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Top Programming Languages to Learn in 2024: What Employers are Looking for

In the ever-evolving world of technology, staying ahead of the curve is crucial for both job seekers and employers. For IT professionals, mastering the right programming languages can significantly enhance job prospects and career growth. For employers, finding candidates with the right skill set is essential to maintaining a competitive edge. IT staffing services play a critical role in bridging this gap by understanding market trends and matching talent with demand. In this blog, we'll explore the top programming languages to learn in 2024 and what employers are looking for in the IT job market.

1. Python

Why It's Popular: Python remains one of the most versatile and widely-used programming languages. Its simplicity and readability make it a favorite among beginners and seasoned developers alike. Python is extensively used in web development, data science, machine learning, artificial intelligence, and automation.

Employer Demand: According to a 2024 report by Stack Overflow, Python is the most in-demand language, with 70% of respondents stating they use it regularly. Employers look for proficiency in frameworks such as Django and Flask for web development and libraries like Pandas, NumPy, and TensorFlow for data-related tasks.

Preparation Tips: Focus on building projects that showcase your ability to solve real-world problems using Python. Participate in open-source projects and contribute to the Python community to enhance your skills and visibility.

2. JavaScript

Why It's Popular: JavaScript is essential for web development, enabling interactive and dynamic content on websites. With the rise of frameworks like React, Angular, and Vue.js, JavaScript's role has expanded significantly in front-end development. Additionally, Node.js has made it a powerful tool for back-end development.

Employer Demand: IT staffing services report a high demand for JavaScript developers, particularly those skilled in modern frameworks and libraries. Companies seek developers who can create seamless user experiences and handle complex client-side and server-side interactions.

Preparation Tips: Gain proficiency in popular JavaScript frameworks and libraries. Build a strong portfolio with diverse web applications, showcasing both front-end and back-end development skills.

3. Java

Why It's Popular: Java is a long-standing favorite for enterprise-level applications due to its robustness, scalability, and platform independence. It's widely used in developing Android apps, web applications, and large-scale systems.

Employer Demand: Employers value Java for its reliability in handling large and complex systems. Knowledge of frameworks like Spring and Hibernate is often sought after, as well as experience in developing Android applications.

Preparation Tips: Focus on mastering core Java concepts and exploring enterprise frameworks. Create projects that demonstrate your ability to develop scalable and efficient applications.

4. SQL

Why It's Popular: SQL (Structured Query Language) is fundamental for database management and manipulation. With the explosion of data-driven decision-making, SQL remains indispensable for querying and managing relational databases.

Employer Demand: SQL skills are essential for roles in data analysis, database administration, and back-end development. Employers look for proficiency in database systems like MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.

Preparation Tips: Develop a strong understanding of database design, normalization, and optimization techniques. Work on projects that involve complex queries, data manipulation, and integration with other programming languages.

5. Go (Golang)

Why It's Popular: Developed by Google, Go is known for its efficiency, performance, and simplicity. It is particularly well-suited for building scalable and high-performance applications, making it popular for cloud services, distributed systems, and microservices.

Employer Demand: Go is increasingly sought after by companies looking to develop robust and efficient backend systems. Its concurrency model and performance advantages make it a preferred choice for high-demand applications.

Preparation Tips: Learn Go by working on projects that require high performance and scalability. Familiarize yourself with its concurrency model and networking libraries.

6. Rust

Why It's Popular: Rust is celebrated for its performance and memory safety. It’s designed to ensure safe concurrency and eliminate common programming errors. Rust is gaining traction in system-level programming, game development, and applications requiring high reliability.

Employer Demand: Companies working on performance-critical applications, embedded systems, and game engines are increasingly seeking Rust developers. Its growing community and strong backing from companies like Mozilla highlight its potential.

Preparation Tips: Focus on understanding Rust’s ownership model and safety guarantees. Work on projects that demonstrate your ability to develop safe and efficient systems.

7. Kotlin

Why It's Popular: Kotlin is officially supported by Google for Android development, making it a must-learn for mobile app developers. Its modern syntax and seamless interoperability with Java have led to its widespread adoption.

Employer Demand: Kotlin is highly demanded by companies developing Android applications. Employers appreciate its concise syntax and features that reduce boilerplate code.

Preparation Tips: Gain experience by developing Android applications using Kotlin. Showcase your ability to migrate Java codebases to Kotlin and leverage Kotlin’s unique features.

Conclusion

In 2024, the IT job market is characterized by a diverse set of programming languages catering to various technological needs. For IT staffing services, understanding these trends is crucial to matching the right candidates with the right opportunities. Job seekers should focus on mastering the languages most relevant to their desired roles and industry demands. Employers, on the other hand, should clearly define their technical needs and work closely with IT staffing services to attract top talent.

