Boost FastAPI with Claude Code: CLAUDE.md Setup and Best Practices

𝗧𝗵𝗶𝘀 𝗜𝘀 𝗔 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹 You want to build fast and efficient APIs with Python. FastAPI is a great choice. It uses the latest Python features to deliver outstanding performance. FastAPI is a modern web framework for building APIs with Python 3.7+. It helps you create RESTful APIs that are fast and easy to code. You get automatic interactive API documentation generation. Here are some key features: - High performance - Easy to use - Automatic interactive API documentation - Support for asynchronous programming To get started with FastAPI, you need: - Python

Understanding High Order Functions in Python High Order Functions are a powerful concept in Python that allow you to write more flexible, reusable, and clean code. These are functions that either take other functions as arguments or return functions as their result. In the image, we explore: 🔹 What high order functions are 🔹 How they work with a simple example (apply_twice) 🔹 Real-world usage like map(), filter(), and decorators 🔹 Key benefits such as code reusability and abstraction By using high order functions, developers can simplify complex logic and make their programs more modular and efficient

If you use VSCode for Python development, your editor may be acting wonky lately. Check to see if Microsoft auto-installed a "Python Environments" extension, and uninstall it. It's utter pre-alpha vibe-coded garbage that was auto-pushed to all of us!

.NET CORE is secure, established and stable, runs on anything and is perfect for API's and Services. Here is the proof. Python VS .NET CORE : ..NET is Faster Than Python—and Better Overall! - YouTube https://lnkd.in/e-Y2XJvn

There is much talk about coding agents leveraging #CLI tools -- even in favor of #MCP. But it needs to be spelled out: The most powerful CLI tool to give an LLM is… …not necessarily any of the vendor-supplied cli tools. But: python.exe / #python Once your coding agent has figured out that there is an **interpreter** it will happily generate one-off scripts. Caveats about isolation and permissions apply, as usual. But: Wow, does Sonnet do powerful things!

I replaced my usual setup (pip + virtualenv + pip-tools) with uv — and the difference was honestly surprising. ⚡ Faster installs ⚡ Simpler workflow ⚡ One tool instead of three I wrote a quick blog breaking it down: What uv actually does How it compares to pip Whether it’s worth switching If you're working with Python, this might save you a lot of time 👇 https://lnkd.in/d9Y4mcUP

🐍📺In this step-by-step Python video course, you'll learn to take your command line Python scripts to the next level by adding a convenient command line interface that you can write with argparse #python

The Model Context Protocol, or MCP, has changed how LLMs connect with data and tools. It can expose data as resources, provide actions through tools, and define prompts that guide how the model interacts with data or users. In this guide, Manish teaches you how to build your own MCP server using the FastMCP Python framework. https://lnkd.in/gCwmUgr5

Every Python developer’s “small victory” moment: “Wow… a different error message. Finally, some progress!” 🐍 Coding Python isn’t always clean tutorials and scripts. Most of the time it looks more like this: • Fix one bug → unlock three new ones • A missing comma ruins your entire program • You stare at the screen for 30 minutes… just to realize it's an error • And somehow the code works… but you don’t know why 😅 The difference between people who quit and people who become great developers is simple: They stop debugging alone. 🖇️ https://lnkd.in/dpHv3i4p #Zerotoknowing #Python #coding

🚀 Just Built My First API Integration Project in Python! Today I worked on integrating a live Quotes API using Python and the requests library. GITHUB Repo Link:- https://lnkd.in/gdx-b94v The project fetches random motivational quotes from an online API and displays them in real-time. 💡 Key learnings from this project: How to work with APIs and endpoints Handling JSON responses in Python Using response.raise_for_status() for error handling Writing clean exception handling with try-except Saving API data into a file with timestamps 📌 Built Features: Fetch random quotes from API Display quote & author in terminal Save quotes in a text file for future use This small project helped me understand how real-world applications communicate with external services. Next step: Building a GUI-based Quote Generator App 🚀 #Python #APIs #BeginnerProjects #CodingJourney #100DaysOfCode #Developers #LearningByDoing