7 Tenets for Simpler Python Code

Python's relationship with functional programming has been… tenuous, at best. Consequently writing about applying functional ideas in the Python world is a bit scary for me. That said, this blog post arose out of real world experience so I'm hopeful that pragmatic footing will make the ideas useful in your coding.

Uploaded a small Python To-Do CLI project to GitHub today. A simple practice build to get better with Python basics, loops, conditions, lists, and logic building. Trying to stay consistent with small daily projects and learn by actually building. GitHub: [https://lnkd.in/gGscJtCP] #Python #GitHub #CodingJourney #PythonProjects #LearningInPublic

🔁 Python Revision – Loops Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ for loops ✔️ while loops ✔️ Nested loops ✔️ Loop control statements (break, continue, pass) Practiced writing programs using loops to handle repetitive tasks efficiently and explored nested loops for solving pattern-based and complex problems. Documented my practice in a colab Notebook and shared it as a PDF to track my progress. Understanding loops is helping me write more structured and efficient code 💡 #Python #Loops #Programming #Coding #LearningJourney #DataAnalytics

🐍📺 In this video course, you'll explore the steps to get help when stuck while coding. You'll investigate how to clean up your code to focus on the question you have. Along the way, you'll learn how to handle errors and use custom exceptions. #python

Back to Basics: Mastering the Building Blocks of Python! 🐍 Today, I spent some quality time diving deep into the core pillars of Python programming. Understanding how to structure code efficiently is just as important as knowing how to solve a problem. Here’s a quick breakdown of my key takeaways: Functions: The heart of clean, reusable code. It's all about the DRY (Don't Repeat Yourself) principle. Arguments & Parameters: Learning how to pass data into functions to make them dynamic and flexible. Return Values: Understanding how a function "outputs" results to be used elsewhere in the application. Scope (Global vs. Local): A crucial concept! Mastering where variables live and die to avoid bugs and memory leaks. Small steps every day lead to big results. Excited to implement these fundamentals more effectively in my upcoming FastAPI projects! 🚀 #Python #SoftwareDevelopment #CodingLife #ContinuousLearning #BackendDeveloper #TechCommunity #CleanCode #Programming

Claude code source leak -> rewrite it in python with codex -> 50k+ github stars That’s why we need experts in the loop. Agree?

How much Claude Opus 4.6 (1M) costs: After hitting the Max limit, it wrote 5,000 lines of Python code (data extraction pipeline), ran the code, tested it (text-only output as JSON), and fixed errors. It costs about $20. 😁 ($0.004 per line of Python code.)

🚀 Take your Python skills to the next level! In my latest blog, I break down decorators, generators, and context managers—three advanced concepts that make your code cleaner, faster, and more Pythonic. 👉 Read here: https://lnkd.in/dxHsgfR2 #Python #AdvancedPython #Programming

Learn how to harness the power of Python concurrency to write efficient and scalable code that can handle multiple tasks simultaneously with our comprehensive guide https://lnkd.in/gujPgh_3 #PythonConcurrency Read the full article https://lnkd.in/gujPgh_3

Learn how to harness the power of Python concurrency to write efficient and scalable code that can handle multiple tasks simultaneously with our comprehensive guide https://lnkd.in/gujPgh_3 #PythonConcurrency Read the full article https://lnkd.in/gujPgh_3