Logo

    3 High Paying Programming Languages Jobs On Developers’ Watchlists

    enJuly 18, 2024
    What can top-tier experts do to secure high-paying jobs?
    What is the median salary for the programming language Zig?
    Which companies are seeking Swift programmers?
    What are the limitations of the programming languages Zig and Finch?
    What recent update has been made to Swift since version 5?

    Podcast Summary

    • High-paying roles for programmers in AI eraTop-tier experts in programming can secure high-paying jobs by teaching AI in their field or creating datasets for training models. High-demand and well-paid programming languages include Zig, Erlang, F#, Ruby, and Closure, with median salaries ranging from $96,381 to $103,000.

      While the tech industry is focusing on AI retraining, it's not necessary for all programmers to abandon their expertise. According to Christian Rebernik, a co-founder of Tomorrow University of Applied Sciences, top-tier experts can secure high-paying jobs by teaching AI in their field or creating datasets for training models. Three such high-paying roles are DevOps Engineer at Accenture Federal Services, Principal DevOps Engineer at Autodesk, and Staff/Senior Staff DevOps Engineer at Site Tech, with salaries ranging from $76,000 to $228,800. Meanwhile, programmers can focus on learning the newest and well-paid programming languages. One such language is Zig, which is still relatively obscure but commands the highest median salaries in a Stack Overflow survey. With a median salary of $103,000, Zig is the only programming language to hit six figures in the survey. Other high-paying languages include Erlang, F#, Ruby, and Closure, with median salaries of $99,492, $99,492, $98,522, and $96,381, respectively. In summary, programmers don't need to throw away their expertise for AI, and they can secure high-paying jobs by deepening their knowledge and focusing on the newest and well-paid programming languages. Zig is one such language that offers high salaries, making it an attractive option for those looking to advance their careers in tech.

    • Unique languages, potential for higher salariesLess common languages like Zig and Finch have potential for higher salaries due to their unique features and growing demand. Zig offers performance gains and compatibility with C codebases, while Finch optimizes control flow for structured data.

      While Visual Basic, Net, MATLAB, PHP, and Dart have median salaries ranging from $55,862 to $65,000, less common languages like Zig and the new Finch offer potential for higher salaries due to their unique features and growing demand. Zig, an open-source language with a smaller community, is compatible with C codebases and offers performance gains, making it a solid choice for systems development, embedded systems, game design, and scripting. Finch, the latest language from MIT, focuses on optimizing control flow for structured data, providing time-saving automatic specialization and smooth control flow, particularly in image processing and scientific computing. However, both languages have limitations, with Zig's rarity requiring a willingness to troubleshoot and Finch's lack of extensive libraries making it unsuitable for large-scale projects. Swift, Apple's established language, is set to release its next iteration, Swift 6, offering potential improvements. Overall, the programming landscape continues to evolve, with unique languages and updates offering potential for higher salaries and increased efficiency.

    • Swift 6 updateSwift 6 marks a significant update since Swift 5, bringing new capabilities and challenges for developers, but high demand for Swift programmers in the tech industry

      Swift 6 is here, marking a significant update since Swift 5, which was released five years ago. Swift's safety, speed, approachability, and built-in C and C++ interoperability make it a strong contender to surpass C++. However, migrating projects to Swift 6 may be challenging for legacy codebases. Despite the challenges, there is high demand for Swift programmers in the tech industry, with companies like Accenture, Data annotation, and Netflix seeking iOS developers and senior mobile developers. To advance in a long, productive, and well-paid programming career, it's crucial to keep up with the times. If your current role doesn't allow for experimentation and upskilling, it might be time to explore new opportunities. For those looking to pivot to AI or utilize their coding expertise, the Hackernoon Job Board is a great resource. Swift's expansion on async, await, existential, and macros capabilities from Swift 5 is a major update, and while it may bring challenges, the demand for Swift programmers is clear.

    Recent Episodes from Programming Tech Brief By HackerNoon

    Java vs. Scala: Comparative Analysis for Backend Development in Fintech

    Java vs. Scala: Comparative Analysis for Backend Development in Fintech

    This story was originally published on HackerNoon at: https://hackernoon.com/java-vs-scala-comparative-analysis-for-backend-development-in-fintech.
    Choosing the right backend technology for fintech development involves a detailed look at Java and Scala.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #java, #javascript, #java-vs-scala, #scala, #backend-development-fintech, #should-i-choose-scala, #java-for-fintech-development, #scala-for-fintech-development, and more.

