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/