Some key software tools we will use in class are:

• The Python language.  
• Jupyter Notebooks, an interactive environment for writing and executing Python codes. 
• Matplotlib, for plotting and visualizing results.
• NBConvert, a tool for converting Jupyter Notebooks into presentable documents (e.g. PDFs).
• Git and Github, for version control and code sharing.
• HDF5, a hierarchical data format for working with large structured datasets.  And h5py, the python interface to HDF5.
• Numerical Python (Numpy), for efficient manipulation of matrix data in a pythonic interface .
• Scientific Python (Scipy), for advanced numerical and statistical routines.
• Scikit-Learn, for standard implementations of machine learning tools in a pythonic interface.