Data Analysis using Python / Ansgar Rosmund.

By:

Rosmund, Ansgar

Material type: Text

TextLanguage: English Publication details: Sweden : Lynas Publishing, 2023.Description: 226 p. : ill. ; 23 cmISBN:

9789188364340

Uniform titles:

Data Analysis using Python

Subject(s):

DDC classification:

23 005.133 ROS

Contents:

1. Understanding Programming 2. Variables, expression, and statements 3. Conditional execution 4. Functions 5. Iteration 6. Strings 7. Files 8. Lists 9. Dictionaries 10. Tuples 11. Regular Expression 129 12. Networked Programs 13. UsingWeb services 155 14. Using databases and SQL. 15. Visualizing data 193 16. Automating common tasks on your computer Appendix A Python Programming on Windows Appendix B Python Programming on Macintosh Index

Summary: The overall book structure has been designed to accomplish on data analysis problems as possible and include a series of streaming examples and exercises about data analysis from the very beginning. Number-oriented examples and exercises ar substituted with data oriented examples and exercises. Chapters are organized in the direction required to build gradually complex data analysis solutions. Some topics like try and except are presented as part of the chapter on conditionals,. Functions are arranged with a gentle approach, that is essential to mange the program complexity adequately.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Text Books	CUTN Central Library Generalia	Non-fiction	005.133 ROS (Browse shelf(Opens below))	Available		46849

1. Understanding Programming
2. Variables, expression, and statements
3. Conditional execution
4. Functions
5. Iteration
6. Strings
7. Files
8. Lists
9. Dictionaries
10. Tuples
11. Regular Expression 129
12. Networked Programs
13. UsingWeb services 155
14. Using databases and SQL.
15. Visualizing data 193
16. Automating common tasks on your computer
Appendix A Python Programming on Windows
Appendix B Python Programming on Macintosh
Index

The overall book structure has been designed to accomplish on data analysis problems as possible and include a series of streaming examples and exercises about data analysis from the very beginning. Number-oriented examples and exercises ar substituted with data oriented examples and exercises. Chapters are organized in the direction required to build gradually complex data analysis solutions. Some topics like try and except are presented as part of the chapter on conditionals,. Functions are arranged with a gentle approach, that is essential to mange the program complexity adequately.

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