Packages websites

Here is a list of Python packages that we have mentioned in this book with their respective websites, where you can find the most up-to-date information:

• IPython: This is a rich architecture for interactive computing (http://ipython.org)
• NumPy: This is used for high performance and vectorized computations on multidimensional arrays (http://www.numpy.org)
• SciPy: This is used for advanced numerical algorithms (http://www.scipy.org)
• matplotlib: This is used to plot and perform an interactive visualization (http://matplotlib.org)
• matplotlib-basemap: This is a mapping toolbox for matplotlib (http://matplotlib.org/basemap/)
• Seaborn: This is used to represent statistical data visualization for matplotlib (http://stanford.edu/~mwaskom/software/seaborn)
• Scikit: This is used for machine learning purposes in Python (http://scikit-learn.org/stable)
• NetworkX: This is used to handle graphs (http://networkx.lanl.gov)
• Pandas: This is used to deal with any kind of tabular data (http://pandas.pydata...