Programming with Python: And Its Applications to Physical Systems

Автор: literator от 28-06-2023, 21:17, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Programming with Python: And Its Applications to Physical SystemsНазвание: Programming with Python: And Its Applications to Physical Systems
Автор: M. Shubhakanta Singh
Издательство: CRC Press/Manakin Press
Год: 2024
Страниц: 363
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

This book is an introduction to Python Programming and provides a practical approach to the subject. The basic concepts of Python are explained in detail and augmented with examples and diagrams for a thorough understanding of the subject.

The book is primarily aimed at students with little or no prior knowledge of programming languages. However, self-taught and hobbyist programmers, scientists, engineers, computing professionals and computer scientists and others who need to program as part of their work may also use this book for understanding the basic concepts of Python.

Organization of this book:
The first part of the book is a preparation to embark on the journey of learning programming.

Chapter 1 presents the basics of programming languages, algorithms (the steps of sequences) and flowcharts (the pictorial representations of the algorithms) to understand the steps/concepts before starting to write programs with Python. It also explains how to install Python in different operating systems.

Chapter 2 introduces Python’s programming features, including its reserve keywords, identifiers, basic data types and important usages of backslash character constants.

Chapter 3 presents the Python’s operators, constants, assignments, and expressions. It also explains how to use comments in Python and difference between interactive mode and script mode in Python.

Chapter 4 shows how to read data from keyboard as input and display the processed data on the screen. The two powerful functions raw_input() and input() are explained with examples. Many functions for showing good appearance and clarity of the outputs are discussed with examples.

Chapter 5 introduces the concepts of decision making and branching, which enable changing of the order of execution of statements based on certain conditions.

Chapter 6 introduces the concepts of decision making and looping, also known as control structures, enabling to execute a program segment repeatedly based on certain conditions.

Chapter 7 presents the fundamental programming techniques with built-in-functions, user defined functions, Boolean functions, recursion functions and default arguments with examples.

Chapter 8 introduces Python’s new concept of List which can handle large number of variables or arrays and subscripted variables. The basics of how to create a list and many common operations of list that are frequently used are explained in detail with examples.

Chapter 9 shows Python’s Dictionary which enables fast retrieval, deletion and updating of the values by using the keys. The basics of how to create a dictionary, a set and common operations that are frequently used are explained with examples.

Chapter 10 presents Tuples including its important properties and common operations that are frequently used are explained in detail.

Chapter 11 introduces the concept of Files which is very necessary to have more flexible approach where data can be stored on the disks and read whenever necessary, without destroying the data. The important file operations which include naming, opening, reading, writing and closing a file are explained with examples.

Chapter 12 shows the applications of Python in physical systems. This chapter gives a brief introduction to Computational Physics and how it can be used in solving simple to complex physical systems with specific Python implementation.

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