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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.
NumPy is a library for the Python programming language that adds support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions. It is open-source, cross-platform, and compatible with many other scientific and engineering packages.
Pandas is a Python library for data manipulation and analysis, with data structures such as Series and DataFrames. It offers features for importing, transforming, summarizing, and grouping data, as well as time series support and missing data handling.
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.
Matplotlib is a cross-platform plotting library for Python and NumPy that provides an object-oriented API and a MATLAB-like interface. It supports various types of plots, such as line, histogram, scatter, 3D, image, contour, and polar plots, and has many toolkits and related projects.
scikit-learn is a free and open-source library for various classification, regression and clustering algorithms. It integrates with NumPy, SciPy and other Python libraries and has a long history of development and releases since 2007.
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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.