Python Programming Using Problem Solving /

Python Programming Using Problem Solving / / Harsh Bhasin.

Python is a robust, procedural, object-oriented, and functional language. The features of the language make it valuable for web development, game development, business, and scientific programming. This book deals with problem-solving and programming in Python. It concentrates on the development of e...

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Bhasin, Harsh,
Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2023]
©2023
Year of Publication:2023
Language:English
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Physical Description:1 online resource (574 p.)
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Python Programming Using Problem Solving / Harsh Bhasin.
Dulles, VA : Mercury Learning and Information, [2023]
©2023
1 online resource (574 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Frontmatter -- Contents -- Preface -- Section I: Algorithmic Problem-Solving and Python Fundamentals -- Chapter 1: Algorithmic Problem-Solving -- Chapter 2: Introduction to Python -- Chapter 3: Fundamentals -- Section II: Procedural Programming -- Chapter 4: Conditional Statements -- Chapter 5: Looping -- Chapter 6: Functions -- Chapter 7: File Handling -- Chapter 8: Lists, Tuple, and Dictionary -- Chapter 9: Iterations, Generators, and Comprehensions -- Chapter 10: Strings -- Section III: Object-Oriented Programming -- Chapter 11: Introduction to Object-Oriented Paradigm -- Chapter 12: Classes and Objects -- Chapter 13: Inheritance -- Chapter 14: Operator Overloading -- Chapter 15: Exception Handling -- Section IV: Numpy, Pandas, and Matplotlib -- Chapter 16: Numpy–I -- Chapter 17: Numpy–II -- Chapter 18: Data Visualization-I -- Chapter 19: Data Visualization–II -- Chapter 20: Pandas–I -- Chapter 21: Pandas–II -- Appendix A: Problems for Practice: Programming Questions -- Appendix B: Answers to MCQS -- References -- Web Resources -- Index
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
Python is a robust, procedural, object-oriented, and functional language. The features of the language make it valuable for web development, game development, business, and scientific programming. This book deals with problem-solving and programming in Python. It concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems. In addition to standard Python topics, the book has extensive coverage of NumPy, data visualization, and Matplotlib. Numerous types of exercises, including theoretical, programming, and multiple-choice, reinforce the concepts covered in each chapter.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024)
Python (Computer program language).
COMPUTERS / General. bisacsh
Matplotlib.
NumPy.
Pandas.
algorithm.
business communication.
computer science.
engineering.
programming.
science.
EPUB 9781683928607
print 9781683928621
https://doi.org/10.1515/9781683928614
https://www.degruyter.com/isbn/9781683928614
Cover https://www.degruyter.com/document/cover/isbn/9781683928614/original
language English
format eBook
author Bhasin, Harsh,
Bhasin, Harsh,
spellingShingle Bhasin, Harsh,
Bhasin, Harsh,
Python Programming Using Problem Solving /
Frontmatter --
Contents --
Preface --
Section I: Algorithmic Problem-Solving and Python Fundamentals --
Chapter 1: Algorithmic Problem-Solving --
Chapter 2: Introduction to Python --
Chapter 3: Fundamentals --
Section II: Procedural Programming --
Chapter 4: Conditional Statements --
Chapter 5: Looping --
Chapter 6: Functions --
Chapter 7: File Handling --
Chapter 8: Lists, Tuple, and Dictionary --
Chapter 9: Iterations, Generators, and Comprehensions --
Chapter 10: Strings --
Section III: Object-Oriented Programming --
Chapter 11: Introduction to Object-Oriented Paradigm --
Chapter 12: Classes and Objects --
Chapter 13: Inheritance --
Chapter 14: Operator Overloading --