[shalu620]

Level Up Your Coding Skills: Unveiling the Perfect Programming Language After Python

Conquered Python? Congrats! Now you're ready to set sail on the vast ocean of programming languages. But with so many options, choosing your next adventure can feel overwhelming. Fear not, brave coder! This guide will unveil some top contenders to help you chart your course to programming mastery. Considering the kind support of Learn Python Course in Hyderabad, Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

JavaScript: The Web's Dynamic Duo

For web development enthusiasts, JavaScript is your trusty sidekick. This essential language breathes life into static web pages, crafting interactive experiences and user interfaces. Master JavaScript and unlock the power of frameworks like React and Angular to build cutting-edge web applications.

Java: Enterprise Muscle

Java, a programming powerhouse, is a gateway to vast enterprise opportunities. From Android app development to large-scale systems, Java's versatility reigns supreme. Its robust libraries and extensive ecosystem make it a top choice for building reliable and scalable applications.

Go (Golang): Simplicity Meets Speed

Craving a modern language built for speed? Look no further than Go (Golang). Developed by Google, Go excels at handling multiple tasks simultaneously (concurrency) and scales effortlessly. Its simplicity and lightning-fast execution speed make it ideal for building cloud applications and modern distributed systems.

C#: The Microsoft Maestro

C# is the language of choice for the Microsoft world, particularly game development. Widely used with the Unity engine, C# empowers you to create immersive games across various platforms. But C# doesn't stop there – it's also used for building desktop, mobile, and web applications using the .NET framework, making it a versatile language with broad appeal. Enrolling in the Best Python Certification Online. can help people realise Python’s full potential and gain a deeper understanding of its complexities.

Swift: Mastering the Apple Ecosystem

Swift is the golden key for aspiring iOS app developers. Created by Apple, Swift boasts a modern design, safety features, and seamless integration with Apple's platforms. With Swift in your arsenal, you can unleash your creativity and develop captivating apps for iPhones, iPads, Macs, and more.

Rust: The Systems Programming Champion

For those venturing into systems programming, Rust is a name to remember. Praised for its blazing speed, memory safety, and ability to handle multiple tasks simultaneously, Rust is gaining traction in areas like embedded systems and web server infrastructure. Its unique blend of safety and performance makes it a valuable asset for any developer's toolkit.

Data Science Duo: R and Julia

If your heart beats for data analysis and machine learning, R and Julia offer specialized toolkits. R is a data scientist's favorite for statistical analysis and data visualization. Julia, on the other hand, combines high performance with user-friendliness, making it perfect for tackling numerical computing and machine learning challenges.

The Final Quest: Choosing Your Path

The perfect language after Python depends on your coding ambitions. Are you drawn to web development, mobile apps, systems programming, or data science? This guide has highlighted just a few exciting options. Remember, the journey of learning never ends. Embrace the challenge, conquer new languages, and unlock a world of opportunities in the ever-evolving realm of technology. Happy coding!

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👨‍💻 Programming Languages: A World of Diversity 🌐

In the vast realm of programming, languages are the tools that empower developers to create, innovate, and solve problems. Each programming language brings its unique syntax, features, and paradigms to the table, catering to different needs and preferences. Let's embark on a journey through this diverse landscape!

1. Python 🐍: Known for its simplicity and readability, Python has soared in popularity among beginners and seasoned developers alike. Its versatility allows it to excel in web development, data science, machine learning, and more. With a rich ecosystem of libraries and frameworks like Django and Flask, Python continues to be a go-to choice for many projects.

2. JavaScript 💻: As the language of the web, JavaScript powers the interactive elements of websites and web applications. With the rise of frameworks like React, Angular, and Vue.js, JavaScript has evolved beyond the browser, enabling developers to build robust front-end and even full-stack applications. Its asynchronous nature and event-driven architecture make it indispensable for modern web development.

3. Java ☕: Renowned for its portability and scalability, Java remains a stalwart in enterprise software development. With the advent of Android, Java has also become the primary language for mobile app development on the platform. Its strong typing and extensive standard library contribute to its reliability and performance in large-scale projects.

4. C/C++ 🖥️: The backbone of system programming and high-performance computing, C and C++ offer unparalleled control over hardware and memory. From operating systems to game engines, these languages power critical software where efficiency is paramount. While they may have steeper learning curves compared to higher-level languages, their performance benefits justify the investment for many projects.

5. Swift 🍎: Apple's Swift has revolutionized iOS and macOS development with its modern syntax and safety features. Designed to be fast, expressive, and easy to learn, Swift has gained traction among developers building apps for Apple's ecosystem. With SwiftUI simplifying UI development and Swift becoming open-source, its popularity is on the rise beyond Apple platforms.

6. Go (Golang) 🚀: Developed by Google, Go combines simplicity with performance, making it ideal for building scalable and concurrent systems. With its built-in support for concurrency through goroutines and channels, Go excels in handling parallel tasks efficiently. Its static typing and minimalist syntax contribute to rapid development without sacrificing runtime efficiency.

7. Ruby on Rails 💎: Ruby on Rails, or Rails, embodies the principles of convention over configuration and don't repeat yourself (DRY), streamlining web development and emphasizing developer productivity. With its elegant syntax and vast collection of gems, Rails enables rapid prototyping and the creation of robust web applications with minimal boilerplate code.

