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#Welcome to my Python page for Jupyter (IPython) notebooks.

These notebooks can be viewed as a webpage by pasting the github URL into nbviewer.jupyer.org

This notebook covers the basic examples of the Python Language and how to use Jupyter Notebooks: Python core types and loop examples

For my current research into the Numerical Python (NumPy) module, check out this notebook: Numerical Python codebase

This notebook contains further coding experiments, especially with FOR an WHILE loops. Generators and iterators can be constructed with these core examples.

Functions and Test Loops with Python

The coconuts, parrot_archive, Eye_of_Parrot and compressed_parrot_whizzo are example outputs from unit tests. The programs DnD_dice.py and bridge_keeper.py are used for IF ELSE examples.

Two notebooks for building analysis applicatins with the pandas library, the first one covers the basics of creating common dataframes (tabular rows and columns) and series (a really long line). The second example shows how to import a variety of files, do a simple transformation or two, then export to a variety of outputs.

00_mt_pd_dataframes_series

01_mt_pd_IO_save

The source code for this notebook came from a training module by {'author' : 'Janani Ravi', 'title' : 'Visualizing Statistical Data Using Seaborn', 'site' : 'pluralsight.com'} This notebook contains basic examples for plotting columns after importing CSV files. e.g. a failed bank list, a TPS report, and bike path usage graph.

01_mt_pd_csv_read

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