Chapter 15: Exception Handling --
Section IV: Numpy, Pandas, and Matplotlib --
Chapter 16: Numpy–I --
Chapter 17: Numpy–II --
Chapter 18: Data Visualization-I --
Chapter 19: Data Visualization–II --
Chapter 20: Pandas–I --
Chapter 21: Pandas–II --
Appendix A: Problems for Practice: Programming Questions --
Appendix B: Answers to MCQS --
References --
Web Resources --
Index
author_facet Bhasin, Harsh,
Bhasin, Harsh,
author_variant h b hb
h b hb
author_role VerfasserIn
VerfasserIn
author_sort Bhasin, Harsh,
title Python Programming Using Problem Solving /
title_full Python Programming Using Problem Solving / Harsh Bhasin.
title_fullStr Python Programming Using Problem Solving / Harsh Bhasin.
title_full_unstemmed Python Programming Using Problem Solving / Harsh Bhasin.
title_auth Python Programming Using Problem Solving /
title_alt Frontmatter --
Contents --
Preface --
Section I: Algorithmic Problem-Solving and Python Fundamentals --
Chapter 1: Algorithmic Problem-Solving --
Chapter 2: Introduction to Python --
Chapter 3: Fundamentals --
Section II: Procedural Programming --
Chapter 4: Conditional Statements --
Chapter 5: Looping --
Chapter 6: Functions --
Chapter 7: File Handling --
Chapter 8: Lists, Tuple, and Dictionary --
Chapter 9: Iterations, Generators, and Comprehensions --
Chapter 10: Strings --
Section III: Object-Oriented Programming --
Chapter 11: Introduction to Object-Oriented Paradigm --
Chapter 12: Classes and Objects --
Chapter 13: Inheritance --
Chapter 14: Operator Overloading --
Chapter 15: Exception Handling --
Section IV: Numpy, Pandas, and Matplotlib --
Chapter 16: Numpy–I --
Chapter 17: Numpy–II --
Chapter 18: Data Visualization-I --
Chapter 19: Data Visualization–II --
Chapter 20: Pandas–I --
Chapter 21: Pandas–II --
Appendix A: Problems for Practice: Programming Questions --
Appendix B: Answers to MCQS --
References --
Web Resources --
Index
title_new Python Programming Using Problem Solving /
title_sort python programming using problem solving /
publisher Mercury Learning and Information,
publishDate 2023
physical 1 online resource (574 p.)
Issued also in print.
contents Frontmatter --
Contents --
Preface --
Section I: Algorithmic Problem-Solving and Python Fundamentals --
Chapter 1: Algorithmic Problem-Solving --
Chapter 2: Introduction to Python --
Chapter 3: Fundamentals --
Section II: Procedural Programming --
Chapter 4: Conditional Statements --
Chapter 5: Looping --
Chapter 6: Functions --
Chapter 7: File Handling --
Chapter 8: Lists, Tuple, and Dictionary --
Chapter 9: Iterations, Generators, and Comprehensions --
Chapter 10: Strings --
Section III: Object-Oriented Programming --
Chapter 11: Introduction to Object-Oriented Paradigm --
Chapter 12: Classes and Objects --
Chapter 13: Inheritance --
Chapter 14: Operator Overloading --
Chapter 15: Exception Handling --
Section IV: Numpy, Pandas, and Matplotlib --
Chapter 16: Numpy–I --
Chapter 17: Numpy–II --
Chapter 18: Data Visualization-I --
Chapter 19: Data Visualization–II --
Chapter 20: Pandas–I --
Chapter 21: Pandas–II --
Appendix A: Problems for Practice: Programming Questions --
Appendix B: Answers to MCQS --
References --
Web Resources --
Index
isbn 9781683928614
9781683928607
9781683928621
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.73 P98
url https://doi.org/10.1515/9781683928614
https://www.degruyter.com/isbn/9781683928614
https://www.degruyter.com/document/cover/isbn/9781683928614/original
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 005 - Computer programming, programs & data
dewey-full 005.133
dewey-sort 15.133
dewey-raw 005.133
dewey-search 005.133
doi_str_mv 10.1515/9781683928614
work_keys_str_mv AT bhasinharsh pythonprogrammingusingproblemsolving
status_str n
ids_txt_mv (DE-B1597)658511
carrierType_str_mv cr
is_hierarchy_title Python Programming Using Problem Solving /
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