Python Tools for Data Scientists - Pocket Primer

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapte...

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Bibliographic Details
Main Author: Campesato, Oswald
Format: eBook
Language:English
Published: Berlin Mercury Learning and Information 2023
Mercury Learning & Information
Mercury Learning
Edition:1
Series:Pocket Primer
Subjects:
awk
COM018000 COMPUTERS / Data Processing
Computer games
Computer programming
COMPUTERS / Programming / General
COMPUTERS / Programming Languages / General
COMPUTERS / Programming Languages / Python
Data
data cleaning
data science
data visualization
General Engineering & Project Administration
General References
NumPy
Programming
Programming Languages
Python
Python (Computer program language)
SciPy
Sklearn
Software Engineering
Sklearn
SciPy
awk
data science
data cleaning
Programming
Data
data visualization
NumPy
Python
ISBN:9781683928232, 1683928237
Online Access:Get full text
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Description
Summary:As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available.FEATURES: Introduces Python, NumPy, Sklearn, SciPy, and awk Covers data cleaning tasks and data visualization Features numerous code samples throughout Includes companion files with source code
ISBN:9781683928232
1683928237
DOI:10.1515/9781683928225