Building Your First REST API with FastAPI: A Step-by-Step Guide

Building Your First REST API with FastAPI: A Step-by-Step Guide FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. It’s incredibly easy to learn and use, and boasts automatic interactive API documentation (Swagger UI) and data validation. This guide will walk you through building a simple REST API with FastAPI, demonstrating its key features. What We’ll Build We’ll create a simple API that manages a list of “items.” It will have endpoints for: ...

October 27, 2023

Why FastAPI is My Go-To Framework for Backend Development

Why FastAPI is My Go-To Framework for Backend Development Python offers a rich ecosystem of web frameworks, making it a popular choice for backend development. While frameworks like Flask and Django have been staples for years, FastAPI has emerged as a strong contender, and in many cases, my preferred choice. This post explores why I find FastAPI so compelling, comparing it with Flask and Django, highlighting its performance advantages, and discussing its excellent support for asynchronous programming. ...

October 27, 2023

MongoDB Atlas for Python Developers: Best Practices from My Certification Journey

As a Python developer pursuing MongoDB certification, I discovered Atlas - MongoDB’s cloud database service - to be both powerful and surprisingly approachable. Here’s my distilled wisdom for fellow developers navigating this terrain. Navigating the Atlas UI: A Developer’s Compass Cluster Setup Essentials 1. Free Tier Configuration: - Choose M0 Sandbox for personal projects - Enable “Backup” only if needed (preserves free tier storage) - Pro Tip: Use “AWS Frankfurt” (eu-central-1) for better European performance ...

August 25, 2023

Understanding Python Data Types: Lists, Tuples, and Dictionaries

1. Lists: The Mutable Workhorse Practical Example: Shopping Cart # Create shopping cart shopping_cart = ["apples", "milk", "bread"] # Modify cart shopping_cart.append("eggs") shopping_cart.remove("milk") shopping_cart[1] = "whole wheat bread" When to Use: Dynamic data, frequent modifications, ordered collections 2. Tuples: The Immutable Container Practical Example: GPS Coordinates # Store location coordinates office_location = (40.7128, -74.0060) # Access values latitude = office_location[0] longitude = office_location[1] When to Use: Fixed data, dictionary keys, memory efficiency 3. Dictionaries: Key-Value Storage Practical Example: User Profile ...

May 15, 2023