M.S.Ramkarthik,Pranay Barkataki
An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing
An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing
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- More about An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing
This package includes over 104 codes in OOPs Python, designed for both beginner and advanced users, with detailed explanations and mathematical comments for clarity.
Format: Hardback
Length: 252 pages
Publication date: 01 August 2022
Publisher: Taylor & Francis Ltd
Here is the rephrased text:
Python OOPs is a comprehensive and user-friendly coding guide that offers a wide range of codes for various applications. Whether you're a beginner or an advanced user, this book provides you with the necessary tools and knowledge to excel in Python programming.
One of the key features of Python OOPs is its extensive coverage of over 104 codes. These codes are designed to be versatile and can be used as standalone programs or seamlessly integrated into any other main program. The authors have carefully considered the needs of both beginner and advanced users, ensuring that each parameter in the input, output, and execution is well-explained and user-friendly.
Furthermore, the book goes beyond just providing code snippets. Each program's output is thoroughly explained with detailed examples, making it easier for readers to understand and apply the concepts learned. The mathematical commenting done alongside the code enhances clarity about the flow and working of the code, making it accessible to a wide range of readers.
Whether you're interested in developing web applications, creating games, or automating tasks, Python OOPs has you covered. With its comprehensive and easy-to-follow approach, this book is an invaluable resource for anyone looking to master Python programming.
So, if you're ready to take your Python skills to the next level, don't hesitate to pick up a copy of Python OOPs. With its extensive coverage, detailed explanations, and user-friendly format, it's the perfect guide for anyone looking to explore the world of object-oriented programming in Python.
Dimension: 254 x 178 (mm)
ISBN-13: 9781032256078
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