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- 550 pages
- 20 hours of reading
More about the book
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
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Python for Data Analysis, Wes McKinney
- Language
- Released
- 2017
- product-detail.submit-box.info.binding
- (Paperback)
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- Subtitle
- Data Wrangling with Pandas, Numpy, and Ipython
- Language
- English
- Authors
- Wes McKinney
- Publisher
- O'Reilly
- Released
- 2017
- Format
- Paperback
- Pages
- 550
- ISBN10
- 1491957662
- ISBN13
- 9781491957660
- Series
- Tags
- Non-Fiction, Technology & Engineering, References & Manuals, Computers & Internet, Technology, Software, Software Development, Pandas
- Rating
- 4.15 out of 5
- Description
- Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.