FastAPI Crash Course: Build High-Performance APIs with Python

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

Hot take: Python is fast enough for most things. For the other things? 🦀 Rust. Just published a guide on using PyO3 v0.28 + maturin to drop Rust into your Python stack — the same approach Polars, Ruff, and Pydantic v2 use. One function. Native speed. Still pip install-able. 👉 https://lnkd.in/g794MZxa #Rust #Python #PyO3 #Engineering #Performance

Day 17 | Problem-Solving Practice Today I worked on: • Counting the number of digits in a number Implemented a basic approach and then handled edge cases like negative numbers and zero. Focusing on writing correct logic for all scenarios, not just the common ones. GitHub: https://lnkd.in/g35tV9Gj #ProblemSolving #Python #LearningInPublic #Consistency

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

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

Building the future of Python is a community effort! Nathan Goldbaum shares the story behind reaching 50% free-threaded wheel support across PyPI's most-downloaded packages. This milestone covers everything from low-level C extension porting to pure-Python test coverage, and it shows what's possible when a community moves together. Whether you're a maintainer, contributor, or curious developer, there's a role for you in the next 50%. See how you can help in our latest blog 🔗 https://lnkd.in/dnsfUvh2 #Python #FreethreadedPython #OpenSource #PyPI #Quansight #PythonCommunity

This challenge shows how list comprehensions can iterate through nested structures. The order of iteration matters here. Python processes the outer loop first and then the inner loop, flattening the structure step by step. This concept is widely used when working with matrices or nested lists. THE ANSWER IS: B #Python #NestedLoops #PythonChallenge #ProblemSolving #LearningInPublic

Python Tip of the Day 🐍 The for loop is the simplest and most Pythonic way to iterate over a sequence. Python’s for loop directly works with sequences like lists, tuples, strings, sets, dictionaries, and ranges — making code cleaner and easier to maintain. Day 23 of building Python fundamentals. #Python #PythonBasics #Coding #LearningPython #DataAnalytics

Stop repeating yourself—loop it. In Python, `for ... in` walks through each item in a list (great for processing data) and `range()` repeats an action a set number of times. This example sums a list, then prints a message three times—two common patterns you’ll use constantly.#Python #ForLoop #ProgrammingBasics #LearnToCode

Day 64 – Counting Lines in a File using Python: Day 64 focused on counting the number of lines in a file using Python. I practiced reading file contents, using readlines() to store lines in a list, and calculating the total using len(). This exercise strengthened my understanding of file reading techniques, list handling, and efficient resource management using both the traditional method and the with statement. GitHub Code: https://lnkd.in/g3nfR4_j #Day64 #100DaysOfCode #Python #FileHandling #LearningPython #CodingJourney #DailyCoding #Consistency