8. TypeScript 📝: A superset of JavaScript, TypeScript adds static typing and other advanced features to the language, enhancing code maintainability and scalability. With its strong tooling support and compatibility with existing JavaScript codebases, TypeScript has gained popularity in large-scale projects where type safety is crucial.

9. Rust 🦀: Renowned for its emphasis on safety, performance, and concurrency, Rust offers a modern solution to system programming challenges. Its ownership model and borrow checker enforce memory safety without sacrificing runtime speed, making it suitable for building reliable and secure software, especially in domains like embedded systems and networking.

10. PHP 🐘: Despite its critics, PHP remains a cornerstone of web development, powering a significant portion of the internet's dynamic content. With frameworks like Laravel and Symfony, PHP enables developers to build robust and scalable web applications quickly. While it has faced scrutiny for its inconsistencies, PHP continues to evolve, addressing performance and language design concerns.

[edoxi]

Google uses a wide range of programming languages for various purposes. Some of the important ones include:

Java: Often utilized in Google's backend infrastructure and Android development.

Python: Used for several purposes, such as machine learning, web development, and scripting. Python is employed frequently in Google's AI and data analysis.

C++: Frequently utilized in programs that require high performance, including the Google Chrome browser and a few components of the Google search network.

Go (Golang): Created by Google, this programming language is designed to create scalable and effective systems. Go is used to implement the well-known container orchestration system Kubernetes.

JavaScript: A vital component of web development, this script powers numerous online apps and services including Google Maps.

C: Used by Google to build many of the company's core systems and infrastructure.

In order to meet various needs and maximize performance, Google's wide range of products and services requires the employment of many programming languages.

[logicaldottechsworld]

The Programming Landscape in 2024: Choosing the Best Language for Success

In the dynamic realm of technology, the choice of programming language can significantly impact a developer's career trajectory. As we step into 2024, the landscape continues to evolve, with new languages emerging and established ones adapting to meet the demands of an ever-changing industry. In this era of innovation, selecting the best programming language to learn is a critical decision for aspiring and seasoned developers alike.

Python, often hailed as a versatile and beginner-friendly language, maintains its stronghold as a top choice for learners in 2024. With its clean syntax, extensive libraries, and applications spanning web development, data science, artificial intelligence, and more, Python serves as a Swiss army knife for developers. Its readability and ease of use make it an ideal starting point for beginners, while its widespread adoption ensures ample job opportunities.

JavaScript, the language that powers the web, continues to be indispensable in 2024. As web applications become increasingly sophisticated, JavaScript's role in front-end and back-end development grows. Frameworks like React and Vue.js dominate the front-end landscape, while Node.js empowers developers to use JavaScript for server-side scripting. Learning JavaScript provides a solid foundation for full-stack development, opening doors to a plethora of opportunities in the web development domain.

For those intrigued by the promise of machine learning and artificial intelligence, Python remains a go-to language. Libraries like TensorFlow and PyTorch have solidified Python's position as a leading language in the AI and data science spheres. The demand for AI expertise continues to surge, making Python an invaluable asset for developers aiming to dive into the world of intelligent systems.

In the fast-paced world of mobile app development, Swift and Kotlin emerge as standout choices in 2024. Swift, designed by Apple, is the language of choice for iOS development, while Kotlin has gained traction for Android app development. Learning either or both of these languages opens doors to the lucrative field of mobile app creation, catering to the ever-expanding user base of smartphones and tablets.

The rise of DevOps and cloud computing has propelled languages like Go (Golang) into the spotlight. Go's efficiency, concurrency support, and seamless integration with cloud platforms make it a preferred choice for building scalable and distributed systems. As organizations increasingly embrace cloud-native architectures, proficiency in Go becomes a valuable skill set for developers aiming to stay at the forefront of technology trends.

In the realm of data analytics and visualization, SQL continues to be a stalwart. Its role in managing and querying relational databases is fundamental across various industries. As data-driven decision-making becomes more prevalent, mastering SQL is essential for professionals seeking roles in data analysis, business intelligence, and database administration.

Ultimately, the best programming language to learn in 2024 depends on individual goals, interests, and the specific industry landscape. A strategic approach involves understanding market trends, assessing personal preferences, and considering the long-term viability of a language. While Python, JavaScript, Swift, Kotlin, Go, and SQL stand out in their respective domains, the most impactful choice is one that aligns with an individual's career aspirations and the evolving demands of the tech industry.

In conclusion, the programming language landscape in 2024 offers a diverse array of options, each with its unique strengths and applications. Whether embarking on a coding journey for the first time or expanding existing skills, developers can make informed decisions by considering the current industry trends and their own professional objectives. As the technological landscape continues to evolve, adaptability and a continuous learning mindset remain the keys to success in the ever-changing world of programming.

[jprie]

What programming languages are best for cyber security?

Cybersecurity is a diverse field that encompasses various tasks such as penetration testing, network security, malware analysis, cryptography, and more. Different programming languages are suitable for different aspects of cybersecurity. Here are some programming languages commonly used in the field:

Python:

Widely used in cybersecurity for its simplicity and readability.

