Python for Data Science For Dummies
Language: English
Published by For Dummies, 2019
- Softcover
- Used
Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
AbeBooks seller since March 23, 2026
Condition: Used - Good
US$ 6.49
Quantity: 2 available
Add to basketItem description from seller
The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s?and named after Monty Python?that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and PythonVisualize informationWrangle dataLearn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Seller Inventory # CIN1119547628G
- Title
- Python for Data Science For Dummies
- Author
- John Paul Mueller
- Publisher
- For Dummies
- Publication year
- 2019
- Condition
- Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1119547628
- ISBN 13
- 9781119547624
- Edition
- 2nd Edition
The fast and easy way to learn Python programming and statistics
Python is a general-purpose programming language created in the late 1980s―and named after Monty Python―that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.
Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.
- Get started with data science and Python
- Visualize information
- Wrangle data
- Learn from data
The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
World of Books Inc
Montgomery, IL, U.S.A.
AbeBooks seller since March 23, 2026
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