The language is suitable for creating enterprise applications as well as developing for Android. Java is one of the main languages used in the creation of secure software solutions in the technology industry.

C#

C# finds application in the creation of games, the development of enterprise software and Windows applications. The language’s ability to integrate with Microsoft’s various technologies makes it a highly desirable working language for programmers in Europe.

The rapid development of the .NET ecosystem and Unity in game development adds to the flexibility of C#, making the language even more stable when creating high-performance applications.

SQL

Structured Query Language (SQL) is the leader in database management in Europe. In the fields of finance, healthcare and e-commerce, mastery of SQL is highly sought after and valued.

Using the language is key for professionals who manage large databases, retrieve information, or ensure that data integrity is maintained in all types of institutions.

PHP

The language is a leader among web development and content management systems. PHP’s ability to integrate with databases, as well as its ease of use, make the language one of the most suitable for creating dynamic websites and various web applications.

Ruby

Ruby is a language often used by startups and web developers because of the convenient environment it provides to programmers. The language focuses on developer productivity and convenience. This makes it a suitable choice when creating web solutions.

Each one of the listed languages contributes to the creation and development of different applications or to the invention of different solutions for the needs of the European market. By knowing the strengths of languages, developers help drive innovation in technology.

The first update is the ability to extract information from large amounts of data. For example, it can analyze unstructured data, such as customer feedback, and summarize the most important points.

“If you aggregate thousands of transcripts of customer calls, you can ask Airtable AI to categorize each call according to sentiment (positive, negative, or neutral) and group the data accordingly”, Airtable wrote in a blog post.

The ability to automatically apply categories or tags to data is among the other new features. This helps teams keep their data better organized. Categories can be based on topics, product features, etc.

Users can also create content based on their data, such as generating emails for sales teams or draft campaign assets for marketing teams. This is done using message, product and audience information that has been stored in Airtable.

Other notable features include the ability to automatically translate content into multiple languages.

“Organizations have enormous potential to transform the way they work with AI,” said Howie Liu, co-founder and CEO of Airtable.

He further adds that with the new features, Airtable AI offers a fast way to introduce AI into data and workflows and “unlocks the possibilities of AI for small and large customers.

New features in the platform also include capabilities to improve data routing so it gets into the hands of the right team. This will save managers time spent in determining which teams data requests should go to.

Today we’ll take you through the most common questions and answers that every .NET developer needs to understand before entering the .NET programming world, presented by Noble Desktop.

Top 3 Most Important Questions and Answers about .NET Programming

What Can You Do with .NET Programming?
.NET programming is especially prominent in the gaming industry. Unity is one of the most popular game-making resources on the internet, and its programming language is C#. This programming language is also one of the most commonly-used languages within .NET Core. C# helps power popular games like Among Us, Beat Saber, Hollow Knight, Fall Guys, and Pokemon Go, and many solo developers and AAA game creators use it as their games’ backbone.

.NET is also common in applications for websites and mobile devices, making web development, mobile development, and iOS app development excellent industries to explore if you have these skills. If you have app development skills, you can work in any industry because every business would love an app to accompany their products, tools, and services.

What are the hardest parts of learning .NET programming?
Definitely the hardest part of .NET programming is sorting out everything you need to learn. There will be times when the amount of information you will want to explore will seem overwhelming. Because .NET programming is a framework of 32 languages, it can seem difficult to know where to start. For starters, it’s a good idea to narrow your starting point to three specific languages: C#, F#, and Visual Basic. Microsoft themselves recommend learning these three .NET programming languages because most companies use them to some degree. After that, you can now learn more .NET programming languages that are more specific to your role.

How does learning .NET programming compare to other applications/languages/fields?
In terms of usage and features, programming languages are mostly similar to JavaScript and Python. JavaScript works with frameworks, databases, and libraries. If you can program, JavaScript can enhance it further.

Many .NET languages are object-oriented programming languages. This means they organize their code based on data (or “objects”) rather than logic. Python is also an object-oriented language and is easier than most languages you’ll find in the .NET core. Learning this language first will help you understand how to navigate object-oriented languages and allow you to focus on the quirks of .NET instead of learning everything from scratch.

If you’re interested in a career with .NET, be sure to check out the opportunities here.

Val was originally a byproduct of the research that Dimi Racordon was doing with Google and Adobe on the Swift programming language and the discipline of variable value semantics, which maintains value independence to support local reasoning. Haskell, Rust, and R are other examples of languages that use variable value semantics.

“This is a project that started around two years ago. I wrote the paper, I collaborated with great people at Google and Adobe. After this paper, I had a small idea in the back of my head and I thought, oh, we’ll try implementing some stuff, it will be a two, three weeks project. And it’s been two years”, Racordon told The New Stack.

