Who This Book Is For

This book is for data scientists, analysts and Python developers who wish to perform data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory.

What You Will Learn

In Detail

Pandas is one of the most powerful, flexible, and efficient scientific computing packages in Python. With this book, you will explore data in pandas through dozens of practice problems with detailed solutions in iPython notebooks.

This book will provide you with clean, clear recipes, and solutions that explain how to handle common data manipulation and scientific computing tasks with pandas. You will work with different types of datasets, and perform data manipulation and data wrangling effectively. You will explore the power of pandas DataFrames and find out about boolean and multi-indexing. Tasks related to statistical and time series computations, and how to implement them in financial and scientific applications are also covered in this book.

By the end of this book, you will have all the knowledge you need to master pandas, and perform fast and accurate scientific computing.

Style and Approach

This book consists of hands-on recipes where you'll deal with real-world problems. You'll execute a series of tasks as you walk through data science challenges using idiomatic pandas. Your one-stop solution for common and not-so-common pain points, this is a book that you must have on the shelf.