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Название: Python Programming Using Problem Solving
Автор: Harsh Bhasin
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 601
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.4 MB, 10.1 MB

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.

This book deals with problem-solving and programming in Python. Programming is the soul of Computer Science, and designing a program requires involved expertise of the paradigms, along with the ability to use the standard procedures. To become a virtuous programmer one must, therefore, not only learn the syntax of the language but also develop an ability to apply the mastered concepts to solve problems. It may be stated here that a programming language and its syntax learned by a professional is of no use until the algorithms that are to be implemented have been well designed. Thus, a basic knowledge of data structures and algorithms is also essential. This is the reason that the first section of this book has been dedicated to problem-solving. One of the most important goals of the book is to make the readers understand Python’s discriminative features. The ability of Python to deal with multi-dimensional arrays via NumPy has been included. Python also helps in visualization via matplotlib. The topic has also been presented in section IV.

Features:

Concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems
Features both standard Python topics and also extensive coverage of NumPy, data visualization, and Matplotlib problem-solving techniques












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