    This story was written by: @grigory. Learn more about this writer by checking @grigory's about page, and for more stories, please visit hackernoon.com.

    Choosing the right backend technology for fintech development involves a detailed look at Java and Scala.

    A Simplified Guide for the"Dockerazition" of Ruby and Rails With React Front-End App

    A Simplified Guide for the"Dockerazition" of Ruby and Rails With React Front-End App

    This story was originally published on HackerNoon at: https://hackernoon.com/a-simplified-guide-for-thedockerazition-of-ruby-and-rails-with-react-front-end-app.
    This is a brief description of how to set up docker for a rails application with a react front-end
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #software-development, #full-stack-development, #devops, #deployment, #dockerization, #rails-with-react, #hackernoon-top-story, #react-tutorial, and more.

    This story was written by: @forison. Learn more about this writer by checking @forison's about page, and for more stories, please visit hackernoon.com.

    Dockerization involves two key concepts: images and containers. Images serve as blueprints for containers, containing all the necessary information to create a container. A container is a runtime instance of an image, comprising the image itself, an execution environment, and runtime instructions. In this article, we will provide a hands-on guide to dockerizing your Rails and React applications in detail.

    Step-by-Step Guide to Publishing Your First Python Package on PyPI Using Poetry: Lessons Learned

    Step-by-Step Guide to Publishing Your First Python Package on PyPI Using Poetry: Lessons Learned

    This story was originally published on HackerNoon at: https://hackernoon.com/step-by-step-guide-to-publishing-your-first-python-package-on-pypi-using-poetry-lessons-learned.
    Learn to create, prepare, and publish a Python package to PyPI using Poetry. Follow our step-by-step guide to streamline your package development process.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #python-tutorials, #python-tips, #python-development, #python-programming, #python-packages, #package-management, #pypi, and more.

    This story was written by: @viachkon. Learn more about this writer by checking @viachkon's about page, and for more stories, please visit hackernoon.com.

    Poetry automates many tasks for you, including publishing packages. To publish a package, you need to follow several steps: create an account, prepare a project, and publish it to PyPI.

    Building a Level Viewer for The Legend Of Zelda - Twilight Princess

    Building a Level Viewer for The Legend Of Zelda - Twilight Princess

    This story was originally published on HackerNoon at: https://hackernoon.com/building-a-level-viewer-for-the-legend-of-zelda-twilight-princess.
    I programmed a web BMD viewer for Twilight Princess because I am fascinated by analyzing levels and immersing myself in the details of how they were made.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #reverse-engineering, #bmd, #game-development, #the-legend-of-zelda, #level-design, #web-bmd-viewer, #level-viewer-for-zelda-game, #hackernoon-top-story, and more.

    This story was written by: @hackerclz1yf3a00000356r1e6xb368. Learn more about this writer by checking @hackerclz1yf3a00000356r1e6xb368's about page, and for more stories, please visit hackernoon.com.

    I started programming a web BMD viewer for Twilight Princess (Nintendo GameCube) because I love this game and as a game producer, I am fascinated by analyzing levels and immersing myself in the details of how they were made.

    How to Simplify State Management With React.js Context API - A Tutorial

    How to Simplify State Management With React.js Context API - A Tutorial

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-simplify-state-management-with-reactjs-context-api-a-tutorial.
    Master state management in React using Context API. This guide provides practical examples and tips for avoiding prop drilling and enhancing app performance.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #reactjs, #context-api, #react-tutorial, #javascript-tutorial, #frontend, #state-management, #hackernoon-top-story, #prop-drilling, and more.

    This story was written by: @codebucks. Learn more about this writer by checking @codebucks's about page, and for more stories, please visit hackernoon.com.

    This blog offers a comprehensive guide on managing state in React using the Context API. It explains how to avoid prop drilling, enhance performance, and implement the Context API effectively. With practical examples and optimization tips, it's perfect for developers looking to streamline state management in their React applications.

