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Python challenges = 100 proven progr...

Inden, Michael.

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Python challenges = 100 proven programming tasks designed to prepare you for anything /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python challenges/ by Michael Inden.
Reminder of title:	100 proven programming tasks designed to prepare you for anything /
Author:	Inden, Michael.
Published:	Berkeley, CA :Apress : : 2022.,
Description:	xxxi, 660 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction -- Part I - Fundamentals -- 2. Mathematical Problems -- 3. Recursion -- 4. Strings -- 5. Basic Data Structures: Lists, Sets, and Dictionaries -- 6. Arrays -- Part II - More Advanced and Tricky Topics -- 7. Recursion Advanced -- 8. Binary Trees -- 9. Searching and Sorting -- 10. Conclusion and Supplementary Material -- Part III - Appendices -- Appendix A. Short Introduction to Pytest -- Appendix B. Short Introduction to Decorators -- Appendix C. Quick Start O-Notation -- Appendix D. Short Introduction to Python 3.10 -- Bibliography.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language) - Problems, exercises, etc. -
Online resource:	https://doi.org/10.1007/978-1-4842-7398-2
ISBN:	9781484273982

Python challenges = 100 proven programming tasks designed to prepare you for anything /
Inden, Michael.

Python challenges100 proven programming tasks designed to prepare you for anything /[electronic resource] :by Michael Inden. - Berkeley, CA :Apress :2022. - xxxi, 660 p. :ill., digital ;24 cm.

1. Introduction -- Part I - Fundamentals -- 2. Mathematical Problems -- 3. Recursion -- 4. Strings -- 5. Basic Data Structures: Lists, Sets, and Dictionaries -- 6. Arrays -- Part II - More Advanced and Tricky Topics -- 7. Recursion Advanced -- 8. Binary Trees -- 9. Searching and Sorting -- 10. Conclusion and Supplementary Material -- Part III - Appendices -- Appendix A. Short Introduction to Pytest -- Appendix B. Short Introduction to Decorators -- Appendix C. Quick Start O-Notation -- Appendix D. Short Introduction to Python 3.10 -- Bibliography.

Augment your knowledge of Python with this entertaining learning guide, which features 100 exercises and programming puzzles and solutions. Python Challenges will help prepare you for your next exam or a job interview, and covers numerous practical topics such as strings, data structures, recursion, arrays, and more. Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by 10 to 15 exercises of various degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area. Author Michael Inden also describes alternative solutions and analyzes possible pitfalls and typical errors. Three appendices round out the book: the first covers the Python command line interpreter, which is often helpful for trying out the code snippets and examples in the book, followed by an overview of Pytest for unit testing and checking the solutions. The last explains the O notation for estimating performance. After reading this book, you'll be prepared to take the next step in your career or tackle your next personal project. All source code is freely available for download via the Apress website. You will: Improve your Python knowledge by solving enjoyable but challenging programming puzzles Solve mathematical problems, recursions, strings, arrays and more Manage data processing and data structures like lists, sets, maps Handle advanced recursion as well as binary trees, sorting and searching Gamify key fundamentals for fun and easier reinforcement.

ISBN: 9781484273982

Standard No.: 10.1007/978-1-4842-7398-2doiSubjects--Topical Terms:

3599994
Python (Computer program language)
--Problems, exercises, etc.

LC Class. No.: QA76.73.P98 / I53 2022

Dewey Class. No.: 005.133

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505 0 $a 1. Introduction -- Part I - Fundamentals -- 2. Mathematical Problems -- 3. Recursion -- 4. Strings -- 5. Basic Data Structures: Lists, Sets, and Dictionaries -- 6. Arrays -- Part II - More Advanced and Tricky Topics -- 7. Recursion Advanced -- 8. Binary Trees -- 9. Searching and Sorting -- 10. Conclusion and Supplementary Material -- Part III - Appendices -- Appendix A. Short Introduction to Pytest -- Appendix B. Short Introduction to Decorators -- Appendix C. Quick Start O-Notation -- Appendix D. Short Introduction to Python 3.10 -- Bibliography.
520 $a Augment your knowledge of Python with this entertaining learning guide, which features 100 exercises and programming puzzles and solutions. Python Challenges will help prepare you for your next exam or a job interview, and covers numerous practical topics such as strings, data structures, recursion, arrays, and more. Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by 10 to 15 exercises of various degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area. Author Michael Inden also describes alternative solutions and analyzes possible pitfalls and typical errors. Three appendices round out the book: the first covers the Python command line interpreter, which is often helpful for trying out the code snippets and examples in the book, followed by an overview of Pytest for unit testing and checking the solutions. The last explains the O notation for estimating performance. After reading this book, you'll be prepared to take the next step in your career or tackle your next personal project. All source code is freely available for download via the Apress website. You will: Improve your Python knowledge by solving enjoyable but challenging programming puzzles Solve mathematical problems, recursions, strings, arrays and more Manage data processing and data structures like lists, sets, maps Handle advanced recursion as well as binary trees, sorting and searching Gamify key fundamentals for fun and easier reinforcement.
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