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This is a collection of Python scripts that are split by topics and contain code examples with explanations, different use cases and links to further readings.. Read this in: Português, Español, Traditional Chinese. It is a playground because you may change or add the code to see how it works and test it out using assertions. It also allows you to lint the code you've wrote and check if it ...
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To associate your repository with the learn-python topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
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Awesome-Python. Python is an easy to learn language many beginners to coding choose as their first programming language and it is not limited to web development, as you can build games and applications for academical research with it. If you are new to programming or simply interested in learning Python, here are some resources you can use.
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Py-Resources. A list of free resources to make learning Python easier. Lets make this the best collection of resources available on the internet for learning anything with Python. You can add Youtube Tutorial Links, Free Coursera/Udemy/Udacity course links, free ebooks (Please dont add any pdfs), Medium blog post links, etc.
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Python is a popular general-purpose programming language, with a lot of available materials covering lots of different topics. This list is focused on curating materials focused on learning the basics of the Python programming language (the standard library), as well as the tools available for numerical and scientific computing.
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This is a collection of Python scripts that are split by topics and contain code examples with explanations, different use cases and links to further readings.. Read this in: Português, Español, Traditional Chinese. It is a playground because you may change or add the code to see how it works and test it out using assertions. It also allows you to lint the code you've wrote and check if it ...
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Show 10 hidden projects... numpy (🥇51 · ⭐ 27K) - The fundamental package for scientific computing with Python. Unlicensed; Blaze (🥉31 · ⭐ 3.2K · 💀) - NumPy and Pandas interface to Big Data. BSD-3; Arctic (🥉29 · ⭐ 3K) - Arctic is a high performance datastore for numeric data. ️LGPL-2.1; sklearn-pandas (🥉28 · ⭐ 2.8K · 💀) - Pandas integration with sklearn.
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