Python for data analysis : [agile tools
β Wes McKinney
π Library
π
2012
π O'Reilly
π English
β¦ LIBER β¦
π
Python for Data Analysis: Agile Tools for Real World Data
β Scribed by Wes McKinney
- Publisher
- O'Reilly Media
- Year
- 2012
- Tongue
- English
- Leaves
- 470
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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 you'll 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.
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2012
π "O'Reilly Media, Inc."
π English
Presents case studies and instructions on how to solve data analysis problems using Python.
Python for Data Analysis: Data Wrangling
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2017
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Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide--updated for Python 3.5 and Pandas 1.0--is packed with practical cases studies that show you how to effectively solve a broad set of data analys
Python for Data Analysis. Data Wrangling
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Python for Data Analysis: Data Wrangling
β Wes McKinney
π Library
π
2017
π OβReilly Media
π English
<div><p>Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youβll lea
Python for Data Analysis: Data Wrangling
β Wes McKinney
π Library
π
2017
π OβReilly Media
π English
<div><p>Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youβll lea