Her idea of a language that is all about variable-value semantics is one of the main reasons it created Val.

“Mutable value semantics is a programming discipline that really focuses on notional values. So if I have an array of things, for example, the value of this array is the most important concept that I want to manipulate. That gives me local reasoning”, she said.

Programming languages such as C++, JavaScript, Python, and Java distinguish between primitive data types such as integers or sometimes strings. These types behave like values, she says. Changing the value of an integer doesn’t create an observable side effect elsewhere in the program. This is not the case for other data types, such as aggregates, arrays, or hash maps, because they have reference semantics.

In her view, the optimizer must account for the fact that other references may exist and that some seemingly unrelated part of the program may need the value being mutated, so it is better to do nothing than to compromise that reference architecture.

The language is intended for system programming. It is mostly recommended for applications that work close to the metal and need to squeeze as much performance out of the machine as possible.

This includes uses such as operating systems, memory-intensive applications such as video games or image processing, and other applications that can’t afford a virtual machine or garbage collector. Embedded applications are also “a very interesting target,” she said.

For the moment Val is not something that would be used on the client side, but it could for example be used to embed something like Photoshop into a web browser via LLVM and then Web Assembly. Val has a similar build pipeline as C++.

And although the open source language is available on GitHub, it’s still being created. Racordon is looking for contributors to help develop it. The goal is to make it possible to download a compiler and write an app by the end of the year, she said.

She said Val will fit the same use cases as C++ and Rust, but without the safety issues of C++ and the complications of Rust.

And even some of the newer languages that come from other countries, like Python from the Netherlands or Lua from Brazil, are also in English, since English syntax is widespread throughout the world. And here are the non-English programming languages featured by Analytics India Magazine.

Top Non-English Programming Languages

Zhpy
Also known as ‘Chinese Python’, is a programming language that allows developers to write Python code using Chinese keywords and syntax. It isn’t a separate language but a variation of Python. It uses Python as its backend, which means that Zhpy code can be executed by a Python interpreter.

It allows developers to leverage the existing Python ecosystem and libraries while writing code in Chinese. It is commonly used in mainland China and Singapore. Traditional Chinese characters, used in Hong Kong and Taiwan, are not the focus of Zhpy.

Ruby
In 1993, Yukihiro Matsumoto created Ruby in Japan. He wanted to build an object-oriented programming language that could also be used for scripting. When originally published, Ruby had a Japanese section which was much more comprehensive. The Japanese Ruby community actively contributes to its development and evolution.

The Japanese Ruby community works on translating documentation, error messages, and programming resources into Japanese, ensuring that Japanese developers can work with Ruby more comfortably.

Haxe
Haxe is a high-level, cross-platform programming language that is known for its versatility and target platform compatibility. It supports multiple target platforms, including JavaScript, Flash, C++, and more. While Haxe itself is primarily based on English syntax and documentation, it has gained popularity and adoption in various non-English speaking countries.

Qalb
Qalb, the Arabic programming language developed by Ramsey Nasser, aims to provide a user-friendly and accessible coding experience for Arabic speakers. It has similar syntax and grammar rules as Lisp and Scheme and other programming languages. Qalb eliminates the language barrier that many Arabic-speaking individuals face when programming in English. It allows people to learn and practice programming concepts in their native language, which can make it easier for beginners to grasp the fundamentals of coding.

Citrine
​​Citrine is a programming language that places a strong emphasis on localisation as its core feature. It is designed to be translatable into every written human language, allowing developers to write code in their preferred language. For example, the West Frisian version of Citrine is known as Citrine/FY.

One of the key aspects of Citrine’s localisation is the translation of keywords, numbers, and punctuation into the target language. This means that developers can write code using keywords that are familiar and meaningful in their own language. Additionally, numbers and punctuation marks are also localized to match the conventions of the target language.

When selecting FinTech software, firms weigh a variety of factors including cost, scalability, potential for APIs, consistently high performance, compliance, security, and time to market. But the programming languages used most significantly influence these factors. Like anything else, programming languages have their advantages and disadvantages. Some of them improve performance, adaptability and security.

Today we’ve chosen to introduce you to key programming languages needed in the FinTech sector according to Analytics Insights.

Key Programming Languages in FinTech

Java
Being a well-known language with an extensive library of third-party components, Java is used in many Fintech systems because it facilitates the creation of complex Fintech software.

Python
Given that Python is among the most widely used programming languages, it is not surprising that it has had a dramatic impact on the Fintech sector. According to PyPI’s analysis of Google searches, Python is the most widely used programming language in the world.

