Jake VanderPlas, “Python Data Science Handbook: Essential Tools for Working with Data”
English | ISBN: 1491912057 | 2016 | EPUB | 672 pages | 7,6 MB
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?
