TypeScript Just Overtook Python | The Developer Shift of 2025 For the first time ever, TypeScript has surpassed Python in GitHub repository activity, a moment that marks more than just a popularity contest. It’s a sign of how modern development is evolving: 💡 Developers are choosing typed safety over dynamic freedom. ⚙️ AI-assisted tools like Copilot thrive on predictable, type-aware code. 🌐 Enterprises are scaling large, complex projects and TypeScript’s reliability fits the bill. Python still reigns supreme in AI and data science, but when it comes to building the digital backbone of the web, TypeScript is becoming the new default. This isn’t the death of Python. It’s the rise of a new era of structured, AI-augmented development. What do you think? Are you sticking with Python’s flexibility or embracing TypeScript’s precision? #TypeScript #Python #GitHub #DeveloperTrends #AIinCoding #SoftwareDevelopment #BinateSolutions
TypeScript surpasses Python in GitHub activity, marking a shift in development.
More Relevant Posts
-
In an insightful interview with Idan Gazit, the leader of GitHub Next, we explore how TypeScript, Python, and the evolving AI feedback loop are reshaping the landscape of software development. What stood out to me was the potential these technologies have to streamline workflows and enhance collaboration in coding. How do you see these changes impacting your work or the industry as a whole?
To view or add a comment, sign in
-
Why is everyone suddenly obsessed with Python and TypeScript? 🔥 It's not just hype – these languages are driving MASSIVE developer product adoption! Think about it: Python's simplicity makes it perfect for everything from data science to scripting. TypeScript brings much-needed structure to JavaScript, making large projects manageable. When a language is easy to learn and use, more developers adopt it, and their tools flourish. The result? Libraries, frameworks, and tools built with Python and TypeScript gain instant traction. This creates a powerful network effect: more users, more contributors, and ultimately, better products. So, what language are you betting on to dominate the developer landscape next? 🤔 Let's discuss! —- Try out some of these AI concepts yourself! https://lnkd.in/gJJWVVBE #Python #TypeScript #DeveloperTools #Programming #TechTrends #SoftwareDevelopment #Coding
To view or add a comment, sign in
-
-
🚀 Piton v0.5.0: Modernizing the Bridge Between Elixir & Python I'm excited to announce a major upgrade to Piton, the open-source library that lets you run Python code from Elixir while bypassing the GIL! After months of work, v0.5.0 is here with a completely modernized stack. 🎉 🔧 The Modernization: We've brought Piton into 2025 with: ✅ Elixir 1.19 + OTP 27 support ✅ Python 3 only (Python 2 retired) ✅ Built-in JSON - removed Poison dependency ✅ GitHub Actions CI/CD - automated testing & publishing ✅ Latest dependencies - erlport 0.11, ex_doc 0.39 All 13 tests passing ✅ | Fully automated | Production ready 💡 Why This Matters: The real power isn't just the tech stack - it's what you can build with it. Real-world scenarios where Piton shines: 🔹 ML/AI in Phoenix Apps Run TensorFlow or PyTorch models directly from your LiveView without blocking the BEAM 🔹 Data Science Pipelines Leverage NumPy, Pandas, and SciPy while maintaining Elixir's fault-tolerance 🔹 Legacy Python Integration Migrate to Elixir gradually - wrap existing Python services without rewriting everything 🔹 Parallel Processing True parallelism - run multiple Python algorithms concurrently, bypassing the GIL using Erlang's process model 🔹 API Enrichment Call Python NLP libraries, image processing tools, or scientific computing packages from your Phoenix APIs 🎯 The Elixir + Python Sweet Spot: You get: •🏃♂️ Elixir's concurrency without the GIL limitation •🐍 Python's rich ecosystem (350K+ packages) •🛡️ Fault tolerance - Python crashes won't take down your app •⚡ Performance - modern OTP 27 optimizations •🤖 DevOps ready - full CI/CD automation Whether you're building ML-powered Phoenix apps, migrating Python workloads, or just want the best of both worlds - Piton v0.5.0 is ready. 📦 Get it: https://lnkd.in/ecarHYk 📚 Docs: https://hexdocs.pm/piton 💻 GitHub: https://lnkd.in/dkk9W8M #Elixir #Python #OpenSource #MachineLearning #AI #WebDevelopment #Phoenix #DataScience #SoftwareDevelopment #DevOps #ElixirLang #FunctionalProgramming
To view or add a comment, sign in
-
Are you a Pythonista looking for something completely different? If you've been looking for an opportunity to go beyond Python in your toolbox of programming languages, and have been curious about Rust, this is an opportunity you won't want to miss. In partnership with Bob Belderbos of Pybites fame, I've put together a coaching course that will provide just the right amount of guidance to introduce you to Rust. You'll be building a real JSON parser library in Rust, and I'll show you how to use it from a Python application to get an incredibly fast parser that you entirely wrote yourself. You'll get just enough foundational Rust to feel confident and to diminish the intimidation of learning this increasingly popular language. The cohort sign-up link is in Bob's message below. Come join me and expand your software career way beyond high-level Python application development into the bowels of a highly performant, strongly typed language.
