Python articles

Python is a high-level, general-purpose programming language that is widely used for web development, scientific computing, data analysis, artificial intelligence, and other tasks. Python is known for its simplicity, readability, and expressiveness, making it a popular choice for beginners and experienced developers alike. Python is an interpreted language, which means that the source code is compiled at runtime rather than ahead of time. This makes it easy to experiment with and test code, as well as to make changes to an application without needing to recompile the entire program. Python's standard library, which is included with the language, provides a wide range of functionality, including support for file I/O, regular expressions, network programming, and more. In addition to the standard library, there are also many third-party libraries and modules available, which can be easily installed and used to add additional functionality to a Python application.

Python also have a large and active community and it's supported by different platforms and operating systems, which makes it a versatile and flexible language. It's also widely used in various industries like finance, healthcare, education, and technology. Python's popularity has been growing in recent years, and it's often used in data science, machine learning, and web development. Some popular web frameworks like Django, Flask, Pyramid, and FastAPI are written in Python.

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FastAPI, HTMX, DaisyUI: Exploration

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DRF vs. FastAPI: An In-depth Analysis

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Python for Game Dev: Is It a Good or Bad Idea?

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How Do I Make an AI with Python in Eight Steps?

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Data Visualization with Streamlit, Dash, and Panel. Part 1

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How To Fuse FastAPI with Django in an Elegant Way

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HTMX, Tailwind CSS, and Django: From Basics to Advanced. Part 2

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Setting Up Your Django Environment: A Guide

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Unlocking Advanced Features in Django with HTMX

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From Our Blog to Your Screen: Top 10 Posts of 2023

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30 Built-In Python Modules You Should Be Using

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The Synergy of FFMpeg and Python - Insights from PyWaw #107

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