Extensive libraries and frameworks (e.g., Scapy, PyCrypto, Requests) make it suitable for tasks such as network scanning, scripting, and automation.

Popular for developing security tools and scripts.

JavaScript:

Essential for web security.

Used for both offensive (e.g., cross-site scripting) and defensive (e.g., securing web applications) purposes.

C and C++:

Commonly used in low-level programming and for developing security-related tools.

Useful for tasks such as reverse engineering and writing exploits.

Java:

Often used in enterprise environments for developing secure applications.

Android apps are primarily written in Java, making it important for mobile security.

Ruby:

Known for its simplicity and productivity.

Metasploit, a popular penetration testing framework, is written in Ruby.

Bash/Shell scripting:

Essential for writing scripts to automate tasks and perform system-level operations.

Go (Golang):

Known for its efficiency and performance.

Used in developing security tools and for tasks like building scalable network applications.

SQL:

Important for database security and understanding how attackers exploit database vulnerabilities.

Assembly Language:

Essential for low-level understanding, especially in reverse engineering and analyzing malware.

Perl:

Historically used for various security tasks, though its popularity has decreased in recent years.

When choosing a programming language for cybersecurity, it's important to consider the specific tasks you want to perform and the tools you'll be working with. Many cybersecurity professionals use a combination of languages to address different aspects of their work. Additionally, staying updated on the latest developments in cybersecurity and understanding the tools and frameworks available in the community is crucial for success in the field.

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Embracing Innovation: Top 24 Web Designing Languages to Master in 2024

In the ever-evolving landscape of web development, staying updated with the latest languages is paramount for any designer or developer. As we venture into 2024, the realm of web design continues to witness transformative advancements, pushing boundaries and ushering in new possibilities.

Here’s a comprehensive guide to the top 24 web designing languages poised to shape the digital sphere in 2024:

Front-end Languages:

HTML (HyperText Markup Language): The cornerstone of web development, HTML remains indispensable for structuring web content.

CSS (Cascading Style Sheets): Essential for styling and presenting HTML elements, CSS empowers designers to create visually appealing websites.

JavaScript: A dynamic language facilitating interactive web elements, JavaScript remains a core language for front-end development.

TypeScript: Building on JavaScript, TypeScript brings static typing, aiding in the development of scalable and maintainable web applications.

Sass/SCSS: These CSS preprocessors enhance efficiency by introducing variables, nesting, and mixins, streamlining stylesheets.

Vue.js, React, Angular: These front-end frameworks continue to dominate, offering powerful tools for building robust, responsive, and interactive user interfaces.

Back-end Languages:

Python: Known for its readability and versatility, Python continues to be a preferred language for back-end development, thanks to frameworks like Django and Flask.

JavaScript (Node.js): Expanding its domain to server-side scripting with Node.js, JavaScript enables full-stack development, unifying front-end and back-end processes.

Ruby: Renowned for its simplicity and elegance, Ruby, coupled with the Rails framework, fosters rapid application development.

PHP: Despite criticisms, PHP remains prevalent, powering a significant portion of the web, especially with frameworks like Laravel and Symfony.

Golang (Go): Recognized for its speed and concurrency, Go is gaining traction in building scalable and efficient web applications.

Database Languages:

SQL (Structured Query Language): Fundamental for managing and querying relational databases, SQL expertise remains invaluable.

NoSQL (MongoDB, Firebase): Non-relational databases continue to rise, offering scalability and flexibility, suitable for modern web applications.

Markup Languages:

XML (Extensible Markup Language): Still utilized for specific applications, XML maintains relevance in data exchange and configuration.

JSON (JavaScript Object Notation): Lightweight and easy to parse, JSON is a preferred format for data exchange in web APIs.

Styling Languages:

Less: Similar to Sass/SCSS, Less simplifies CSS authoring with its dynamic stylesheet language.

PostCSS: Leveraging JavaScript plugins, PostCSS automates CSS processes, enhancing code efficiency and compatibility.

Specialized Languages:

Rust: Known for its safety features and performance, Rust is gaining attention for web assembly and system programming.

Elixir: Recognized for fault-tolerance and scalability, Elixir, with the Phoenix framework, excels in building real-time applications.

Emerging Languages:

Deno: Positioned as a secure runtime for JavaScript and TypeScript, Deno presents a potential alternative to Node.js.

Kotlin: Initially designed for Android, Kotlin’s conciseness and interoperability make it a contender for web development.

Web Assembly Languages:

AssemblyScript: A subset of TypeScript, AssemblyScript enables compiling TypeScript to WebAssembly for high-performance web applications.

Rust (WebAssembly): Utilizing Rust for WebAssembly empowers developers to create high-speed, low-level web applications.

Augmented Reality (AR) and Virtual Reality (VR) Languages:

Unity (C#): For immersive web experiences, Unity with C# supports the development of AR and VR applications on the web.

