Scipy Alternativen & Konkurrenten
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Alternativen & Konkurrenten zu scipy.org in Bezug auf Inhalt, Verkehr und Struktur
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
Matplotlib — Visualization with Python.
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Scipy Lecture Notes — Scipy lecture notes.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
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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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Your home for data science. A Medium publication sharing concepts, ideas and codes.
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.
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OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. It also supports model execution for Machine Learning (ML) and Artificial Intelligence (AI).
Statology is a website that makes learning statistics easy by explaining concepts in simple, straightforward ways.
Keras documentation
Adam Smith.
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
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Python Examples – Learn Python Programming - Python Examples.
The Python Package Index (PyPI) is a repository of software for the Python programming language.
Nkmk.me.
The official home of the Python Programming Language
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.
Ggplot2: Elegant Graphics for Data Analysis (3e).
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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.
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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.
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Personal website for Shane Lynn PhD, machine learning researcher and entrepreneur. Blog posts cover data science, analytics, Python, R, data visualisation & innovation.
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The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.