The Python book / Rob Mastrodomenico.

By: Mastrodomenico, Rob [author.]
Language: English Publisher: Hoboken, NJ : Wiley, 2022Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119573319 ; 9781119573289; 9781119573395Subject(s): Python (Computer program language)Genre/Form: Electronic books.DDC classification: 005.13/3 LOC classification: QA76.73.P98Online resources: Full text is available at Wiley Online Library Click here to view
Contents:
TABLE OF CONTENTS 1 Introduction 5 2 Equality and Comparison 15 3 Data Types 19 4 Dates 27 5 Lists 33 6 Tuples 45 7 Dictionaries 49 8 Loops, if, else and while 55 9 Assigning variables 71 10 Strings 77 11 Dealing with files 89 12 Functions and Classes 97 13 Numpy 117 14 Pandas 123 15 Advanced Pandas methods 151 16 Plotting 219
Summary: "The Python Book looks to meet the needs of those who work with data but do not have experience of using Python. The aim of this book is to be able to teach somebody with no programming experience how to program in Python and be able to apply their skills to data analysis tasks. With Python being such a general purpose language, it is easy for any introductory text to concentrate on areas that are not useful to individuals who are really interested in data analysis. This book will be much more focused on what is important and why. This book looks to build the readers skills up at a slower pace with the focus on understanding why you do things the way you do. The aim at the end is not just for the reader to be able to do data analysis in Python but to understand why you would use a certain approach."-- Provided by publisher.
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Item type Current location Home library Call number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
005.133 M395 2022 (Browse shelf) Available CL-53034
Total holds: 0

ABOUT THE AUTHOR
Rob Mastrodomenico, PhD, is a quant/statistician/data scientist with a focus on modelling sports. He received his doctorate in Applied Statistics. He has practical experience with languages like Python, R, Java, and C++, as well as database experience with MySQL and SQL Server. He has taught his Introduction to Python course numerous times at the Royal Statistical Society.

Includes bibliographical references and index.

TABLE OF CONTENTS
1 Introduction 5

2 Equality and Comparison 15

3 Data Types 19

4 Dates 27

5 Lists 33

6 Tuples 45

7 Dictionaries 49

8 Loops, if, else and while 55

9 Assigning variables 71

10 Strings 77

11 Dealing with files 89

12 Functions and Classes 97

13 Numpy 117

14 Pandas 123

15 Advanced Pandas methods 151

16 Plotting 219

"The Python Book looks to meet the needs of those who work with data but do not have experience of using Python. The aim of this book is to be able to teach somebody with no programming experience how to program in Python and be able to apply their skills to data analysis tasks. With Python being such a general purpose language, it is easy for any introductory text to concentrate on areas that are not useful to individuals who are really interested in data analysis. This book will be much more focused on what is important and why. This book looks to build the readers skills up at a slower pace with the focus on understanding why you do things the way you do. The aim at the end is not just for the reader to be able to do data analysis in Python but to understand why you would use a certain approach."-- Provided by publisher.

Description based on print version record and CIP data provided by publisher; resource not viewed.

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