I recently discovered Ruff – the ultra-fast Python linter written in Rust – and I can’t stop smiling 😄 What used to take seconds, minutes (or even longer) with traditional linting tools (that also require manual fixes implementation) now happens almost instantly. My development workflow has never been smoother Python now even feels like writing Go – in every good sense of the word: - Strict, consistent code style - Fast feedback on every save - No more debates about formatting between flake8 and black. A single tool replacing all linters If you write Python and haven’t tried Ruff yet, do yourself a favor. It’s one of those rare tools that makes you enjoy coding even more #Python #Ruff #CodeStyle
Ruff Linter Speeds Up Python Development
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🧠 Python Concept: pass statement Do nothing… but intentionally 😎 ❌ Problem if True: # nothing here 👉 Error ❌ (Python expects something inside) ✅ Pythonic Way if True: pass 🧒 Simple Explanation Think of pass like a placeholder 🧩 ➡️ “I’ll add code later” ➡️ Keeps program running ➡️ Does nothing 💡 Why This Matters ✔ Avoid syntax errors ✔ Useful in empty blocks ✔ Helps in planning code ✔ Common in real projects ⚡ Bonus Examples 👉 In functions: def future_function(): pass 👉 In loops: for i in range(5): pass 🐍 Sometimes doing nothing is important 🐍 Write code step by step #Python #PythonTips #CleanCode #LearnPython #PassStatement #Programming #DeveloperLife #100DaysOfCode
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THE BEST WAY TO LEARN PYTHON ISN'T WATCHING VIDEOS. IT'S RUNNING THE CODE YOURSELF learn-python is a playground and cheatsheet in one repo every topic operators, data types, functions, classes, exceptions, file handling, standard libraries has real working scripts with code examples, inline comments, and assertions that show you the expected output right away you don't just read it. you run it, break it, change it, and test it https://lnkd.in/gZCT3EEK variables, loops, decorators, generators, lambda expressions, OOP all covered, all runnable
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At this point, Python is starting to feel less like a language… and more like a toolkit. Today’s Python MahaRevision 🧠 Chapter 13: Advanced Python (Part 2) This chapter introduced some really powerful and practical concepts: → Virtual environments → pip freeze (managing dependencies) → Lambda functions → bin() method → format() function → map, filter, reduce It’s interesting how these tools make code shorter, cleaner, and more efficient—once you understand how to use them properly. Practice set done: Worked on applying lambda functions, transforming data using map/filter, experimenting with reduce, and managing environments and dependencies. Some concepts felt a bit abstract at first (especially map/filter/reduce)… but with practice, they started making more sense. Biggest takeaway: Better tools don’t just make coding easier—they change how you think about solving problems. Still exploring, still improving. #Python #LearningInPublic #CodingJourney #Programming #AdvancedPython
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🚀 Super Sunday Project Series is Back! This Sunday, we are building something super practical and powerful 👇 🔥 Build a Smart Expense Tracker in Python | CRUD + Insights + Charts (Full Step-by-Step Project) This is not just another basic project… 👉 This Sunday, you will not only analyze (insight) your data, but you will also perform full CRUD operations (Create, Read, Update, Delete) like a real-world application 💯 💡 What you’ll learn in this project: • How to build a real-world Expense Tracker from scratch • Implementing CRUD operations using Python • Generating meaningful insights from your data • Visualizing data with charts 📊 • Structuring your project like a developer 🎯 Perfect for: Students, beginners, and anyone who wants to move from theory → real project building Stop just watching tutorials… https://lnkd.in/ge7g4ygV Start building something that actually matters 🚀 Don’t miss it! #Python #ProjectBasedLearning #Coding #100DaysOfCode #DataAnalysis #Programming #LearnToCode #Students #DeveloperJourney #StudyTrigger
Build a Smart Expense Tracker in Python 🔥 | CRUD + Insights + Charts (Full Step-by-Step Project)
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Most students/freshers learn concepts… but fail to apply them in real-world scenarios. That’s exactly why I like this Super Sunday Project Series — to bridge the gap between learning and building. This project is not about syntax… It’s about thinking like a developer.
