Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython


Super Savings Item! Save 37% on the Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by O'Reilly Media at SADC Network. MPN: 46005891. Hurry! Limited time offer. Offer valid only while supplies last. 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. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science


Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by O'Reilly Media
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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. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.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.Use the IPython shell and Jupyter notebook for exploratory computingLearn basic and advanced features in NumPy (Numerical Python)Get started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

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  • python for data analysis
  • python for data analysis wes mckinney

Additional Information

Manufacturer:
O'Reilly Media
Category:
Programming Languages
MPN:
46005891
EAN:
9781491957660
ISBN:
1491957662
Edition:
2
Part Number:
46005891
Author:
Wes McKinney
Publisher:
O'Reilly Media
Publication Date:
2017-10-20
Binding:
Paperback
Item Weight:
2.28 pounds
Item Size:
1.3 x 9.1 x 7 inches
Package Weight:
1.9 pounds
Package Size:
6.85 x 1.1 x 8.98 inches

 


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