Python Data Science Handbook: Essential Tools for Working with Data
- Length: 672 pages
- Edition: 1
- Language: English
- Publisher: O'Reilly Media
- Publication Date: 2016-12-16
- ISBN-10: 1491912057
- ISBN-13: 9781491912058
- Sales Rank: #11437 (See Top 100 Books)
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.
Table of Contents
Chapter 1. IPython: Beyond Normal Python
Chapter 2. Introduction to NumPy
Chapter 3. Data Manipulation with Pandas
Chapter 4. Visualization with Matplotlib
Chapter 5. Machine Learning
Donate to keep this site alive
How to download source code?
1. Go to: https://www.oreilly.com/
2. Search the book title: Python Data Science Handbook: Essential Tools for Working with Data
, sometime you may not get the results, please search the main title
3. Click the book title in the search results
3. Publisher resources
section, click Download Example Code
.
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.