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SciPy.org | Scientific Computing with Python

Official website for SciPy, an open-source Python library used for scientific and technical computing. Find documentation, tutorials, and community resources.

ℹ️ SciPy.org is the main portal for the SciPy library, a fundamental package for scientific and technical computing in Python. It offers comprehensive documentation, tutorials, and community support for users involved in data analysis, mathematical computations, and scientific research.

Categories: Software/Hardware, Information Technology
Topics: data analysis, numerical methods, numpy, numpy array, numpy random, numpy reshape, open-source, scientific computing, scientific library, scipy
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NumPy (Numerical Python) — Official Website
NumPy is the fundamental package for scientific computing in Python. It provides support for large multi-dimensional arrays and matrices, along with a wide collection of mathematical functions.

ℹ️ NumPy is an open-source library used in Python programming for numerical and scientific computing. It provides powerful data structures like multi-dimensional arrays and matrices, along with numerous mathematical functions, making it essential for data analysis, machine learning, and computational mathematics.

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Jake Vanderplas' Official Website
Explore the personal and professional projects of Jake Vanderplas, a data scientist and Python developer specializing in scientific computing, data visualization, and machine learning.

ℹ️ Jake Vanderplas' website showcases his work in data science, Python programming, and scientific computing, including tutorials, research papers, and open-source projects aimed at advancing data analysis and visualization techniques.

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Matplotlib — Visualization with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Learn how to plot data, customize plots, and generate publication-quality graphics.

ℹ️ Matplotlib is a widely-used open-source plotting library for Python, offering extensive tools to create a variety of static, animated, and interactive visualizations. It supports numerous plot types and customization options, making it a fundamental tool for data analysis and scientific research.

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PyData | Empowering Data Professionals with Open-Source Tools
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ℹ️ PyData.org is a platform dedicated to supporting data professionals through community-driven conferences, workshops, and resources focused on Python and open-source data science tools.

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SciPy Lectures - Scientific Computing with Python
Comprehensive tutorials and resources on scientific computing with Python, covering NumPy, SciPy, Matplotlib, and more for researchers and data scientists.

ℹ️ SciPy Lectures is an open-access educational website providing tutorials and documentation on scientific computing using Python. It covers various topics such as numerical analysis, data visualization, and data processing, aimed at researchers and students seeking to enhance their Python programming skills for scientific applications.

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scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation
scikit-learn is an open-source Python library offering simple and efficient tools for data mining, machine learning, and data analysis. Explore comprehensive documentation, tutorials, and examples on the official website.

ℹ️ scikit-learn.org is the official website for scikit-learn, a widely used Python library that provides accessible and efficient tools for machine learning and data analysis. It features extensive documentation, user guides, tutorials, and an active community for developers and data scientists.

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Machine Learning Mastery - Learn, Practice, and Build Machine Learning Models
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Machine Learning Plus | Learn everything about Python, R, Data Science and AI
Explore comprehensive tutorials, guides, and resources on machine learning, data science, Python programming, and data analysis at Machine Learning Plus.

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DataCamp - Learn Data Science and Analytics Online
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OpenEpi - Free and Open Source Epidata Analysis Tools
OpenEpi offers free, open-source tools for epidemiological data analysis, enabling researchers and public health professionals to perform statistical computations and health data assessments easily.

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Institute for Computing in Research – exploring the use of advanced computing in research and scholarship
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Kepler Project - Scientific Data Management and Analysis Tools
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HyperSpy: multi-dimensional data analysis toolbox — HyperSpy
Landing page of the HyperSpy project with information on the main features and characteristics, related projects extending the functionality, latest news and possibilities to get support and learn about the project. HyperSpy is an open-source python project to ease analysis and visualization of multi-dimensional datasets

ℹ️ Hyperspy is an open-source Python library designed for the analysis of multi-dimensional datasets, primarily in electron microscopy and spectroscopy. It provides users with advanced functionalities for data processing, visualization, and interpretation, facilitating scientific research across various fields.

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Scientific Computing World | For scientists, researchers and engineers who use computing in their work.
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ℹ️ scientific-computing.com is a comprehensive platform dedicated to providing resources, tutorials, and insights into scientific computing. It caters to researchers, scientists, and engineers seeking advanced computational solutions, data analysis techniques, and simulation tools to support their scientific endeavors.

