Optimize Python Environments with uv, Polars, and Ruff

Python Dunder Methods: Making code more "Pythonic" 🐍 I’ve been playing around with operator overloading today! Instead of writing a bulky function like add_packages(pkg1, pkg2), Python allows us to use the __add__ magic method. By defining __add__, I can simply use the + operator to combine two package objects. Cleaner syntax? Check. More readable? Absolutely. I also added __str__ to ensure that when I print the result, I get a clear, formatted summary of the dimensions and weight rather than a messy memory address. #Python #CodingTips #SoftwareDevelopment #ObjectOrientedProgramming #CleanCode

🚨 This behavior of Python might look like a BUG… but it isn’t actually. a = 10 b = 10 print(id(a)) print(id(b)) 👉 Same memory location 😲 “Why do we have two variables pointing to the same memory location?!” Here comes the second one and things get interesting 👇 a = [1, 2, 3] b = a b.append(4) print(a) # [1, 2, 3, 4] 🔥 👉 Hmmm… why did ‘a’ change?! 💡 Explanation: ⭐ id() returns the identity of an object ⭐ Python reuses memory locations for immutable values ⭐ For mutable objects however, there is no copying, just pointers! ⚠️ The misconception: Most people believe ‘=’ copies objects in variables. 👉 Nope! ✅ Solution: b = a.copy() Now the two variables are separate ✅ 🔥 Consequence: It can seriously mess up your program’s logic! Ever got caught by such a ghost bug in Python? 👇 #CodeWithSujith #Python #Programming #Coding #PythonTricks #LearnPython #PythonBeginner #100DaysOfCode #DeveloperJourney

Most developers waste hours on bad code. All because they skip one simple thing. 🔥 How Python Functions Work 👇 Stage 1: Plan ──▶ Pick a task ──▶ Name your function Stage 2: Write ──▶ Use def keyword ──▶ Add your logic Stage 3: Input ──▶ Pass your values ──▶ Set parameters Stage 4: Run ──▶ Call the function ──▶ See the output Stage 5: Reuse ──▶ Call it again ──▶ Save more time Functions keep your code clean. They save time. They make fixing bugs easy. Write once. Use many times. That is the real power of Python. 💡 Have you written your first Python function yet? Drop a YES or NO below 👇 #Python #PythonBasics #LearnPython #CodingForBeginners

Most implementations of the State pattern in Python look very “clean”. Lots of small classes. A base interface. One class per state. But if you’ve ever worked with one in a real project, you know the downside: transitions are scattered, behaviour is hard to see in one place, and adding new states often means touching multiple files. In today’s video, I rebuild the State pattern in a very different way. Instead of relying on inheritance, I make the state machine explicit as data and use decorators to define transitions. The result is a small, reusable engine where the entire flow becomes visible at a glance. If you’re interested in writing Python that’s easier to reason about and extend, this is a pattern worth understanding. 👉 Watch here: https://lnkd.in/eg22yEHR. #python #softwaredesign #designpatterns #statemachine #cleancode

Most implementations of the State pattern in Python look very “clean”. Lots of small classes. A base interface. One class per state. But if you’ve ever worked with one in a real project, you know the downside: transitions are scattered, behaviour is hard to see in one place, and adding new states often means touching multiple files. In today’s video, I rebuild the State pattern in a very different way. Instead of relying on inheritance, I make the state machine explicit as data and use decorators to define transitions. The result is a small, reusable engine where the entire flow becomes visible at a glance. If you’re interested in writing Python that’s easier to reason about and extend, this is a pattern worth understanding. 👉 Watch here: https://lnkd.in/e9Y3xGNF. #python #softwaredesign #designpatterns #statemachine #cleancode

🚀 Today I practiced Python by building a mini project Created a Number Guessing Game 🎯 What I worked on: • Variables & data types • Loops (while) • Conditional statements (if/elif/else) • Attempt tracking logic What I learned: Building something small helped me understand how logic and flow actually work, instead of just watching tutorials. Challenges I faced: • Managing loop conditions • Tracking attempts correctly Sharing a snippet of my code below 👇 Next: → Building a CLI To-Do List → Improving input validation Staying consistent and learning step by step. #Python #LearningInPublic #CodingJourney #BeginnerDeveloper

Day 4 done Today was less about “big problems” and more about practical coding: File line counting from a text file Word frequency counting with text cleaning Just Python basics that actually matter in real projects: file I/O, regex splitting, whitespace cleanup, punctuation handling, and case normalization. What I liked most today: small logic details made a big difference. A tiny cleanup step can completely change output quality. Code for Day 4: https://lnkd.in/gh-KJzG5 #Python #SoftwareEngineering #DeveloperJourney #Day4 #ProblemSolving

Type check your Python codebase 15x faster with Pyrefly ⚡ Tools like MyPy and Pyright process files sequentially, so larger codebases lead to longer wait times. Pyrefly, Meta's Rust-based type checker, runs checks in parallel, keeping performance nearly constant as your codebase grows. Key features: • Re-checks only changed modules for faster incremental runs • Automatically infers types for variables and return values On the PyTorch codebase, Pyrefly completes a full check in 2.4 seconds, about 15x faster than Pyright and 20x faster than MyPy. --- 📬 I share 2 practical tips on practical tools for data and AI twice a week on Substack. Subscribe here: https://bit.ly/46fdOPl #Python #TypeChecking #Rust

You inherit a base class with twelve methods. Your subclass needs three. You implement the other nine as raise NotImplementedError and call it a day. That's the smell ISP is trying to prevent. Interface Segregation says clients shouldn't depend on methods they don't use. A fat interface forces every implementer to carry weight that doesn't belong to them, and every caller to reason about behavior that isn't relevant. ⚖️ In my latest article I break down what small interfaces look like in Python: Protocols, ABCs, and the practical line between "split this" and "you're over-engineering." 🧩 https://lnkd.in/eKw68T9S What's the worst case of NotImplementedError you've had to live with? 👀 #Python #SoftwareEngineering #SOLID #DataScience #CleanCode

Newsflash: Python is the new Excel. Don't be the only one stuck with 1,048,576 rows. So to avoid this fate, here's a 7-day crash course to help you finally quit the green icon: https://lnkd.in/d7neSJXZ