Coursera Alternatives & Concurrents
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Alternatives et concurrents à coursera.org en termes de contenu, de trafic et de structure
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Your home for data science. A Medium publication sharing concepts, ideas and codes.
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A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
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Class Central aggregates courses from many providers to help you find the best courses on almost any subject, wherever they exist.
Class Central aggregates courses from many providers to help you find the best courses on almost any subject, wherever they exist.
Stack Overflow is the largest, most trusted online community for developers to learn, share their programming knowledge, and build their careers.
W3Schools Online Web Tutorials.
Medium is an open platform where readers find dynamic thinking, and where expert and undiscovered voices can share their writing on any topic.
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Tutorials, Free Online Tutorials, Javatpoint provides tutorials and interview questions of all technology like java tutorial, android, java frameworks, javascript, ajax, core java, sql, python, php, c language etc. for beginners and professionals.
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A complete list of MOOCs and free online courses. | MOOC List.
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Daily articles about CSS, HTML, JavaScript, and all things related to web design and development.
We make Stack Overflow and 170+ other community-powered Q&A sites.
Mozilla is the not-for-profit behind the lightning fast Firefox browser. We put people over profit to give everyone more power online.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Keras documentation
Matplotlib — Visualization with Python.
Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.
The Python Package Index (PyPI) is a repository of software for the Python programming language.
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The official home of the Python Programming Language
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Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
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