In the fast-paced world of web design, mastering these languages opens doors to innovation and empowers designers and developers to craft exceptional digital experiences. As 2024 unfolds, embracing these languages will be key to staying at the forefront of the ever-evolving web design landscape.

[industry212]

10 Essential Programming Languages for Every Developer

"Mastering 10 Essential Programming Languages for Versatile Developers"

INTRO

In the fast-paced realm of technology, choosing the right programming languages is paramount for developers navigating a landscape marked by diversity and innovation. This article delves into the core of software development, presenting a curated list of 10 essential programming languages that form the backbone of modern coding endeavors. From Python's renowned versatility to Java's robust scalability, each language plays a distinctive role in shaping the technological landscape. As developers strive for mastery in an ever-evolving industry, this exploration serves as a guide, highlighting the key languages that promise a competitive edge and open doors to a myriad of possibilities. Join us on this journey through the programming landscape, where proficiency in these languages is the key to unlocking limitless potential.

Python: The Swiss Army Knife of Programming Languages

Python has risen to prominence as one of the most versatile and beginner-friendly programming languages. Known for its readability and simplicity, Python is widely used in web development, data science, artificial intelligence, and automation.

JavaScript: Powering the Web

JavaScript is the essential scripting language for front-end web development. With the advent of popular frameworks like React, Angular, and Vue.js, JavaScript has become indispensable for creating dynamic and interactive user interfaces.

Java: Building Robust and Scalable Systems

Java, known for its platform independence and portability, remains a cornerstone in enterprise-level development. It's widely used in building large-scale applications, Android mobile apps, and server-side components. Java's strong typing and object-oriented nature contribute to creating robust, scalable, and maintainable systems.

C#: Microsoft's Powerhouse for Software Development

C# (C-sharp) is a powerful, modern programming language developed by Microsoft. Widely used for building Windows applications, games using Unity, and web applications through ASP.NET, C# is known for its simplicity and integration with the .NET framework. Its syntax is similar to Java, making it easier for developers to transition between the two languages.

SQL: Managing and Querying Databases

Structured Query Language (SQL) is a domain-specific language designed for managing and querying relational databases. Whether you are a web developer, data analyst, or business intelligence professional, understanding SQL is crucial for manipulating and extracting valuable insights from databases.

Go (Golang): Efficient and Concurrent Programming

Go, or Golang, was developed by Google to address the need for a language that combines efficiency, simplicity, and concurrency support. Go excels in building scalable and performant applications, especially in the realm of distributed systems and microservices. Its clean syntax and built-in support for concurrent programming make it a favorite for developers working on cloud-based applications.

Ruby: Elegant and Productive Programming

Ruby is celebrated for its elegant syntax and focus on developer productivity. Often used in web development, particularly with the Ruby on Rails framework, Ruby promotes the principle of convention over configuration, streamlining the development process. Its readability and expressiveness make Ruby an excellent choice for startups and developers seeking rapid prototyping

Swift: Apple's Language for iOS Development

Developed by Apple, Swift has quickly become the go-to language for iOS and macOS app development. Swift combines modern programming features with speed and safety, making it an attractive choice for building robust and efficient mobile applications. Its syntax is concise, and it eliminates common programming errors, enhancing the overall development experience.

Rust: Empowering Systems Programming

Rust has gained popularity for systems programming due to its focus on memory safety without sacrificing performance. Developed by Mozilla, Rust is designed to prevent common programming errors like null pointer dereferences and buffer overflows.

Kotlin: Modern Alternative for Java on Android

Kotlin, endorsed by Google as an official language for Android development, offers a more concise and expressive syntax compared to Java. It seamlessly integrates with existing Java code, making the transition smooth for developers.

For More Updates

[raghunath-nandyala]

Abstract Fusion of Science, Engineering, and Open-Source Innovation

Summary:

Science and Better World: The intersection of science and engineering creates architectural marvels like the Burj Khalifa and Eiffel Tower, inspiring personal scientific pursuits, and experiments from a young age, influenced by a father with a deep interest in history, cultures, and technology.

Scenes behind Open-source Projects: The author's career journey reveals the impact of open-source projects in the software industry, highlighting the transition of these projects into major corporate ventures and the importance of strategic approaches for their success.

Future of Open Source and General Science: The next decade is expected to see a fusion of general science and software in open-source projects, offering practical solutions to real-world problems and positioning stakeholders to effectively navigate future uncertainties.

Science and Better world:

Teaching kids about science is a natural process. However, very few people explore science as a pursuit. Science and Engineering are two distinct areas: one begins with theory, while the other starts with execution. Both are jointly used to build significant structures. The Burj Khalifa, Eiffel Tower, and Golden Gate Bridge all embody a blend of theory and execution. Common people marvel at these structures, yet they are often unaware of the many underlying facts, failures, iterations, and contributors. A view from the top of the Burj Khalifa, a fine wine at the top of the Eiffel Tower, and a beautiful sunset near the Golden Gate Bridge can make life memorable.

