Python for Data Analysis
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries youβll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. Itβs ideal for analysts new to Python and for Python programmers new to scientific computing.
- Use the IPython interactive shell as your primary development environment
- Learn basic and advanced NumPy (Numerical Python) features
- Get started with data analysis tools in the pandas library
- Use high-performance tools to load, clean, transform, merge, and reshape data
- Create scatter plots and static or interactive visualizations with matplotlib
- Apply the pandas groupby facility to slice, dice, and summarize datasets
- Measure data by points in time, whether itβs specific instances, fixed periods, or intervals
- Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
Table of Contents
Chapter 1. Preliminaries
Chapter 2. Introductory Examples
Chapter 3. IPython: An Interactive Computing and Development Environment
Chapter 4. NumPy Basics: Arrays and Vectorized Computation
Chapter 5. Getting Started with pandas
Chapter 6. Data Loading, Storage, and File Formats
Chapter 7. Data Wrangling: Clean, Transform, Merge, Reshape
Chapter 8. Plotting and Visualization
Chapter 9. Data Aggregation and Group Operations
Chapter 10. Time Series
Chapter 11. Financial and Economic Data Applications
Chapter 12. Advanced NumPy
Book Details
- Paperback: 470 pages
- Publisher: O’Reilly Media (October 2012)
- Language: English
- ISBN-10: 1449319793
- ISBN-13: 978-1449319793
wrong link, please upload it again, thanks.
I think there’s the wrong archive attached – it’s from the previous post …
hey guy, links are other book’s! plz, fix them π
wrong links
E-book links point to a different book. Please fix this.
Linked book doesn’t match one described in the post.
Link name is wrong. It’s point to other book. Thanks in advance π
The download link goes to another book, please correct it! Thanks a lot
Thank you for your excelent job. The prefiles link points to another book.
Wrong book!
This looks like an interesting one, but the preview links are for the normal release of your previous post, which featured the early-release edition of “Oreilly.Natural.Language.Annotation.for.Machine.Learning”; rather than for the book actually described here, “Python for Data Analysis”.
Just thought I’d mention it in case you hadn’t already noticed the mis-match between page contents and file contents…
Thanks for the continuing supply of great reviews on new books!
The download link is for the wrong book
The link seems to be wrong, pointing to a previous book.
Sorry for my mistake. Link was corrected.
Thank you π
Wow!,
Thanks!