Golang
Golang, commonly known as Go, is an open source programming language created by Google in 2009. It is quickly displacing other programming languages among fintech companies that need to launch soon and have a clear, scalable, and simple backend.

Ruby
Did you know that many startups in the digital finance sector use Ruby in combination with the Ruby on Rails framework for its productivity and ease of use? Some major reasons why developers prefer it are the security protections built into the framework and the simplicity of the language that saves time and money.

Scala
High-end distributed software systems used in financial products often process large amounts of data. Because it’s so productive and helps engineers shorten their source code, Scala is an excellent choice for processing them. There are at least two or three departures from Java. Additionally, the most popular Big Data frameworks that are vital to the FinTech sector have been developed using Scala.

Don’t miss this unique chance to share your knowledge, experience and passion with the global Java community at the most anticipated Java event of the year!

The Java2Days 2023 conference, taking place June 27-29 in the beautiful resort of Albena, Bulgaria is inviting speakers from around the world to share their proposals for talks, workshops and panel discussions. Java2Days 2023 is looking for inspiring and innovative content that covers a wide range of topics related to Java and its ecosystem, including.

Here are the topics it will cover:
🔸 Core Java features and enhancements
🔸 JVM languages and frameworks
🔸 Microservices and cloud-native development
🔸 Performance optimization and monitoring
🔸 Modern web development with Java
🔸 Security and privacy in Java applications
🔸 DevOps and continuous integration/delivery
🔸 Emerging trends and future directions in Java

If you have an idea that you believe will captivate and enlighten the Java community, submit your proposal. Java2Days welcome submissions from speakers with diverse backgrounds and expertise levels, from seasoned professionals to first-time presenters.

By presenting at Java2Days 2023, you will have the opportunity to:
🔹 Share your knowledge and experience with a passionate and engaged audience
🔹 Network with fellow Java professionals, enthusiasts, and industry leaders
🔹 Gain recognition as an expert in your field
🔹 Contribute to the growth and development of the Java community

To submit your proposal, please visit here and complete the submission form. The deadline for submissions is May 31st, 2023. Selected speakers will be notified by June 5th, 2023 or earlier.

Don’t miss this incredible opportunity to showcase your expertise and make a lasting impact on the Java community. Submit your proposal today and join the big and exciting world of Java2Days 2023!

The head of product at Magna, Nitesh Gupta, told Medium that the new airdrop tool is similar to the Disperse app that was launched in 2018.

The latest product, with a meme-inspired name – wentokens.xyz, is part of Magna’s vision to improve performance in low-level optimizations. The tool is claimed to be “30% cheaper and can process more transactions” than its competitor.

“The approach I took is quite similar to Disperse’s relatively standard airdrop. Where we differ is that I utilize inline assembly to skip…unnecessary EVM opcodes that plain solidity code would be subject to”,

said Harrison Leggio, protocol engineering lead at Magna.

“When people write at a lower level, it can be more optimal. I would say that lower-level languages tend to be harder to write and harder to read and reason — but they’re actually simpler and there’s less things going on.”

said Nitesh Gupta.

Patrick Collins, founder of Cyfrin, a security auditing firm, has previously noted that he hopes more cryptocurrency projects will eventually start to be written in lower-level languages, as this will help reduce gas prices significantly.

Working at home, one needs to hone their skills and deliver excellent results to clients. Anyone who wants to excel in this field must master the most expensive skills. And today we have chosen to present to you the 7 most in-demand technical skills, according to Tech Juice, that would be enough for any freelancer to be truly professional and successful in their work from the comfort of their home.

Top 7 Most Wanted Skills for Freelancers

Full-Stack Development
A full-stack developer is known as a software programmer with all the skills to handle all aspects of the development process. This includes both the front-end and the back-end Stack development.

The main objective of a full-stack developer is to build a complete web application from scratch to the End. A full-stack developer works on the server side (back End) and the client side (front End). To work well, a full-stack developer must be able to handle coding niches, from databases to graphic design and UI/UX management.

Mobile App Development
A mobile App Developer is a software developer who can make apps for smartphones, tablets and computers. A mobile app developer must know the coding languages and knows to fix the bugs and errors that arise in the software.

Hence, Native App Development involves creating separate apps for different platforms. At the same time, hybrid app development involves creating a single app that can run on multiple platforms.

Web-Design
It is a process of creating a visual and user experience website. The process includes implementing various design elements such as colour, layout, typography, images and graphics to create an aesthetically appealing and user-friendly website.

A web designer has to perform the following key tasks: Use easy to read fonts; Using colors ,fonts, layouts; Placing images, logos, videos, text, and other elements; Choosing an attractive color scheme; Design optimized website pages for both desktop and mobile.

