QuickStart Guides

A series of Jupyter Notebooks showcasing the features of often-used python libraries and/or suggested workflows for common computing operations.

Note: Some notebooks are in the form of html files, having been converted via

jupyter nbconvert --to html  *.ipynb

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Directory Tree

• generated via the tree bash command.

.
├── Class Development Tool.html
├── Filesystem_Operations_-_shutil_os_modules.html
├── Jupyter_Shortcuts.html
├── Matplotlib--Plotting_and_Visualization.html
├── NetworkX_Essentials.html
├── README.md
├── Regular Expressions.html
└── Sympy_Reference_Sheet.html

0 directories, 8 files

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Dependencies - Libraries used

• Python 3.6 (code should also work for Python 2.7)
• Anaconda Python Data Science Distribution ; the easiest way to install & manage all scientific libraries used in this repo.

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Reference Links