Python data science handbook: essential tools for working with data
| Main Author: | Vanderplas, Jacob T. |
|---|---|
| Format: | Book |
| Terbitan: |
O\'Reilly Media, Inc
, 2016
|
| Subjects: | |
| Online Access: |
https://slims.bakrie.ac.id:443/index.php?p=show_detail&id=3870 https://slims.bakrie.ac.id:443/images/docs/9781491912058.jpg.jpg |
Daftar Isi:
- 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.