Various civilizations around the world have explored science in diverse ways, often preserving their knowledge in scripts rich with literature. My father, a history and English teacher, nurtured my understanding of great cultures such as the Egyptians and the Japanese. He has a keen interest in new gadgets and machines, with hovercrafts being his favorite. Inspired by his enthusiasm, I developed a curiosity for science myself. At 12, I ingeniously crafted a mini stick launcher using matchstick powder and a glass tube, repurposed from a part of a broken glass bulb. I diligently collected these bulbs, safely extracted the tubes, and fashioned them into stick launchers. However, my experimental journey ended abruptly after a minor accident halted my fun project.

Scenes behind Open-source projects: 

At the onset of my career, I often pondered why we couldn't build larger-scale projects. Initially, I didn't quite grasp what 'big' truly meant. In the realm of software, I observed numerous developers contributing to open-source projects, creating robust software that rivaled that of major corporations. Eventually, these large corporations started to engage with open-source communities, exemplified by Oracle's acquisition of Sun Microsystems and MySQL. During a conference in San Francisco, I had the opportunity to discuss with a prominent engineering leadership speaker the prospects of pursuing a career in open source. His response, deeply rooted in enterprise perspectives, was enlightening.

Open-source projects necessitate a strategic approach. Many of today's most successful projects, including OpenAI, Chromium, Android, Flutter, Node.js, and Python, Golang, Spring have their foundations in open source. However, their implementations often diverge from open-source principles. These projects have transformed into Software as a Service (SaaS) solutions, commercial tools, and data-centric platforms, underscoring data as the modern 'oil'. To achieve such magnitude, a three-step strategy is essential, one that secures a non-competitive stance and facilitates seamless expansion and research for providers. A notable instance of this is Chromium, an open-source project that has spawned several derivatives, including the Chrome browser, Edge browser, and Chrome OS, VSCode.

Navigating open source without a strategy can be challenging. The 2020-2030 decade is expected to witness a continuous influx of new products. Employing an open-source strategy can empower researchers to develop multi-solution applications. In this decade, a fusion of General Science and Software, offering practical solutions and addressing real-world problems, can place stakeholders in a strong position to navigate through uncertainty.   

[amelia84]

Why Golang for Mobile App Development?

Cross-Platform Development: Go is known for its simplicity and efficiency, and it allows for the Golang for mobile app development of cross-platform applications. With frameworks like Flutter, which uses Dart as its programming language, you can write code once and deploy it on both iOS and Android platforms.

Concurrent Programming: Golang is designed with concurrency in mind. Its goroutines and channels make it well-suited for handling concurrent tasks, which can be beneficial in scenarios where Golang for mobile apps development require efficient handling of multiple tasks simultaneously.

Performance: Golang is compiled to machine code, which contributes to its performance. This can be advantageous in mobile app development, especially for applications that demand high performance and responsiveness.

Scalability: Golang is known for its scalability, making it a suitable choice for apps that are expected to scale in terms of user base and features. Its design helps manage increased loads without sacrificing performance.

Strong Standard Library: Golang comes with a rich standard library that includes packages for handling tasks like networking, encryption, and data serialization. This can speed up development time and reduce the need for third-party libraries.

Community Support: While not as extensive as some other languages, Golang has a growing and supportive community. The community actively contributes to the language and provides various libraries and tools that can be useful in mobile app development.

Containerization and Microservices: Golang is often used in the backend development of microservices and for building containerized applications. If your mobile app architecture involves microservices or relies on containerization, Golang might be a good fit for certain backend components.

Simplicity and Readability: Golang is designed to be simple and readable. Its clean syntax and straightforward design make it easier for developers to understand and maintain code, which can be advantageous in Golang for mobile app development projects.

While Golang has its advantages, it's essential to consider the specific requirements of your mobile app project. Factors such as the need for native features, existing expertise in other languages, and the preferences of your development team should also be taken into account when your hire Golang developer choosing a programming language for Golang for mobile app development. you need to look out for new tools and frameworks that have emerged.

[mubuwayanad]

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[this-week-in-rust]

This Week in Rust 520

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Newsletters

This Month in Rust OSDev: October 2023

Project/Tooling Updates

rust-libp2p v0.53 has been released

Zellij 0.39.0 released

Officially Qualfied - Ferrocene

Rocket's 4th v0.5 Release Candidate

Observations/Thoughts

Writing Rust Bindings for My Python App

A four year plan for async Rust

Cursed Rust: Printing Things The Wrong Way

Rust for JavaScript Developers: An Overview of Testing

Why Golang instead of Rust to develop the Krater desktop app

Google Rewriting Android's Binder In Rust With Promising Results

Dump Rust Struct or Enum Memory Representation as Bytes

How Open Source Projects are Using Kani to Write Better Software in Rust

Creating High Performance Asynchronous Backends With Burn-Compute

Goodbye Python, Hello Rust: Building a RAG CLI Application with Orca

Variadic generics, again

Using Rust, Chrome and NixOS to Take Headless Screenshots for Social Sharing

sudo-rs' first security audit

Destructing trees safely and cheaply

Edge IoT with Rust on ESP: NTP

Rust Walkthroughs

Using Modern Linux Sockets

Miscellaneous

Migrating SecureDrop’s PGP backend from GnuPG to Sequoia

[video] 10x faster - taking charge of the compiler backend

[video] RISC-V Vector Extension in Rust

Embedding simple CSV file in Rust application

Crate of the Week

This week's crate is floem, a native Rust UI library with fine-grained reactivity.