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Spyder-MITO: Advanced Software Solutions for Data Analysis and Visualization
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Ona - Data Collection and Analysis Platform
Ona provides powerful tools for data collection, analysis, and visualization to support research, monitoring, and evaluation efforts worldwide.

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📘Non-profit organisation fighting extreme poverty and preventable disease. ONE Campaign (styled ONE) is an international, non-partisan, non-profit advocacy and campaigning organization that fights extreme poverty and preventable disease, particularly in Africa, by raising public awareness and pressuring political leaders to support policies and programs that save lives and improve futures.ONE was founded in 2004 by Bobby Shriver and Bono along with a coalition of 11 non-profit humanitarian and advocacy organizations; including DATA, Care, World Vision, Oxfam America, and Bread for the World. Funding was provided by the Bill & Melinda Gates Foundation.

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Scientific Software Group | Innovative Solutions for Research & Development
Discover advanced scientific software solutions at Scientific Software Group. Empower your research with our innovative tools designed for accuracy, efficiency, and collaboration.

ℹ️ Scientific Software Group specializes in developing cutting-edge software solutions tailored for research and development environments. Our products enhance data analysis, simulation, and scientific collaboration, supporting scientists and engineers worldwide.

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Daoqi Yang's Website
Daoqi Yang's books: Java Persistence with JPA (Outskirts Press, Colorado, 2010), C++ and Object Oriented Numeric Computing for Scientists and Engineers (Springer-Verlag, New York, 2001, ISBN: 0-387-98990-0, 450 pages)

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SageMath - Open-Source Mathematical Software System
SageMath is a free open-source mathematics software system that offers a comprehensive environment for algebra, calculus, combinatorics, numerical mathematics, and more.

ℹ️ SageMath.org is the official website for SageMath, an open-source mathematics software system designed to provide a robust platform for mathematical computation, research, and education. It integrates various mathematical tools and programming languages to facilitate advanced mathematical problem solving and research.

📘Computer algebra system. SageMath (previously Sage or SAGE, "System for Algebra and Geometry Experimentation") is a computer algebra system (CAS) with features covering many aspects of mathematics, including algebra, combinatorics, graph theory, numerical analysis, number theory, calculus and statistics. The first version of SageMath was released on 24 February 2005 as free and open-source software under the terms of the GNU General Public License version 2, with the initial goals of creating an "open source alternative to Magma, Maple, Mathematica, and MATLAB". The originator and leader of the SageMath project, William Stein, was a mathematician at the University of Washington. SageMath uses a syntax resembling Python's, supporting procedural, functional and object-oriented constructs.

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R Consortium - Supporting the R Community and Open-Source Projects
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ℹ️ The R Consortium is an organization dedicated to supporting the R programming language and its community. It focuses on advancing open-source R projects, fostering collaboration among data scientists, and providing funding and resources to enhance R's ecosystem globally.

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Martin Fitzpatrick – Python tutorials, projects and books
Python programming tutorials, projects and books. Maker of lo-fi & retro-inspired games and gadgets.

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Martin Fitzpatrick – Python tutorials, projects and books
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Ogris El | Innovative Web Solutions and Design
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MDAS Analytics
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IPython — Productive Interactive Computing and Data Science Platform
IPython.org provides a powerful interactive shell for Python, offering tools for scientific computing, data analysis, and interactive programming. Discover more about IPython and its extensive features.

ℹ️ IPython is an enhanced interactive Python shell designed to improve the productivity of developers and data scientists. It offers advanced features like syntax highlighting, magic commands, rich media, and seamless integration with Jupyter notebooks, fostering an efficient environment for scientific computing and data analysis.

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Azevedo Lab - Cutting-Edge Scientific Research and Innovations
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Martin Fitzpatrick - Python tutorials, projects and books
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Galaxy Project | Open, Web-Based Platform for Data Analysis
Explore Galaxy Project, an open-source platform that enables accessible, reproducible, and transparent computational biomedical research through a user-friendly web interface.

