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Python articles
Authentication is a critical part of modern web applications and APIs, ensuring that only authorized users can access protected resources. One popular way to handle authentication in APIs is by using JSON Web Tokens (JWT). In this article, we’ll explore how to implement JWT-based authentication in a Flask application using
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Flask is a lightweight Python web framework that makes building web applications and APIs straightforward. To store and manage data effectively, most applications need a database. In this article, we’ll explore how to integrate Flask with a database using SQLAlchemy, a powerful Object-Relational Mapping (ORM) tool, and SQLite, a simple,
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Flask is a lightweight and flexible Python web framework, ideal for building web applications and APIs. While Flask’s simplicity makes it great for small projects, as your application grows, you need a structured approach to keep your code organized, maintainable, and scalable. In this article, we’ll explore how to set
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Flask is a powerful yet simple Python web framework that makes it easy to build web applications and APIs. One of its core features is routing, which allows you to map URLs to specific functions in your code, and its ability to handle requests and responses, which lets your application
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What is Flask? Flask is a lightweight and flexible web framework for Python, designed to make building web applications and APIs simple and intuitive. It’s often called a “micro-framework” because it keeps things minimal, giving developers the freedom to choose the tools and libraries they want to use. Unlike heavier
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Python is a fantastic language for beginners, but as you start working on projects that involve tasks like downloading files, querying databases, or handling multiple network requests, you might notice that your program can feel slow because it waits for one task to finish before starting the next. This is
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Python is a powerful, beginner-friendly language, but as you tackle more complex projects, you might notice that some tasks take too long or don’t use your computer’s full potential. For example, downloading multiple files, processing large datasets, or running multiple tasks at once can slow things down if done one
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Python’s standard library includes the logging module, which is essential for tracking what’s happening in your program. If you’re new to Python, you might be using print() for debugging, but logging is a much better way to record messages, monitor your program, and save information for later analysis. In this
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Python’s standard library includes the datetime module, a powerful tool for working with dates and times. If you’re new to Python, this module is essential for tasks like tracking when events happen, formatting dates for display, or calculating time intervals. In this guide, we’ll explore the datetime module in depth
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Python’s standard library is packed with tools that make programming easier, and one of the most useful is the os module. If you’re new to Python, the os module is your gateway to interacting with the operating system, whether you’re using Windows, macOS, or Linux. It lets you manage files,
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