Learning Pandas

Get to grips with pandas―a versatile and high-performance Python library for data manipulation, analysis, and discovery

About This Book

• Employ the use of pandas for data analysis closely to focus more on analysis and less on programming
• Get programmers comfortable in performing data exploration and analysis on Python using pandas
• Step-by-step demonstration of using Python and pandas with interactive and incremental examples to facilitate learning

Who This Book Is For

If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.

In Detail

This learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis.

This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loading data from local and Internet-based resources, and finally creating effective visualizations to form quick insights. You start with an overview of pandas and NumPy and then dive into the details of pandas, covering pandas' Series and DataFrame objects, before ending with a quick review of using pandas for several problems in finance.

With the knowledge you gain from this book, you will be able to quickly begin your journey into the exciting world of data science and analysis.