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PYTHON PROGRAMMING USING PROBLEM SOLVING
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.
FeaturesConcentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problemsFeatures both standard Python topics and also extensive coverage of NumPy, data visualization, and Matplotlib problem-solving techniques Table of Contents
Section I. Algorithmic Problem-Solving and Python Fundamentals. 1: Algorithmic Problem-Solving.
2: Introduction To Python. 3: Fundamentals. Section II. Procedural Programming. 4: Conditional Statements.
5: Looping. 6: Functions 7: File Handling 8: Lists, Tuples, and Dictionary. 9: Iterations, Generators, and Comprehensions. 10: Strings. Section Object-Oriented Programming. 11: Introduction to the Object-Oriented Paradigm. 12: Classes and Objects 13: Inheritance. 14: Operator Exception Handling. Section NumPy, Pandas, and Matplotlib. 16: NumPy–I. 17: NumPy–II. 18: Data Visualization-I. 19: Data Visualization–II.
20: Pandas–I. 21: Pandas-II. Appendices. A. Problems For Programming Questions. B. Answers to Multiple Choice Questions. References. Web Resources. Index.
About the Author
Harsh Bhasin, PhD is a machine learning consultant who has taught numerous university level courses and has written several books in the area of computer science, including Programming in C# and also Design and Analysis of Algorithms (both Oxford University Press).
FeaturesConcentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problemsFeatures both standard Python topics and also extensive coverage of NumPy, data visualization, and Matplotlib problem-solving techniques Table of Contents
Section I. Algorithmic Problem-Solving and Python Fundamentals. 1: Algorithmic Problem-Solving.
2: Introduction To Python. 3: Fundamentals. Section II. Procedural Programming. 4: Conditional Statements.
5: Looping. 6: Functions 7: File Handling 8: Lists, Tuples, and Dictionary. 9: Iterations, Generators, and Comprehensions. 10: Strings. Section Object-Oriented Programming. 11: Introduction to the Object-Oriented Paradigm. 12: Classes and Objects 13: Inheritance. 14: Operator Exception Handling. Section NumPy, Pandas, and Matplotlib. 16: NumPy–I. 17: NumPy–II. 18: Data Visualization-I. 19: Data Visualization–II.
20: Pandas–I. 21: Pandas-II. Appendices. A. Problems For Programming Questions. B. Answers to Multiple Choice Questions. References. Web Resources. Index.
About the Author
Harsh Bhasin, PhD is a machine learning consultant who has taught numerous university level courses and has written several books in the area of computer science, including Programming in C# and also Design and Analysis of Algorithms (both Oxford University Press).
945 pages, Kindle Edition
Published July 25, 2023
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