Scipy-lectures Альтернативы & Конкуренты
Scipy Lecture Notes — Scipy lecture notes.
Альтернативы и конкуренты scipy-lectures.org по содержанию, трафику и структуре
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Scikit-image: Image processing in Python — scikit-image.
Home | Pythonic Perambulations.
Matplotlib — Visualization with Python.
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
PyData |.
Welcome to OpenCV-Python Tutorials’s documentation! — OpenCV-Python Tutorials beta documentation.
Helping developers, students, and researchers master Computer Vision, Deep Learning, and OpenCV.
Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
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).
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
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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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TheAILearner | Mastering Artificial Intelligence.
Site not found · GitHub Pages.
Program Creek – More Pictures, Less Words.
Keras documentation
Making developers awesome at machine learning.
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Learn to Make Plots in Python and R
ThisPointer – Programming Tutorials.
Lots of programming, IoT and technology tutorials
Learn Data Science with Python and R
Do you want to learn Python from scratch to advanced, check out best way to learn python and machine learning from experts.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Analytics Vidhya - Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
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
Your home for data science. A Medium publication sharing concepts, ideas and codes.
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.
Java Tips, Articles And Tutorials about Java, J2EE, Struts, Spring, Hibernate, EJB, Webservice, Eclipse etc.
R news and tutorials contributed by hundreds of R bloggers
Espressif ESP32 Official Forum
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MECARUCO: mechanics & aruco — Scientific Python: a collection of science oriented python examples documentation.
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An open source machine learning framework that accelerates the path from research prototyping to production deployment.
The Python Package Index (PyPI) is a repository of software for the Python programming language.
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Everything ESP8266.
Espressif Systems (688018.SH) is a public multinational, fabless semiconductor company established in 2008, with offices in China, the Czech Republic, India, Singapore and Brazil. We have a passionate team of engineers and scientists from all over the world, focused on developing cutting-edge Wi-Fi-and-Bluetooth, low-power, AIoT solutions.
Random Nerd Tutorials helps makers, hobbyists and engineers build electronics projects. We make projects with: ESP32, ESP8266, Arduino, Raspberry Pi, Home Automation and Internet of Things. If you want to learn electronics and programming, you're in the right place.
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