![]() ![]() Fews python library code#This file usually includes the initialization code for the corresponding package. Just as you organize your computer files into folders and sub-folders, you can organize modules into packages and sub-packages.Įach package should contain a file named _init_.py. A Python package is a directory of a collection of modules. When you have many different modules, you'll definitely want to group and organize them. That's why programmers create and use modules, or sets of related code saved in separate files and aimed at solving specific tasks. What Is a Python Package?Ĭomplex tasks are better solved step by step, one subtask at a time. Think of any random task and there's a good chance that Python has a module or package that can make your work much more efficient. ![]() However, one of the key reasons to learn Python is the language's rich and varied ecosystem. Python has several key features that make it so popular: it is beginner-friendly, supports many career paths, and has a welcoming community. ![]() And Python isn't limited to data science and AI it's used in many industries, including blockchain, physics, astronomy, medicine, game development, and entertainment. It's preferred by top organizations, including Netflix, Uber, IBM, AstraZeneca, NASA, and the CIA. With the rise of data science and artificial intelligence, Python became one of the most popular programming languages. Let's review 2021's most popular Python packages for data analysts and developers. Python packages provide a beginner-friendly and efficient way to solve complex problems in scientific computing, data visualization, data modeling, and many other fields. ![]()
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