Despite receiving no suggestions, llogiq is reasonably pleased with his choice.

Please submit your suggestions and votes for next week!

Call for Participation

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

Ockam - Make ockam identity delete (no args) interactive by asking the user to choose from a list of identity names to delete (tuify)

Ockam - Make ockam tcp-outlet delete (no args) interactive by asking the user to choose from a list of tcp-outlet aliases to delete (tuify)

Ockam - Make ockam project show (no args) interactive by asking the user to choose from a list of projects to show (tuify)

If you are a Rust project owner and are looking for contributors, please submit tasks here.

Updates from the Rust Project

366 pull requests were merged in the last week

dropck_outlives check whether generator witness needs_drop

account for ref and mut in the wrong place for pattern ident renaming

add a stable MIR visitor

add all RPITITs when augmenting param-env with GAT bounds in check_type_bounds

add diagnostic items for a few of core's builtin macros

add support for pre-unix-epoch file dates on Apple platforms

add the Span of the move keyword to the HIR

also consider TAIT to be uncomputable if the MIR body is tainted

avoid the path trimming ICE lint in error reporting

avoid unnecessary comparison in partition_equal

check binders with bound vars for global bounds that don't hold

consts: remove dead code around i1 constant values

coverage: replace impossible coverage::Error with assertions

derive TyEncodable/TyDecodable in rustc_type_ir

detect misparsed binop caused by missing semi

detect object safety errors when assoc type is missing

do not ICE on constant evaluation failure in GVN

do not assert in op_to_const

don't check for alias bounds in liveness when aliases have escaping bound vars

don't emit delayed good-path bugs on panic

don't pass -stdlib=libc++ when building C files on macOS

enable cross-crate-inlining when MIR inlining is enabled

enable parallel rustc front end in nightly builds

fallback for construct_generic_bound_failure

fix excessive initialization and reads beyond EOF in io::copy(_, Vec<u8>) specialization

fix incorrect trait bound restriction suggestion

fix order of implementations in the "implementations on foreign types" section

guarantee representation of None in NPO

guarantee that char has the same size and alignment as u32

hint optimizer about try-reserved capacity

inline and remove create_session

make sure that predicates with unmentioned bound vars are still considered global in the old solver

make the randomize feature of rustc_abi additive

match usize/isize exhaustively with half-open ranges

prepopulate opaque ty storage before using it

pretty print Fn traits in rustc_on_unimplemented

recover from missing param list in function definitions

refactor: move suggestion functions from demand to suggestions

remove obsolete support for linking unwinder on Android

remove support for alias -Z symbol-mangling-version

remove support for compiler plugins

replace switch to unreachable by assume statements

set max_atomic_width for riscv32*-esp-espidf to 32

turn const_caller_location from a query to a hook

use FxIndexSet in the symbol interner

use derivative for Clone/PartialOrd/Ord/Hash in rustc_type_ir

use global cache when computing proof trees

use the correct span when emitting the env! result

warn users who set non_exhaustive_omitted_patterns lint level on a match arm

when encountering unclosed delimiters during lexing, check for diff markers

enable src/math for all UEFI targets

intrinsics macro: fix non-weak aeabi generation

this enables math module for riscv32 targets

stabilize const_maybe_uninit_zeroed and const_mem_zeroed

stabilize file_set_times

fix switch_stdout_to on Windows7

add track_caller to transmute_copy

delegate <Box<E> as Error>::provide to <E as Error>::provide

support enum variants in offset_of!

feature gate enums in offset_of

override Waker::clone_from to avoid cloning Wakers unnecessarily

codegen_gcc: fix vector compilation error

cargo: feat(trim-paths): set env CARGO_TRIM_PATHS for build scripts

cargo toml: Pull out the schema

cargo: fix an unhelpful panic message

cargo: implement -Ztrim-paths (RFC #3127)

cargo: merge trim-paths from different profiles

rustdoc: accept less invalid Rust

rustfmt: fixes comma added to comment in where-clause

clippy: unused_enumerate_index: don't ICE on empty tuples

clippy: add unused_enumerate_index lint

clippy: fix dbg_macro semi span calculation

clippy: fix enum_variant_names depending lint depending on order

clippy: fix get_first false negative for VecDeque

clippy: new lint: unnecessary_fallible_conversions

rust-analyzer: add generate_mut_trait_impl assist

rust-analyzer: import trait with alias

rust-analyzer: skip checking token tree count for include! macro call

rust-analyzer: fix docs path for derive macros

rust-analyzer: vSCode metadata. category:formatters

Rust Compiler Performance Triage

A difficult week for triage, due to what appears to be system-level disruption to measurement apparatus, yielding transient noise (and potentially masking actual problems). The main non-noise performance change was huge regression to bitmaps introduced by PR 117131, and that already has a fix in-flight fix (PR #117542). The other thing worth noting is that the parallel rustc front-end has been enabled in the nighlty builds, which has introduced some overhead that was expected by wg-parallel-rustc.