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DeepDetect - Machine Learning API for Image and Data Classification
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Python Tutor - Online Python Tutors and Teachers
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Home | Cueboy's Den
My website is dedicated, first and foremost, to all my Mauritian compatriots, and to every person who enjoys lifelong learning. I've always believed that imparting knowledge and experience is the most noble mission of every human being in order to perpetuate the race. It can only make you a better person... My areas of expertise are Mathematics, Statistics, Quantitative Research, Web Design and Internet Studies. I also have a combined teaching and lecturing experience of more than 20 years in these fields in South Africa and Mauritius.

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Astropy - Python Library for Astronomy and Astrophysics
Astropy.org is the official website for Astropy, a comprehensive Python library designed for astronomy and astrophysics data analysis, visualization, and computation.

ℹ️ Astropy is an open-source Python library that provides tools and functionalities essential for astronomers and astrophysicists. It facilitates data analysis, manipulation, visualization, and modeling of astronomical data, supporting a wide range of scientific workflows in astronomy.

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Math.NET: Comprehensive Mathematics Library for .NET
Math topics explained online in an easy to understand way, covering primary math, algebra, geometry, trigonometry, probability, statistics, and calculus for K-12 students, teachers, and parents.

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📘. Math.NET Numerics is an open-source numerical library for .NET and Mono, written in C# and F#.

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For Python Quants Event Series
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FreeFEM: Open-Source Finite Element Software for Scientific Computing
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Python and R Tips - Learn Data Science with Python and R
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About-datasciY.com
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VisualPython.ai - AI-Powered Visual Programming Platform
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ℹ️ VisualPython.ai is a cutting-edge visual programming platform that leverages artificial intelligence to make coding more accessible and intuitive. It enables users to create complex software applications through visual interfaces, reducing the need for traditional coding skills and accelerating development workflows.


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Tania Allard | Software Engineer
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ℹ️ igraph is a powerful library designed for the analysis and visualization of networks and graphs. It offers extensive tools for creating, manipulating, and modeling complex network structures, making it popular among researchers and data analysts interested in network science and graph theory.


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ℹ️ DataQuest is an online platform providing hands-on courses in data analysis and data science. It focuses on practical, project-based learning to help students develop in-demand data skills using tools like Python and SQL.

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ℹ️ PyTorch is an open-source machine learning framework that provides tools for building and training neural networks with dynamic computation graphs. Widely used in research and industry, it offers ease of use, flexibility, and performance optimization for developing AI models in Python.

📘Open source machine learning library. PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella. It is free and open-source software released under the modified BSD license.

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scikit-image: Image processing in Python — scikit-image
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ℹ️ scikit-image.org is the official website of scikit-image, an open-source Python library for advanced image processing and computer vision tasks. It offers a wide range of algorithms for image segmentation, feature detection, filtering, and more, aimed at researchers, developers, and data scientists working with visual data.

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ℹ️ TensorFlow is an open-source platform developed by Google for building and deploying machine learning models. It provides a flexible ecosystem of tools, libraries, and community resources that enable researchers and developers to create sophisticated AI and deep learning applications efficiently.

📘Machine learning software library. TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.TensorFlow was developed by the Google Brain team for internal Google use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released the updated version of TensorFlow, named TensorFlow 2.0, in September 2019.TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java. This flexibility lends itself to a range of applications in many different sectors.

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ℹ️ Intellipaat is a leading online training platform providing industry-relevant certification courses in areas such as Data Science, Artificial Intelligence, Machine Learning, Cloud Computing, Big Data, and ERP. It aims to upskill professionals and help them achieve their career goals through comprehensive and flexible learning options.

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ℹ️ python.org is the official website for the Python programming language, offering downloads, comprehensive documentation, tutorials, community forums, and resources to help developers learn and improve their Python skills.

📘General-purpose programming language. Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000.

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ℹ️ ThisPointer is a tech blog focused on providing detailed tutorials, how-to articles, and tips covering a wide range of topics including programming, web development, software, gadgets, and technology trends to assist developers and tech enthusiasts.

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ℹ️ CS231n is a renowned online course hosted by Stanford University that focuses on convolutional neural networks and their application to visual recognition tasks. It offers detailed lecture notes, assignments, and resources to help students understand the fundamentals and advancements in deep learning for computer vision.

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