Data Science using Python

The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science research and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g. how can I read this data format into my script? How can I manipulate transform and clean this data? How can I visualize this type of data? How can I use this data to gain insight answer questions or to build statistical or machine learning models? This book is a reference for day-to-day Python-enabled data science covering both the computational and statistical skills necessary to effectively work with . The discussion is augmented with frequent example applications showing how the wide breadth of open source Python tools can be used together to analyze manipulate visualize and learn from data.