Curious about the latest trends in Open Source, GitHub, and AI? I recently had a great conversation with GitHub’s @alacolombiadev and @kedashakerr about this year’s Octoverse Report! We discussed how AI is shaping programming language preferences, the evolving approach to security in open source projects, and what these changes mean for developers. Tune in to hear our thoughts and takeaways!

Sometimes, I open my old repositories not to reuse code, but to see growth. The mistakes I used to make? The shortcuts I thought were clever? All lessons. Your old code is more than clutter, it’s a mirror of how far you’ve come. Don’t delete your history. Learn from it. Do you still revisit your early projects? #Python #AIEngineering #DataEngineering #JoshuaAdeyemo

What's the most groundbreaking development in the Python ecosystem over the last decade? 🤔 Dive into the transformative impact of Uv, a game-changer for Python enthusiasts and professionals alike! Key Insights: - Uv has revolutionized the way developers approach Python, offering unprecedented efficiency and capabilities. - It has set a new standard for scalability and performance, making Python more appealing for large-scale applications. Why does this matter to you? - In an era where performance and scalability are crucial, Uv positions Python as a formidable choice for tech stacks. - Embracing Uv could lead to significant productivity gains and innovation in your projects. Have you integrated Uv into your projects yet? How has it changed your development process? Share your experiences or thoughts in the comments below! 👇 Let's discuss how Uv can shape the future of Python. 🔗 Explore more about Uv: [Read the full article](https://lnkd.in/gp6eNRah) #Python #Innovation #TechTrends #Uv #SoftwareDevelopment

🧠 PYTHON TIPS for MONDAY #2 Big-O Notation Explained: How to Make Your Code Faster and Scalable Getting your code to work is step one. But making it scale — that’s where real skill begins. Big-O helps you understand how your code performs as data grows: O(1) → constant and fast O(n) → grows steadily O(n²) → slows down quickly O(log n) → divide and conquer Master Big-O, and you’ll write code that’s not just functional but really helful in your next coding sessiom Interest? Join our next Live Python Cohort starts Nov 4th, 2025! With 24 live lessons. Real projects. 1:1 guidance with python expert and resourceful community Only 20 seats available — save yours now! 👉 https://lnkd.in/eWikd_mP #Python #Zerotoknowing #Livepythoncohort #programming

I’ve recently started exploring Think Python: How to Think Like a Computer Scientist by Allen B. Downey, and it’s been a fantastic guide so far. The book focuses not just on coding, but on understanding how to think like a programmer — breaking problems into smaller parts, reasoning logically, and building step-by-step solutions. Link- https://lnkd.in/gQbjK55d

🧩  Post #3 | Phase 1 – Python in Action: Automating Everyday Business Workflows Last time, we explored Python’s building blocks — variables, loops, functions, and libraries. Now it’s time to see how these concepts come alive in real-world automation. Python isn’t just a language for coders — it’s a productivity multiplier for anyone working in a data-driven world. Let’s look at a few simple yet powerful examples, slides added below 👇

🚀 Day 113 of #150DaysOfCoding with #NxtWave 🚀 Today’s focus was on Functions in Python, a key concept for writing modular, reusable, and clean code 🧠✨ ✅ Tasks Completed (Functions – Coding Practice 21A): 🔹 Split the Sentence – Practiced using split() for string manipulation ✂️ 🔹 Join Words in Sentence – Learned how to use join() for clean string concatenation 🧩 🔹 Join Numbers – Combined logic and loops to join integers efficiently 🔢 💡 Key Takeaway: Functions make code cleaner, reusable, and easier to debug. They’re the foundation for building scalable programs! #Day113 #CodingChallenge #ccbp #NxtWave #Python #Functions #ProblemSolving #CodeEveryday #100DaysOfCode

🚀 Rust vs Python: Which One Truly Performs Best? Choosing the right programming language isn’t just about syntax; it’s about impact. Rust brings unmatched speed and reliability Python has rapid development and an ecosystem built for AI and data! Companies like Discord and Dropbox prove that strategic adoption of both can be a game-changer. Curious about real-world benchmarks, smart use cases, and which language will future-proof your next project? Our detailed breakdown goes beyond the obvious. 👉 Read the full analysis and decide for yourself: https://lnkd.in/gBuGeiJ6 #Programming #Rust #Python #TechInsights #SoftwareEngineering #ReadTheBlog

🚀 Rust vs Python — which one truly performs best? It’s not just about syntax it’s about impact. Rust delivers incredible speed and reliability, while Python shines with rapid development and a powerful AI/data ecosystem. I found this analysis from our team really insightful especially how companies like Discord and Dropbox use both languages strategically to balance performance and productivity. If you’ve ever debated which one to choose for your next project, this breakdown goes beyond the usual comparisons and digs into real-world benchmarks and smart use cases. #Programming #Rust #Python #TechInsights #SoftwareEngineering #WPWebInfotech

Learn with Kryzotech – Episode 4 In Python, a comment is a line of text that the computer ignores when running your code. It’s written only for humans — to explain what the code does, why it’s written that way, or to leave notes for later. Comments start with the # symbol, and everything after it on that line is skipped by Python. For example: # I love python This means Python won’t execute it; it’s just a message for the coder. Using comments makes your code cleaner, easier to understand, and helps when working with teammates or revisiting your own code later. 🐍💬 #LearnWithKryzotech #PythonComments #CodingMadeEasy #TechWithKryzotech #ProgrammingTips