Software tools: Difference between revisions

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** [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://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
** [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
** [http://vpython.org/ VPython] Python programming language plus a 3D graphics module called "visual". VPython makes it easy to create navigable 3D displays and animations
** [http://docs.enthought.com/mayavi/mayavi/ Mayavi] An application and library for interactive scientific data visualization and 3D plotting in Python


== Mathematical tools ==
== Mathematical tools ==

Revision as of 10:37, 3 June 2015

On this page, you will find a list of useful publicly available software tools, for data analysis, graphical display, etc.

Emulation, file management

  • XQuartz X-window system for Mac
  • PuTTY Telnet/SSH client for Windows and Unix
  • Fugu Secure File Transfer for Mac

Numerical tools and libraries

  • Numerical Recipes
  • GNU Fortran
  • Octave, a free alternative to Matlab
  • Python, a programming language
    • Canopy Scientific and Analytic Python Deployment with Integrated Analysis Environment
    • Anaconda Python distribution for large-scale data processing, predictive analytics, and scientific computing
    • 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
    • IPython Powerful interactive shells and browser-based notebook for Python
    • NumPy and Scipy Fundamental packages for scientific computing with Python
    • matplotlib A python 2D (and 3D basic support) plotting library which produces publication quality figures
    • Seaborn Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics
    • 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
    • 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
    • VPython Python programming language plus a 3D graphics module called "visual". VPython makes it easy to create navigable 3D displays and animations
    • Mayavi An application and library for interactive scientific data visualization and 3D plotting in Python

Mathematical tools

Graphical tools

Text editing tools

  • LaTeX
    • TeXShop, complete LaTeX + BibTeX package for Mac
    • BibDesk, bibliography manager for Mac
    • LaTeXiT, compiles LaTeX formulas for presentations for Mac
  • Emacs, powerful plain text editor
  • TextWrangler, powerful plain text editor for Mac
  • LibreOffice, office suite of programs

See also