Python challenges : 100 proven programming tasks designed to prepare you for anything / by Michael Inden

By:

Inden, Michael [Author]

Material type: Text

TextLanguage: English Publication details: New York : Apress, 2022.Description: xxxi, 660 p. ; 25 cm. PBISBN:

9781484284483

Subject(s):

DDC classification:

006.312 IND

Contents:

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

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	Ranganathan Library	Computer Science and Technology	006.312 IND (Browse shelf(Opens below))	Available	048438

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Previous	006.312 GUP Practical data science with jupyter: Explore data cleaning pre-processing data wrangling feature engineering and machine learning using python and jupyter/	006.312 GUP Deep learning on microcontrollers: Learn how to develop embedded AI applications using TinyML/	006.312 HAN Data mining : Concepts and techniques/	006.312 IND Python challenges : 100 proven programming tasks designed to prepare you for anything /	006.312 NEL Python data analytics : with pandas, numpy and matplotlib /	006.312 RUB Beginning django : web application development and deployment with python /	006.312 SIM Mathematical analysis for machine learning and data mining /	Next

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

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