UX/UI Design
UX design is used to design products such as websites and mobile apps. uX designers work on improving usability and accessibility that provides complete satisfaction in the interaction with the product.

Whereas, UI design is the graphic design of the user’s interface. It works on designing the visual elements of the interface of a product, including creating mockups and prototypes and ensuring consistency in the product’s visual design.

CMS Development
It creates and maintains software that enables users to create, manage and publish digital content. Whereas, Custom CMS development is not based on an existing platform. It allows the organization to have complete control over the functionality and features of the CMS.

Joomla is a free and open-source content management system specifically used to create and manage websites. Drupal is used to build and manage websites. It uses PHP programming languages.

Manual Testing
It is a process of testing different software applications without using automated tools. It uses to test manually and identify all the bugs and errors, them compares the result with expected outcomes.

A manual tester needs to have the following skills like Technical knowledge, Adaptability, Creativity, Familiarity with testing, Problem-solving skills, Analytical skills, Communication skills, Attention to detail

Script And Automation
It refers to using code and tools that automate repetitive or time-consuming software testing and development tasks. It is specifically used to write small, lightweight scripts or programs to automate specific tasks.

Script and Automation require the following skills like Programming, Analytical skills, Communication, Time management skills, Problem-solving skills, Familiarity with software testing, Knowledge of automation tools.

What is important to note is that the project objectives need to be defined before a set of tools is selected. Web 3.0 technologies promise to solve a host of problems related to payments, decentralized supply chain applications and new business models more efficiently than classic World Wide Web technologies.

Identifying specific goals can help development teams create a short list of appropriate tools, libraries, and applications. And today, we’ve chosen to share with you which are the 10 most promising Web 3.0 development tools according to Tech Target.

The best Web 3.0 development tools

1. Alchemy
Alchemy is a Web 3.0 development platform for connecting dApps to blockchains. It includes tools for NFTs, DeFi, wallets, gaming, and integrating Web 2.0 and Web 3.0 apps. It provides a complete developer platform supporting infrastructure, products and debugging.

2. Casper
Casper is a smart contract platform that supports popular Web 2.0 development languages like Rust and WebAssembly. It includes tools that help update smart contracts with bug fixes as well as new features and functionality. It is focused on enterprise use cases to help organizations adopt software development best practices, such as continuous integration and delivery for blockchain apps.

3. Chainlink
Chainlink helps developers implement decentralized blockchain oracles on the Ethereum platform. This capability helps facilitate data exchange with smart contracts that run on the Ethereum blockchain. Key features include support for reliable tamper-proof networks, connection via common APIs and pre-built oracles for various use cases.

4. Chainstack
Chainstack provides a complete set of tools to build, run and scale blockchain apps. It supports all the most popular blockchains and sidechains. It also includes various primitives to help create NFTs and deployed dApps that use decentralized blockchain storage platforms like IPFS. Network management and operations tools help scale blockchain infrastructure for large deployments.

5. Ethernal
Ethernal is an open source blockchain explorer that helps automatically synchronize apps with smart contracts running on various blockchain platforms. Contract integration capabilities also enable developers to write code that interacts with smart contracts. In addition, Ethernal provides multiple tools for instrumenting smart contract code for transaction tracing and for decoding variables used in dApps. It can also integrate with other popular tools like Hardhat.

6. Etherspot
Etherspot is a multichain smart-wallet platform that helps reduce the number of steps needed for Web 3.0 transactions, which can improve the user experience. It also supports various tools for connecting Web 2.0 apps to blockchain networks. Account abstraction is a significant feature, allowing users to execute multiple blockchain transactions with a single click.

7. Fluree
Fluree is an open source blockchain database to help developers integrate legacy data applications into a blockchain. It supports graph databases, analytics and master data management on dApps.

8. Hardhat
Hardhat is an Ethereum development environment with various tools to manage and automate recurring tasks. It allows developers to run Solidity locally and test and debug Solidity code on their laptops before deploying into live dApps. Hardhat also supports features for performing stack traces and generating explicit error messages when problems arise.

9. OpenZeppelin
OpenZeppelin provides an assortment of tools to help developers build, automate and run dApps. OpenZeppelin Contracts is a modular smart contract library that supports industry best practices, while OpenZeppelin Defender provides a secure operations platform for smart contracts.

10. Solidity
Solidity is a popular language for implementing smart contracts. It allows developers to create programs that run on Ethereum Virtual Machine, the runtime environment for executing applications on the Ethereum blockchain. Solidity also supports the Hyperledger Fabric blockchain. Developers often use some of the other tools on this list, like Alchemy, OpenZeppelin and Hardhat to help create and debug Solidity apps.