PythonDataAnalyticsHandbook

Python Foundations for Data Analytics with 3rd Party Packages & Libraries

What this handbook is about ...

• introduction to Python from first principles
• you will have the knowledge and understanding to learn more on your own
• get insights into 3^rd party Python libraries in general
• learn the basics of some common 3^rd Party libraries
  • numerical computations
  • manipulating data sets
  • charting

This handbook is organized into the various sections, and those themselves are organized by lesson within each chapter.

Resources include:

• Fully annotated Jupyter notebooks corresponding to the coding lessons.
• Any files we used during the coding lessons.
• Exercises for each chapter containing at least two files:
  • A Jupyter notebook with the questions.
  • A second Jupyter notebook with a fully annotated solution (you may have a different way of solving the problem and that's absolutely fine, as long as your code works, and is clear and easy to read).
  • if applicable, additional data files or materials needed to complete the exercises.

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1. Installing and Running Python

In the first chapter of this handbook I explain how to install and run Jupyter notebooks - please refer to that chapter if you need detailed instructions.