Preface

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.

You will start off by learning how to set up the right environment for data analysis with Python. Here, you'll learn to install the right Python distribution, as well as work with the Jupyter notebook and set up a database. After that, you will pe into Python's NumPy package—Python's powerful extension with advanced mathematical functions. You will learn to create NumPy arrays, as well as employ different array methods and functions. Then, you will explore Python's pandas extension, where you will learn to subset your data, as well as pe into data mapping using pandas. You'll also learn to manage your datasets by sorting and ranking them.

By the end of this book, you will learn to index and group your data for sophisticated data analysis and manipulation.