Triage done by @pnkfelix. Revision range: 650991d6..7b97a5ca

10 Regressions, 4 Improvements, 3 Mixed; 3 of them in rollups 68 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

Add "crates.io Policy Update" RFC

Merge RFC 3498: "Lifetime Capture Rules 2024"

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

[disposition: merge] Add T: ?Sized to RwLockReadGuard and RwLockWriteGuard's Debug impls.

[disposition: merge] Tracking Issue for file_create_new

[disposition: merge] feat: implement DoubleEndedSearcher for CharArray[Ref]Searcher

[disposition: merge] TAIT defining scope options

[disposition: merge] Add std::hash::{DefaultHasher, RandomState} exports (needs FCP)

Language Reference

No Language Reference RFCs entered Final Comment Period this week.

Unsafe Code Guidelines

Decide on zero-sized offsets and memory accesses

New and Updated RFCs

Arbitrary self types v2.

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2023-11-08 - 2023-12-06 🦀

Virtual

2023-11-08 | Virtual(Boulder, CO, US) | Solid State Depot - The Boulder Makerspace

Placeholder: Boulder Rust Meetup

2023-11-09 | Virtual (Linz, AT) | Rust Linz

Rust Meetup Linz - 34rd Edition

2023-11-09 | Virtual (Nuremberg, DE) | Rust Nuremberg

Rust Nürnberg online

2023-11-10 | Virtual (Bangalore, IN) | Learn Everything About Programming

Getting started with rust-lang

2023-11-12 | Virtual (Tel Aviv-Yafo, IL) | Code Mavens

Rust in Israel - Rust Digger

2023-11-14 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2023-11-14 | Virtual (Kyiv, UA) | Yalantis Education

Довгий шлях до першого комерційного досвіду або до чого тут Rust?

2023-11-15 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

Building Our Own Locks (Atomics & Locks Chapter 9)

2023-11-15 | Virtual (Richmond, VA, US) | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

2023-11-15 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Nightly Night: impl Trait in Type Aliases

2023-11-16 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-11-16 | Virtual (Vilnius, LT) | Vilnius Rust and Go Meetup Group

Enjoy our first Rust event

2023-11-21 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn

2023-11-21 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2023-11-23 | Virtual (Edmonton, AB, CA) | Edmonton R User Group - Yegrug

Edmonton R User Group Meetup: R and Rust, like a match made in heaven

2023-11-28 | Virtual (Dallas, TX, US) | Dallas Rust

Last Tuesday

2023-11-29 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

Atomics & Locks Book Club Final Chapter! (Chapter 10)

2023-11-30 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-11-30 | Virtual (Dublin, IE) | Rust Dublin

Automating expertise with cargo-semver-checks

2023-12-01 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

Rust & C++ Christmas Game Jam Kick-Off!

2023-12-02 | Virtual (Kampala, UG) | Rust Circle Kampala

Rust Circle Meetup

2023-12-05 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn | Mirror

2023-12-05 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

Buffalo Rust User Group, First Tuesdays

Europe

2023-11-09 | Barcelona, ES | BcnRust

11th BcnRust Meetup

2023-11-09 | Paris, FR | Paris Rustaceans

Rust Meetup in Paris

2023-11-09 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup at Browns

2023-11-21 | Augsburg, DE | Rust - Modern Systems Programming in Leipzig

GPU processing in Rust

2023-11-23 | Biel/Bienne, CH | Rust Bern

Rust Talks Bern @ Biel: Embedded Edition

North America

2023-11-08 | Boulder, CO, US | Boulder Rust Meetup

Let's make a Discord bot!

2023-11-14 | New York, NY, US | Rust NYC

Rust NYC Monthly Mixer: Share, Show, & Tell! 🦀

2023-11-14 | Seattle, WA, US | Cap Hill Rust Coding/Hacking/Learning

Rusty Coding/Hacking/Learning Night

2023-11-15 | Richmond, VA, US + Virtual | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

2023-11-16 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2023-11-16 | Nashville, TN, US | Music City Rust Developers

Python loves Rust!

2023-11-16 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group Meetup

2023-11-21 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2023-11-22 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2023-11-28 | Pasadena, CA, US | Pasadena Thursday Go / Rust

Monthly Rust group

Oceania

2023-11-21 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust meetup meeting

2023-11-28 | Canberra, ACT, AU | Rust Canberra

November Meetup

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

For Binder to continue to meet Android's needs, we need better ways to manage (and reduce!) complexity without increasing the risk.

The biggest change is obviously the choice of programming language. We decided to use Rust because it directly addresses a number of the challenges within Binder that we have faced during the last years.

– Alice Ryhl on the Linux Kernel Mailing List

Thanks to Vincent de Phily for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

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Discuss on r/rust