The following is a list of links to documentation, forums, articles, and other information:

The Apache Cassandra database: http://cassandra.apache.org

Beautiful Soup: https://www.crummy.com/software/BeautifulSoup/

The HDF Group website: https://www.hdfgroup.org/

A gallery of interesting IPython notebooks: https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks

The Graphviz open source graph visualization software: http://graphviz.org/

The IPython website: http://ipython.org/

The Jupyter website: http://jupyter.org/

Matplotlib (a Python plotting library): http://matplotlib.org/

MongoDB (an open source document database): http://www.mongodb.org

The mpi4py docs: http://mpi4py.scipy.org/docs/usrman/index.html

Natural Language Toolkit (NLTK): http://www.nltk.org/

NumPy and SciPy documentation: http://docs.scipy.org/doc/

NumPy and SciPy mailing lists: http://www.scipy.org/Mailing_Lists

Open MPI (a high performance message passing library): http://www.open-mpi.org

Packt Publishing help and support: http://www.packtpub.com/support

The pandas home page: http://pandas.pydata.org

Python performance tips: https://wiki.python.org/moin/PythonSpeed/PerformanceTips

Redis (an open source, key-value store): http://redis.io/

Scikit-learn (machine learning with Python): http://scikit-learn.org/stable/

Scikit-learn performance tips: http://scikit-learn.org/stable/developers/performance.html

SciPy performance tips: http://wiki.scipy.org/PerformanceTips

SQLAlchemy (the Python SQL toolkit and Object Relational Mapper): http://www.sqlalchemy.org

The Toolz utility functions documentation: http://toolz.readthedocs.org/en/latest/

Plotly matplotlib figure converter: https://plot.ly/matplotlib/getting-started/

Using Plotly with Python offline: https://plot.ly/python/offline/

Saving static images (PNG, PDF, etc): https://plot.ly/python/static-image-export/

Creating HTML or PDF reports in Python: https://plot.ly/python/#report-generation

Security and Plotly's server at your company: https://plot.ly/products/on-premise/

Creating dashboards with Plotly and Python: https://plot.ly/python/dashboard/

Connecting to databases: https://plot.ly/python/#databases

Plotly and IPython / Jupyter notebook: https://plot.ly/ipython-notebooks/