Boost Python Code Quality with Pre-Commit Hooks

If you’re working with Python and want to master data validation, schemas, and FastAPI-ready models, this video is for you. Clear concepts. Practical examples. Zero confusion. Level up your backend skills with Pydantic Framework https://lnkd.in/gRGSqNmv #Python #Pydantic #FastAPI #BackendDevelopment #aiwiththiru

One of the trickiest Python bugs: mutable default arguments. If you define tags: list = [] on a NamedTuple, every instance ends up sharing the same list. With dataclass, this pattern is rejected. You must use field(default_factory=list), which creates a fresh list each time. My free interactive course lets you run both versions in your browser and compare the results yourself. 🚀 Try the course: https://bit.ly/4bdtQMg #Python #DataScience #InteractiveLearning #dataclass

Dictionaries are the first data structure most Python developers reach for. They're also the one that hides the most bugs. I built a free interactive course, Python Data Containers, that shows you exactly where dicts break and what to use instead. You'll work through NamedTuple, dataclass, and Pydantic side by side, running every example in the browser. By the end, you'll know which container to pick for your use case and why. 🚀 Try the course: https://bit.ly/4rCfJWy #Python #DataScience #InteractiveLearning #Pydantic #dataclass

Day 1/100 – #100DaysOfCode 🚀 Solved a classic array problem: "Two Sum" in Python. Learned how checking every pair of elements helps find the indices whose sum equals the target value. Approach: 1. Iterate through the array using two loops. 2. Check every possible pair of elements. 3. If their sum equals the target, return their indices. 4. If no pair is found, return an empty list. Time Complexity: O(n²) Space Complexity: O(1) Starting strong and building consistency 💪 #Python #DSA #ProblemSolving #CodingJourney

Want to check whether a #Python #Pandas string series only contains digits? Use str.isdigit: df['x'].str.isdigit() This returns a boolean series, with df's index. You can then convert the digit-containing strings to integers: df.loc[pd.col('x').str.isdigit(), 'x'].astype(int)

I just published a FastAPI Crash Course on my YouTube channel In this video, I covered how to build high-performance APIs quickly and efficiently using FastAPI - from basics to practical implementation. If you want to build modern backend applications with Python, this crash course will help you get started fast. https://lnkd.in/duXmCwtt #FastAPI #Python #BackendDevelopment #APIs #WebDevelopment

Using too much metaprogramming in a dynamically typed language like Python can confuse your IDE and your type checker. On the other side, typing everything by hand can create mistakes. One idea you can try is to write scripts that generate code. That way you won't have to type everything by hand, and still get the benefits of your type checker/IDE.

🚀 Day 2 of #100DaysOfCode Today I built a Tip Calculator using Python 🐍 🔹 The program: Takes the total bill amount Lets users choose a tip percentage (10%, 12%, 15%) Splits the bill among multiple people Calculates how much each person should pay 💡 Example: Bill: $150 Tip: 12% People: 5 ➡️ Each person pays: $33.60 🧠 What I learned: Taking user input in Python Type conversion (int, float) Basic calculations Formatting output using f-strings This project helped me understand how small programs can solve real-world problems. Looking forward to building more! 🔥 #Python #100DaysOfCode #CodingJourney #BeginnerProjects #LearnToCode

A #Python #Pandas column contains comma-separated values. How can you get the first of those? First, break each string into a list: df['x'].str.split(',') Then use .str[0] to grab the first element from the resulting list: df['x'].str.split(',').str[0]

1️⃣ Completed all Python Introduction challenges today 🎉 2️⃣ Reality check: these problems aren’t about syntax — they expose your thinking flaws 🧠 3️⃣ What tripped me up: • sloppy condition logic ⚠️ • careless output handling ❌ • code that looks right but fails tests 😶 4️⃣ What actually mattered: • clean logic > fancy code ✅ • discipline > speed 🚀 5️⃣ Biggest takeaway: Fixing mistakes taught me more than solving the problems 💡 6️⃣ This is just the base. The real grind starts now 🔥 #Python #CodingJourney #ProblemSolving #Discipline #Learning