🚀 Super Sunday Project Series is Back! This Sunday, we are building something super practical and powerful 👇 🔥 Build a Smart Expense Tracker in Python | CRUD + Insights + Charts (Full Step-by-Step Project) This is not just another basic project… 👉 This Sunday, you will not only analyze (insight) your data, but you will also perform full CRUD operations (Create, Read, Update, Delete) like a real-world application 💯 💡 What you’ll learn in this project: • How to build a real-world Expense Tracker from scratch • Implementing CRUD operations using Python • Generating meaningful insights from your data • Visualizing data with charts 📊 • Structuring your project like a developer 🎯 Perfect for: Students, beginners, and anyone who wants to move from theory → real project building Stop just watching tutorials… https://lnkd.in/ge7g4ygV Start building something that actually matters 🚀 Don’t miss it! #Python #ProjectBasedLearning #Coding #100DaysOfCode #DataAnalysis #Programming #LearnToCode #Students #DeveloperJourney #StudyTrigger
Build a Smart Expense Tracker in Python 🔥 | CRUD + Insights + Charts (Full Step-by-Step Project)
https://www.youtube.com/
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🎮 Let’s Play Rock–Paper–Scissors… but with Python! 🐍✊✋✌️ I recently built a simple Rock–Paper–Scissors game using Python, and it was a fun way to strengthen my fundamentals while creating something interactive. 💡 What I focused on: - Taking user input - Using conditional logic (if-else) - Generating random choices for the computer - Keeping the game loop running It might look simple, but projects like this really help in understanding how logic works in real programs. 🚀 This is just the beginning of my Python journey, and I’m excited to keep building more such projects! 👉 Try it out (mentally 😉): Rock, Paper, or Scissors… what’s your move? I’d love your feedback — how is it? And what should I build next? #Python #CodingJourney #BeginnerProjects #LearnToCode #Programming #100DaysOfCode
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Most beginners use for loops in Python… But very few actually understand what happens behind the scenes. Here’s a simple way to think about it 👇 👉 Iterable = a collection (like a list or string) 👉 Iterator = something that fetches items one by one 👉 Iteration = the process of going through items Think of it like a basket of potatoes 🧺 Basket = Iterable Person picking = Iterator Picking process = Iteration Once you understand this, Python becomes much more intuitive. I’ve explained this in a simple way with examples in my latest blog 👇 https://lnkd.in/dkYkw9Wk #Python #Programming #Beginners #Coding #LearnToCode
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Most developers fail this simple Python test. Can you guess the correct output before the video ends? It looks like a straightforward list comprehension. But Python handles closures a bit differently than you might expect: It uses "late-binding" for lambdas The functions don't evaluate the variable until they are called By then, the loop has already finished! This tiny detail causes massive debugging headaches in production. Did you originally guess [0, 1, 2] or [2, 2, 2]? Drop your very first guess in the comments below! 👇 #Python #Coding #SoftwareEngineering #Developer #Programming
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🚀 3 Python Tricks That Will Make Your Code 10x Cleaner Writing code is one thing, but writing clean, readable, and efficient Python code is what separates good developers from great ones. Here are three tricks I use to level up my Python projects: 1️⃣ List Comprehensions & Generators – Replace loops with concise expressions to save lines and memory. 2️⃣ F-Strings for Formatting – Clear, fast, and readable string formatting. 3️⃣ Use Enumerate Instead of Range – Cleaner iteration with index and value together. 💡 Pro Tip: Small changes like these drastically improve readability and maintainability of your projects. 📌 Comment below: Which Python trick is your favorite, or do you have one to add? #Python #CodingTips #CleanCode #DeveloperLife #Programming
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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
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