Jakevdp Alternatives & Concurrents
Home | Pythonic Perambulations.
Alternatives et concurrents à jakevdp.github.io en termes de contenu, de trafic et de structure
Matplotlib — Visualization with Python.
PyData |.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
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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!
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Scipy Lecture Notes — Scipy lecture notes.
Learn to Make Plots in Python and R
Learn Data Science with Python and R
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
Analytics Vidhya - Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques.
Your home for data science. A Medium publication sharing concepts, ideas and codes.
R news and tutorials contributed by hundreds of R bloggers
ThisPointer – Programming Tutorials.
Do you want to learn Python from scratch to advanced, check out best way to learn python and machine learning from experts.
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
Python tutorials: Pandas, Statsmodels, Seaborn, Matplotlib. R tutorials: descriptive statistics, importing data, and many more.
Statology is a website that makes learning statistics easy by explaining concepts in simple, straightforward ways.
Scikit-image: Image processing in Python — scikit-image.
This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.
The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.
Ggplot2: Elegant Graphics for Data Analysis (3e).
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
Personal website for Shane Lynn PhD, machine learning researcher and entrepreneur. Blog posts cover data science, analytics, Python, R, data visualisation & innovation.
Chris Albon.
Home - DataScience Made Simple.
Making developers awesome at machine learning.
Home - Datanovia.
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Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Learn to code in Python, C/C++, Java, and other popular programming languages with our easy to follow tutorials, examples, online compiler and references.
The official home of the Python Programming Language
Quick-R: Home Page.
Tidyverse.
STHDA est dédié à l'analyse statistique des données en utilisant le langage R.
Easily search the documentation for every version of every R package on CRAN and Bioconductor.
Python Tutorials for Beginners and Experienced Programmers
R: The R Project for Statistical Computing.
The Python Package Index (PyPI) is a repository of software for the Python programming language.
Adam Smith.
Python Examples – Learn Python Programming - Python Examples.
Nkmk.me.
Python Pool is a platform where you can learn and become an expert in every aspect of Python programming language as well as in AI, ML and Data Science.
This Python Tutorial helps you learn Python programming from scratch. If you want to master Python fast, this tutorial is a good start.