Python can be used for a variety of coding projects including machine learning algorithms, web applications, data mining and visualization, game development.

Some of the highlights of this book include:

- What the Python language is

- How we can benefit from data analysis, no matter what industry we are.

- How Python is able to work well with the data analysis

- How to install and use the NumPy library, one of the best extensions with Python, to help us get our data analysis done.

- How to work with the Pandas and IPython extensions so that we are able to get things done with your analysis.

- A look at the Matplotlib library to help you create some of your own visuals with your data when the analysis is done.

- How to work with data visuals and how they are so important to your work.

- The five major stages of the TDSP lifecycle.

- Installation instructions for Python

- Python coding concepts such as data types, classes, and objects variables, numbers, constructor functions, Booleans and much more.

- Learn the functioning of various data science libraries like Scikit-Learn

- How to create various graphs using Matplotlib and Pandas library.

- Learn how machine learning allows analysis of large volumes of data and delivers faster and more accurate results.

- Overview of four different machine-learning algorithms

- Learn how companies are able to employ a predictive analytics model