Posts
What follows is the full library of Pythonic blog posts listed newest to oldest… like every other blog posting.
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FastAPI is a modern, high-performance web framework for building APIs with Python. It is designed to be easy to use while offering powerful features that make development fast, efficient, and scalable. Built on top of Starlette for web handling and Pydantic for data validation, FastAPI is one of the fastest Python web frameworks available today.…
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Welcome to the first post in my FastAPI series! Over the next few articles, I’ll be diving into why FastAPI has become a go-to framework for modern API development, how to get started, and best practices for building secure and scalable applications. What is FastAPI? FastAPI is a high-performance Python web framework for building APIs,…
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Python is widely used for its simplicity and versatility, but one common challenge developers face is distributing Python applications as standalone executables. Unlike compiled languages like C or Go, Python requires an interpreter to run scripts. However, there are several tools available to package Python applications into standalone executables that can be run on Windows,…
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Introduction Python is one of the most popular programming languages in the world, praised for its simplicity, readability, and versatility. But behind every Python script executing on your machine, there’s an implementation of Python making it all work. The most widely used implementation is CPython. In this post, we’ll explore what CPython is, how it…
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Python is a dynamically typed language, allowing developers to write flexible and concise code. However, this flexibility comes at a cost: without explicit type declarations, debugging and maintaining large codebases can become challenging. Enter Python’s typing module—a powerful tool that brings optional static type hints to Python, improving code quality, maintainability, and developer productivity. Why…
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Python’s metaprogramming and reflection capabilities allow developers to write more flexible, dynamic, and reusable code. These techniques enable you to inspect objects, modify their structure at runtime, and even create new classes dynamically. If you’ve ever wondered how frameworks like Django, FastAPI, or Flask dynamically register routes and models, metaprogramming is a big part of…
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Introduction Python is known for its simplicity and readability, but under the hood, it has a sophisticated execution model that handles memory management, concurrency, and performance optimization. Understanding Python’s internals not only helps in writing more efficient code but also provides insights into why Python behaves the way it does—whether it’s the Global Interpreter Lock…
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Python has a set of special methods and attributes, often called dunder (double underscore) methods, that provide powerful capabilities for object-oriented programming. These methods define how objects behave with built-in operations like arithmetic, iteration, string conversion, and more. I wanted to write about this topic because when I first started coding in Python, these functions…
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Building a robust and configurable API requires a clean and maintainable settings management strategy. FastAPI, combined with Pydantic, provides a powerful way to manage application configurations, ensuring that settings are well-structured, validated, and easily accessible. In this post, we’ll explore how to integrate Pydantic settings into a FastAPI application using dependency injection. Why Use Pydantic…
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Managing application settings effectively is crucial for maintainability, security, and flexibility. In complex applications, configuration settings often span multiple layers, involve environment variables, and require dynamic validation. In this post, we’ll explore how Pydantic can be used to handle intricate application configurations, including hierarchical settings, conditional logic, and validation rules. Why Pydantic for Application Settings?…
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