Tag: Python
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Asynchronous Database Queries in FastAPI: Getting it Right
As your FastAPI applications grow in complexity, leveraging asynchronous programming becomes essential—especially when dealing with I/O-bound operations like database queries. Yet, many developers stumble into pitfalls when trying to "go async" in their data layer. In this article, I’ll explain how to run database queries asynchronously in FastAPI, walk through best practices, and show how…
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FastAPI Dependency Injection: Beyond The Basics
Dependency injection is one of FastAPI’s most powerful features, enabling clean, modular, and testable code. But beyond simple function-based dependencies, FastAPI offers several advanced patterns that can make your applications even more flexible. In this article, we’ll explore some lesser-known techniques you can use to level up your FastAPI dependency management. Recap: What is Dependency…
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Exploring Python’s `collections` Module: Data Structures Made Simple
When it comes to data structures, Python provides a lot more than just lists, dictionaries, and sets. Hidden in plain sight is the powerful collections module—a standard library gem that offers high-performance alternatives and useful utilities for common data structures. Whether you’re managing counters, queues, or complex mappings, collections can make your code more readable…
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Mastering FastAPI’s Response Models: Validation, Serialization, and Customization
One of FastAPI’s greatest strengths lies in its integration with Python type hints and Pydantic models. This lets you define input and output data structures—including validations and serialization—right at the endpoint level. In practical API development, mastering response models pays off both for self-documented code and robust, reliable interfaces. In this article, let’s dive deep…
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Using Background Tasks in FastAPI for Non-Blocking Operations
FastAPI makes it delightfully simple to build high-performance APIs, but one common need in modern web development is to handle background work — like sending emails, updating statistics, or triggering other time-consuming tasks — without making the user wait. In this article, I’ll walk you through FastAPI’s built-in support for background tasks, how to use…
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Introducing Custom Middleware in FastAPI: A Practical Walkthrough
If you’re building an API with FastAPI, eventually you’ll need to address aspects like logging, authentication, request throttling, or response manipulation—all of which often span multiple routes. Rather than cluttering your endpoints or dependencies, FastAPI middleware lets you inject logic that acts before and after every request. In this article, I’ll show you how to…
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Mastering Python’s `itertools`: Powerful Tools for Efficient Iteration
Python’s standard library is filled with gems, and the itertools module is one of the brightest. If you’ve ever faced a task involving complex iteration, combinatorial logic, or data stream manipulation, chances are itertools has a performant, elegant solution waiting for you. In this article, I’ll introduce you to this indispensable module with practical examples…
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Automate Your Workflow with Python’s `subprocess` Module
As Python programmers, we’re always looking for ways to seamlessly automate repetitive tasks and glue disparate tools together. The subprocess module is one of Python’s most powerful—but often underappreciated—tools for bridging the gap between your Python scripts and the rest of your system. In this article, I’ll walk you through using the subprocess module to…
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Boosting Productivity with Python’s ‘shutil’ Module: Effortless File Operations
When working with files and directories in Python, you may have welcomed the ease of using os and pathlib for basic file system manipulations. But what if you need to copy, move, or delete entire directories, or manage file archives with just a few lines of code? This is where Python’s shutil module shines. In…
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Effortless Timing in Python: Measuring Code Performance with the ‘timeit’ Module
As Python developers, we often find ourselves concerned with performance. Whether we’re optimizing a critical algorithm or simply curious about the speed differences between alternative implementations, having an accurate and reliable method to measure code execution time is essential. Enter the timeit module—a simple yet powerful tool in the Python Standard Library designed for precisely…