Numpy 代替案 & 競合他社
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
代替品と競合他社 numpy.org コンテンツ、トラフィック、構造に関して
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Matplotlib — Visualization with Python.
Code faster with Kite’s AI-powered autocomplete plugin for over 16 programming languages and 16 IDEs, featuring Multi-Line Completions. Works 100% locally.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Scipy Lecture Notes — Scipy lecture notes.
Home | Pythonic Perambulations.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!
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.
Do you want to learn Python from scratch to advanced, check out best way to learn python and machine learning from experts.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
ThisPointer – Programming Tutorials.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Making developers awesome at machine learning.
Analytics Vidhya - Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques.
Scikit-image: Image processing in Python — scikit-image.
Learn to Make Plots in Python and R
Learn Data Science with Python and R
R news and tutorials contributed by hundreds of R bloggers
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.
Your home for data science. A Medium publication sharing concepts, ideas and codes.
The official home of the Python Programming Language
Statology is a website that makes learning statistics easy by explaining concepts in simple, straightforward ways.
Learn to code in Python, C/C++, Java, and other popular programming languages with our easy to follow tutorials, examples, online compiler and references.
Python Examples – Learn Python Programming - Python Examples.
The Python Package Index (PyPI) is a repository of software for the Python programming language.
This Python Tutorial helps you learn Python programming from scratch. If you want to master Python fast, this tutorial is a good start.
Python Tutorials for Beginners and Experienced Programmers
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.
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
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).
Welcome to OpenCV-Python Tutorials’s documentation! — OpenCV-Python Tutorials beta documentation.
The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.
Bot Verification.
Helping developers, students, and researchers master Computer Vision, Deep Learning, and OpenCV.
Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
Home - DataScience Made Simple.
Ggplot2: Elegant Graphics for Data Analysis (3e).
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.
Personal website for Shane Lynn PhD, machine learning researcher and entrepreneur. Blog posts cover data science, analytics, Python, R, data visualisation & innovation.
