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Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. It integrates with many popular packages in the scientific Python stack, such as NumPy, SciPy, Matplotlib, and others, and offers features such as code completion, debugging, profiling, and plugins.
Python is a high-level, general-purpose programming language that emphasizes code readability and supports multiple paradigms. It was created by Guido van Rossum in the late 1980s and has gained widespread use in the machine learning community.
PyCharm is a cross-platform integrated development environment (IDE) for Python programming. It has a Community Edition with open-source features and a Professional Edition with proprietary modules, such as scientific tools and web development support.
A comprehensive list of software applications, libraries, frameworks, and tools written in or using Python, the popular programming language. Find examples of Python software for various purposes, such as web development, scientific computing, data analysis, and more.
eric is a free and open source integrated development environment (IDE) for Python programming. It supports Python 2 and 3, Qt and PyQt, and offers features such as code editing, debugging, testing, documentation, and version control.
Anaconda is a Python and R distribution that simplifies package management and deployment for data science, machine learning and large-scale data processing. It includes conda, a package manager that resolves dependencies and conflicts, and Anaconda Navigator, a GUI for launching applications and managing environments.
Nuitka is a source-to-source compiler that compiles Python code to C source code, applying some optimizations. It supports multiple Python versions and can create standalone programs, but has some limitations and dependencies.
Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones. It supports CPU and GPU architectures and was developed by the Montreal Institute for Learning Algorithms (MILA) until 2017.