Stop Validating Data Manually in Your API #programming #python #coding Learn how to use Path Parameters in FastAPI with automatic type validation. By adding a simple Python type hint (int) to your route function, FastAPI automatically creates a dynamic URL structure and validates incoming requests. If a client tries to access /users/abc, the server rejects it with a 422 error automatically, protecting your code from crashing without any manual if statements.
More Relevant Posts
-
Ricochet: hands-on learning repository for web application penetration testing using Python, focusing on HTTP libraries, enumeration techniques, and code-driven analysis: https://lnkd.in/enfXW3GQ
To view or add a comment, sign in
-
Python Calculator – 2nd Edition 🧮🐍 I built the second edition of my Python CLI calculator to improve structure, usability, and logic handling. What’s new in this version: 👉 Operator-based input (+ - * /) instead of numbered menus 👉Looping support to perform multiple calculations in one run 👉Cleaner code using functions 👉Better user interaction through the terminal This project helped me strengthen my understanding of: 👉Functions & return values 👉Loops and control flow 👉User input handling 👉Writing readable, structured Python code 🔗 GitHub repository: [link in comments] I’m continuing to build one Python project every week and improve step by step. #Python #Programming #LearningInPublic #BeginnerDeveloper #CLI #GitHub
To view or add a comment, sign in
-
-
📂 Build a File Size Organizer GUI in Python with Tkinter By Mate Technologies In this tutorial, we’ll build a Python application that: Lets users monitor folders. Categorizes files by size. Organizes files into folders automatically. Provides a live file preview with filtering and sorting. We’ll be using Tkinter, watchdog, threading, and tkinterdnd2 for drag-and-drop suppo... https://lnkd.in/eNCFcbN8
To view or add a comment, sign in
-
Installed the latest Python version today and learned more than I expected. What looked like a simple upgrade turned into a real debugging session: • Removed older versions installed via Scoop • Fixed PATH conflicts • Resolved broken pip launcher errors • Cleaned up legacy Python entries • Reconfigured environment variables properly At one point, python and py were pointing to different versions. Then pip started throwing launcher errors referencing an uninstalled Python312 path. Instead of reinstalling everything blindly, I traced it using: where python where pip python -m pip --version Step by step, I fixed the environment and finally got: Python 3.14.3 pip 26.0.1 Working cleanly and correctly. Small reminder: Being a developer is not just about writing code. It is about understanding how your tools actually work under the hood. Today was not about Python. It was about problem solving. #Python #DeveloperJourney #Debugging #Learning #Programming #ProgrammingTools
To view or add a comment, sign in
-
-
Pip was effective, but uv is 10–100 times faster, and I'm making the switch for good. For anyone who writes Python—even occasionally—this tool can save hours of your time. What is uv? It's a Python package manager built in Rust. In essence, it combines the functionalities of pip, venv, pyenv, and pip-tools into one command. Reasons to switch include: - Installs packages in seconds, not minutes - Eliminates the "forgot to activate the venv" issue - Manages Python versions, removing the need for pyenv - Ensures reproducible installs with lockfiles Before (using pip): python -m venv .venv → pip install requests After (using uv): uv add requests ✅ (that's all it takes) You can try it in just 10 seconds: curl -LsSf https://lnkd.in/gQx3Zj25 | sh Check out the full comparison in the infographic below. #Python #DevTools #uv #Programming #Productivity #SoftwareDevelopment
To view or add a comment, sign in
-
-
📘 Day 18 of my #90DaysPythonChallenge Focus: Python Foundations for Prompt Engineering Today, I worked on writing clean, modular Python code specifically for Prompt Engineering workflows. 🔹 Built reusable functions for prompt generation 🔹 Used *args and **kwargs for flexible inputs 🔹 Implemented basic decorators for logging and validation 🔹 Structured code into modules for scalability This practice helped me understand how real-world prompt pipelines are designed and maintained in production systems. 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #PromptEngineering #LearningInPublic #CodingJourney
To view or add a comment, sign in
-
🚀 Levelling up Python with match! One of the most exciting additions in Python 3.10 is the match statement — a cleaner, more powerful alternative to long if...elif...else chains. ✨ Why it matters: Simplifies code readability Supports complex patterns (tuples, types, conditions) Uses _ as a wildcard for default cases Brings Python closer to the elegance of switch-case constructs in other languages For anyone working on decision-heavy logic, this is a game-changer. Cleaner code → fewer bugs → faster collaboration. 💡 Curious: Have you started using match in your projects yet? How does it compare to your old conditional workflows? #Python #CodingTips #SoftwareDevelopment #Python310 #CleanCode
To view or add a comment, sign in
-
-
monty-near-cli: Python smart contracts on NEAR Compiles Python to a Monty bytecode VM (~800KB WASM). Top-level def becomes a method. Still very experimental. Feedback welcome. Built by community member Ricky. GitHub link: https://lnkd.in/eTN2REXm
To view or add a comment, sign in
-
-
Efficiency is not a choice; it is a necessity Many waste hours refactoring Python for loops. While they toil, the wise utilize Vectorized Universal Functions (ufuncs) to achieve results at a scale with near 0 draw backs. In data automation, as in statecraft, speed and precision are the only metrics that matter. If your processes are slow, you are vulnerable. If they are optimized, you are indispensable. #Python #NumPy #DataStrategy #StrategicAutomation
To view or add a comment, sign in
-
-
While working on one of my projects, I noticed that a widely used structural equation modeling package in Python has not been maintained for a while. Compatibility issues with the new versions of Python along with a few lingering bugs due to outdated formulas were making the package unusable. I have fixed these issues and updated the package to work with modern Python environments. Until the upstream package is updated, you can install the patched fork here: pip install git+https://lnkd.in/gu_EBt4m
To view or add a comment, sign in
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development