Some Pythonistas 🐍 might not realize this: there is an increasing amount of Rust 🦀 in your stack. Tools like Pydantic, Ruff, and Polars are blazing fast thanks to Rust at their core (but also thanks to smart engineering: vectorization, caching, zero-copy I/O, and native parallelism). The next step is learning the language behind that power. Rust doesn’t just make your code faster. It makes you a better programmer. 💡 Our new Rust for Python Developers cohort starts in two weeks. It’s designed to bridge your Python skills to Rust’s safety, performance, and precision (Python-first; JS/TS and Ruby devs welcome too). 🚀 Learn to write the kind of code that Python tools are built on and return to Python with sharper instincts around mutability, types, and hidden footguns (this was revelatory for me). More info below. 👇 #rust #rustlang #python #pydantic
To view or add a comment, sign in
-
A significant milestone for the web: TypeScript has overtaken Python on GitHub. This signals a major shift toward typed systems, which are becoming essential as AI agents take on more coding tasks. The contracts and clarity they provide are the bedrock of AI-assisted development. #TypeScript #SoftwareDevelopment
To view or add a comment, sign in
-
"Typed languages reduce hallucination surface area..." TypeScript, Python, and the AI feedback loop changing software development - The GitHub Blog https://lnkd.in/gpz7PZ-y
To view or add a comment, sign in
-
LangChain in the wild — Python vs. TypeScript Over the past few weeks, I’ve been experimenting with both LangChain (Python) and LangChain.js (TypeScript) to see which direction developers should bet on for the long run. Here’s what stands out: - LangChain (Python) is miles ahead in ecosystem maturity — richer integrations, faster updates, and a huge community around RAG, vector stores, and agent frameworks. - LangChain.js feels leaner and more developer-friendly for web integrations, especially if you’re already deep in Node or React. But it still lags behind when you want to do serious AI orchestration or model evaluation. My takeaway: build with LangChain.js if you want fast web deployment, but learn the Python version if you want to go deep into GenAI systems. The future probably belongs to teams that can leverage both — Python for intelligence, TypeScript for delivery. #AI #LangChain #TechLeadership #DeveloperExperience
To view or add a comment, sign in
-
🚀 Starting Your Coding Journey? Begin with Python! If you’re just entering the tech world, Python is the perfect first step. Why? Because it’s: ✅ Simple & easy to read ✅ Beginner-friendly ✅ Super versatile (Web, Data, AI, Automation—you name it!) Here’s a roadmap to get started with Python 🐍👇 🔹 Step 1: Learn the Basics Variables & Data Types If/Else, Loops Functions 🔹 Step 2: Understand Data Structures Lists, Tuples, Dictionaries, Sets String Manipulation List Comprehensions 🔹 Step 3: Build Mini Projects Calculator App To-Do List Weather App (using APIs) 🔹 Step 4: Explore Real-World Applications Web Development (Flask/Django) Data Analysis (Pandas/Numpy) Automation (Selenium, Scripts) 🎯 Pro Tip: Don’t rush the process. Code daily. Break things. Learn by doing. 👉 Follow for more beginner-friendly tech content! #Python #CodingJourney #PythonForBeginners #LearnToCode #100DaysOfCode #ProgrammingTips
To view or add a comment, sign in
Explore related topics
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development