## Python libraries for data visualisation, data analysis and scientific computing

13 May 2016
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Python libraries for data visualisation, data analysis and scientific computing mainly used for Big Data.

**Libraries for Data Visualization**

- matplotlib – A Python 2D plotting library.
- bokeh – Interactive Web Plotting for Python.
- ggplot – Same API as ggplot2 for R.
- plotly – Collaborative web plotting for Python and matplotlib.
- pygal – A Python SVG Charts Creator.
- pygraphviz – Python interface to Graphviz.
- PyQtGraph – Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
- SnakeViz – A browser based graphical viewer for the output of Python’s cProfile module.
- vincent – A Python to Vega translator.
- VisPy – High-performance scientific visualization based on OpenGL.

**Libraries for Scientific Computing and Data Analysis**

- astropy – A community Python library for Astronomy.
- bcbio-nextgen – A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.
- bccb – Collection of useful code related to biological analysis.
- Biopython – Biopython is a set of freely available tools for biological computation.
- blaze – NumPy and Pandas interface to Big Data.
- cclib – A library for parsing and interpreting the results of computational chemistry packages.
- NetworkX – A high-productivity software for complex networks.
- Neupy – Running and testing different Artificial Neural Networks algorithms.
- NIPY – A collection of neuroimaging toolkits.
- Numba – Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
- NumPy – A fundamental package for scientific computing with Python.
- Open Babel – A chemical toolbox designed to speak the many languages of chemical data.
- Open Mining – Business Intelligence (BI) in Python (Pandas web interface)
- orange – Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.
- Pandas – A library providing high-performance, easy-to-use data structures and data analysis tools.
- PyDy – Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
- PyMC – Markov Chain Monte Carlo sampling toolkit.
- RDKit – Cheminformatics and Machine Learning Software.
- SciPy – A Python-based ecosystem of open-source software for mathematics, science, and engineering.
- statsmodels – Statistical modeling and econometrics in Python.
- SymPy – A Python library for symbolic mathematics.
- zipline – A Pythonic algorithmic trading library.

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