Название: Coding Examples from Simple to Complex: Applications in PythonАвтор: Paul A. Gagniuc
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2024
Страниц: 240
Язык: английский
Формат: pdf (true), epub
Размер: 83.9 MB
This book provides a comprehensive guide to Python, which stands as the cornerstone of modern programming and is the main computer language driving software prototyping in both industry and research. The author introduces readers to the rich world of Python, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient Python developer or scientist. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of Python. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the Python full potential in their respective projects. From the basics of variable naming and program structure to complex matrix operations, recursion, and object-oriented programming, this book covers it all. This book is part of a series of works designed to present both the examples and their explanations in various computer languages, as close to a mirror version as possible.
The chosen language is Python, most probably one of the most popular programming languages nowadays. While most learning institutions introduce programming languages using the Python language, readers will benefit the wealth of the examples in this book, as well as from being exposed to more advanced programming techniques.
The structure is well-thought, starting with traditional starting points in variable declaration, expressions, control statements, lists (arrays), and functions and continuing with objects and advanced techniques. The author focuses on imperative programming techniques, more suitable for beginners, however, treating also functional programming and object-oriented programming in the respective chapters. The examples support the chapters in a logical succession, one advantage being that a simplified solution is shown before an optimized one, useful for a deeper understanding of the problem.
The book continues with the moderate examples section, in which more real-world usages are shown, ranging from topics such as string manipulation, more advanced matrix operations, sorting algorithms, bitwise operations and encodings, and statistics. As examples are implemented without the use of other libraries except the standard library, they are of great teaching value, in helping practitioners truly understand the inner workings of concepts.
Where the book is of interest to more advanced developers or researchers in different fields is in the complex examples section, covering novel, state-of-the-art algorithms such as spectral forest or complex usage of Markov Chains, an area in which the author is a renowned expert.
Python is highly regarded for its simplicity, readability, and versatility, making it a popular choice for server-side (back-end) web development, data analysis, Artificial Intelligence, and scientific computing. This book presents a comprehensive guide to Python, offering an exploration from fundamental concepts to advanced programming techniques. This work is designed for readers ranging from beginners to experienced developers and scientists, aiming to equip them with a thorough understanding of Python’s capabilities.
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