    Augmented Linked Lists: An Essential Guide

    Augmented Linked Lists: An Essential Guide

    This story was originally published on HackerNoon at: https://hackernoon.com/augmented-linked-lists-an-essential-guide.
    While a linked list is primarily a write-only and sequence-scanning data structure, it can be optimized in different ways.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #data-structures, #linked-lists, #memory-management, #linked-lists-explained, #how-does-a-linked-list-work, #hackernoon-top-story, #eviction-keys, #linked-list-guide, and more.

    This story was written by: @amoshi. Learn more about this writer by checking @amoshi's about page, and for more stories, please visit hackernoon.com.

    While a linked list is primarily a write-only and sequence-scanning data structure, it can be optimized in different ways. Augmentation is an approach that remains effective in some cases and provides extra capabilities in others.

    How to Write Tests for Free

    How to Write Tests for Free

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-write-tests-for-free.
    This article describes deeper analysis on whether to write tests or not, brings pros and cons, and shows a technique that could save you a lot of time
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #testing, #should-i-write-tests, #how-to-write-tests, #increase-coverage, #test-driven-development, #why-tests-matter, #what-is-tdd, #are-tests-necessary, and more.

    This story was written by: @sergiykukunin. Learn more about this writer by checking @sergiykukunin's about page, and for more stories, please visit hackernoon.com.

    This article describes deeper analysis on whether to write tests or not, brings pros and cons, and shows a technique that could save you a lot of time and efforts on writing tests.

    Five Questions to Ask Yourself Before Creating a Web Project

    Five Questions to Ask Yourself Before Creating a Web Project

    This story was originally published on HackerNoon at: https://hackernoon.com/five-questions-to-ask-yourself-before-creating-a-web-project.
    Web projects can fail for many reasons. In this article I will share my experience that will help you solve some of them.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #web-development, #security, #programming, #secrets-stored-in-code, #library-licenses, #access-restriction, #closing-unused-ports, #hackernoon-top-story, and more.

    This story was written by: @shcherbanich. Learn more about this writer by checking @shcherbanich's about page, and for more stories, please visit hackernoon.com.

    Web projects can fail for many reasons. In this article I will share my experience that will help you solve some of them.

    Declarative Shadow DOM: The Magic Pill for Server-Side Rendering and Web Components

    Declarative Shadow DOM: The Magic Pill for Server-Side Rendering and Web Components

    This story was originally published on HackerNoon at: https://hackernoon.com/declarative-shadow-dom-the-magic-pill-for-server-side-rendering-and-web-components.
    Discover how to use Shadow DOM for server-side rendering to improve web performance and SEO.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #server-side-rendering, #shadow-dom, #web-components, #declarative-shadow-dom, #static-html, #web-component-styling, #web-performance-optimization, #imperative-api-shadow-dom, and more.

    This story was written by: @pradeepin2. Learn more about this writer by checking @pradeepin2's about page, and for more stories, please visit hackernoon.com.

    Shadow DOM is a web standard enabling encapsulation of DOM subtrees in web components. It allows developers to create isolated scopes for CSS and JavaScript within a document, preventing conflicts with other parts of the page. Shadow DOM's key feature is its "shadow root," serving as a boundary between the component's internal structure and the rest of the document.

    How to Scrape Data Off Wikipedia: Three Ways (No Code and Code)

    How to Scrape Data Off Wikipedia: Three Ways (No Code and Code)

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-scrape-data-off-wikipedia-three-ways-no-code-and-code.
    Get your hands on excellent manually annotated datasets with Google Sheets or Python
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #google-sheets, #data-analysis, #pandas, #data-scraping, #web-scraping, #wikipedia-data, #scraping-wikipedia-data, and more.

    This story was written by: @horosin. Learn more about this writer by checking @horosin's about page, and for more stories, please visit hackernoon.com.

    For a side project, I turned to Wikipedia tables as a data source. Despite their inconsistencies, they proved quite useful. I explored three methods for extracting this data: - Google Sheets: Easily scrape tables using the =importHTML function. - Pandas and Python: Use pd.read_html to load tables into dataframes. - Beautiful Soup and Python: Handle more complex scraping, such as extracting data from both tables and their preceding headings. These methods simplify data extraction, though some cleanup is needed due to inconsistencies in the tables. Overall, leveraging Wikipedia as a free and accessible resource made data collection surprisingly easy. With a little effort to clean and organize the data, it's possible to gain valuable insights for any project.