Pydata Alternatives & Concurrents
PyData |.
Alternatives et concurrents à pydata.org en termes de contenu, de trafic et de structure
Matplotlib — Visualization with Python.
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Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
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The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
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Do you want to learn Python from scratch to advanced, check out best way to learn python and machine learning from experts.
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Python tutorials: Pandas, Statsmodels, Seaborn, Matplotlib. R tutorials: descriptive statistics, importing data, and many more.
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Spark By Examples | Learn Spark Tutorial with Examples In this Apache Spark Tutorial, you will learn Spark with Scala code examples and every sample example explained here is available at Spark Examples Github Project for reference. All Spark examples provided in this Apache Spark Tutorials are basic, simple, easy to practice for beginners who
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Scipy Lecture Notes — Scipy lecture notes.
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Learn to Make Plots in Python and R
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The official home of the Python Programming Language
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Python Examples – Learn Python Programming - Python Examples.
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This Python Tutorial helps you learn Python programming from scratch. If you want to master Python fast, this tutorial is a good start.
The Python Package Index (PyPI) is a repository of software for the Python programming language.
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STHDA est dédié à l'analyse statistique des données en utilisant le langage R.
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R: The R Project for Statistical Computing.
Quick-R: Home Page.
ProgrammingR is your one-stop source for learning the R programming language, finding R jobs, hiring R programmers or R consultants, and getting R related help.
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Home - DataScience Made Simple.
Tidyverse.
Hundreds of statistics how to articles and step by step videos for elementary statistics and probability, plus AP and advanced statistics topics.
Scikit-image: Image processing in Python — scikit-image.
Over 1400 graphs with reproducible code divided in 8 big categories and over 50 chart types, in addition of tools to choose and create colors and color palettes