Why Python and TypeScript are driving developer adoption

TypeScript is now the most used language on GitHub in 2025 Yep, you read it right, TypeScript overtook both Python and JavaScript. Its rise illustrates how developers are shifting toward typed languages that make agent-assisted coding more reliable in production. It doesn’t hurt that nearly every major frontend framework now scaffolds with TypeScript by default. Even still, Python remains dominant for AI and data science workloads, while the JavaScript/TypeScript ecosystem still accounts for more overall activity than Python alone. #AI #TypeScript #Python

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

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

Execution Time – JavaScript generally runs faster because it’s compiled in the browser (via V8 engine), while Python is interpreted and slower for CPU-heavy tasks. Scalability – JavaScript is often more scalable for web-based, real-time applications due to Node.js’s event-driven architecture. Learning Curve – Python has a smoother learning curve; its syntax is simpler and more readable than JavaScript

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.

Python and API Design , Simplicity with Structure In backend systems, Python plays a central role in building scalable and maintainable APIs. Frameworks like FastAPI, Flask, and Django REST Framework simplify request handling, routing, and serialization. Modern API design in Python focuses on asynchronous execution, dependency management, and layered architecture, ensuring clean and efficient service communication. #SystemDesign #Python #API #FastAPI #Flask #DjangoREST #BackendDevelopment #SoftwareArchitecture #AsynchronousProgramming #DistributedSystems

Learn the Language Before the Framework I see this all the time. New developers jump straight into frameworks before understanding the language itself. They start React before learning JavaScript. They dive into Django before knowing Python. They chase tools, not understanding. And then, when something breaks, they’re stuck, because they don’t know why it’s breaking. Frameworks are built on top of languages. If you don’t understand the foundation, the framework becomes a black box. Here’s what I tell every beginner: Master the language first. Understand: • Data types & structures • Functions & scopes • Error handling • OOP & async concepts • How things actually run under the hood Once you do, frameworks will stop feeling “magical.” You’ll start reading them instead of just using them. Frameworks make you fast. Foundations make you unstoppable. Which came first for you, language or framework? Let’s hear your journey. #SoftwareEngineering #LearnToCode #DeveloperTips #Programming #BuildBetter #MichealCodes

🧩 Understanding Jinja2 — The Engine Behind Dynamic HTML Most beginners think Python frameworks like Flask or Django “serve HTML directly.” But in reality, Jinja2 is what transforms your Python data into real, dynamic web pages. Here’s what you’ll learn in this post 👇 🔹 What Jinja2 is and why we use it 🔹 Core syntax — variables, loops, and conditionals If you’re building your own WSGI app or learning how frameworks render templates, understanding Jinja2 will make everything click — it’s where backend logic meets frontend presentation. #Python #WebDevelopment #Backend #Flask #Django #Jinja2 #FullStack #LearningJourney #DeveloperJourney #Programming

From GitHub: In case you missed it: the 2025 Octoverse Report just dropped a historic update. For the first time ever, TypeScript is now the most-used language on GitHub, overtaking both Python and JavaScript in August 2025. The coolest part? This is the biggest language shift in over a decade, driven by type annotations and interfaces, AI-assisted development, and modern frameworks scaffolding in TypeScript by default.

🚀 Exploring FastAPI: Python’s Powerhouse for Web Development 🚀 Today, I dove into FastAPI, a Python framework built on Pydantic and Starlette, and here’s why it’s a game-changer: 🔹 Simplicity: FastAPI makes CRUD operations effortless. 🔹 Speed: Thanks to Starlette’s async foundation, FastAPI delivers lightning-fast performance—ideal for modern apps. 🔹 Auto-Docs: The built-in /docs route generates interactive Swagger UI. No manual documentation needed! 🔹 ML Integration: Easily integrated machine learning models, handling heavy computations smoothly with async capabilities. Why Use FastAPI? ✨ Beginner-friendly with clear documentation. ✨ Scales seamlessly from small projects to enterprise-level apps. ✨ Future-proof with asynchronous support for real-time applications. #Python #FastAPI #MachineLearning #Masaiverse #DailyLearning