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Software tools: Difference between revisions
→Numerical tools and libraries
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* [https://www.python.org/ Python], a programming language | * [https://www.python.org/ Python], a programming language | ||
** [https://www.enthought.com/products/canopy/ Canopy] Scientific and Analytic Python Deployment with Integrated Analysis Environment | ** [https://www.enthought.com/products/canopy/ Canopy] Scientific and Analytic Python Deployment with Integrated Analysis Environment | ||
** [http://docs.continuum.io/anaconda/ Anaconda] Python distribution for large-scale data processing, predictive analytics, and scientific computing | |||
** [http://www.sagemath.org/ SageMath] Free open-source mathematics software system licensed under the GPL. Its mission is to create a viable free open source alternative to Magma, Maple, Mathematica and Matlab | |||
** [http://ipython.org/ IPython] Powerful interactive shells and browser-based notebook for Python | |||
** [http://docs.scipy.org/doc/ NumPy and Scipy] Fundamental packages for scientific computing with Python | |||
** [http://matplotlib.org/ matplotlib] A python 2D (and 3D basic support) plotting library which produces publication quality figures | |||
** [http://stanford.edu/~mwaskom/software/seaborn/ Seaborn] Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics | |||
** [https://github.com/spyder-ide/spyder Spyder] Open source cross-platform Integrated Development Environment for scientific programming in the Python language. Spyder integrates NumPy, SciPy, Matplotlib and IPython, as well as other open source software | |||
** [https://www.jetbrains.com/pycharm/ PyCharm] PyCharm is an Integrated Development Environment used for programming in Python. It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django | |||
== Mathematical tools == | == Mathematical tools == | ||