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Python 3: The Comprehensive Guide to Hands-On Python Programming (Rheinwerk Computing) Python 3: The Comprehensive Guide to Hands-On Python Programming (Rheinwerk Computing) Paperback Kindle

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Python 3: The Comprehensive Guide to Hands-On Python Programming (Rheinwerk Computing) Python 3: The Comprehensive Guide to Hands-On Python Programming (Rheinwerk Computing) Paperback Kindle

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Best Sellers Rank: #45,689 in Books (See Top 100 in Books) #13 in Enterprise Applications #15 in Computer Programming Languages #29 in Python Programming
Customer Reviews: 4.7 out of 5 stars 155Reviews

Product Information

From the Publisher

Python 3: The Comprehensive Guide to Hands-On Python Programming

Your all-in-one guide to Python!

Gold winner of the 2023 IBPA Benjamin Franklin Award for excellence in professional and technical publishing!

Python: a modern language for a modern world!

Python is one of the most popular programming languages in the world—consistently ranking at the top of the TIOBE programming community index. Its popularity is no surprise: Python is easy to learn, elegant, and powerful. It offers many possibilities and is used in popular technologies like the Raspberry Pi and computer games like Minecraft. In addition, Python is the ideal introduction to the field of artificial intelligence and machine learning.

This award-winningcomprehensive Python compendium familiarizes you with basic and advanced techniques so that you have a good foundation for your professional Python projects. Whether you are just starting out with Python or already have programming experience, you will find that this book provides the knowledge you need to properly apply the concepts and tools of Python 3 in your day-to-day work.

This book introduces Python systematically: you’ll begin by creating simple programs and then gradually progress to working with complex language elements and advanced programming techniques.

The focus is on practice: with this book, you’ll quickly learn how to develop your own Python programs. If you’re working with older Python projects, you’ll learn how to make them run under Python 3 using tips for migrating from Python 2.x to Python 3.

Functions, methods, and object orientation
Data types
GUIs
Debugging
Network communication
Modularization
Iterators and generators
Exception handling

Inside the book:

Get a complete introduction to the Python language, from its syntax and structure to its functions, modules, and object orientation. Work through the first two parts of the book, which will help you build and test your own programs. If you’re already an experienced programmer and want to use this book as a transition from another language to Python, you’ll find the introduction to Python’s syntax helpful. Depending on your skill level, you can then dive into the more advanced topics. Or, if working with Python is already part of your everyday business, you can use this book as a helpful desktop reference for specific applications.

This book includes:

More than 1,000 pages of Python knowledge from leading experts
Topics that build from basic to advanced
Easy-to-read text with clear code listings
Language references and a detailed description of the standard library
Numerous sample programs for download
A comprehensive index

Meet the authors:

Johannes Ernesti is research scientist at DeepL. He is a graduate mathematician and received his doctorate in applied mathematics from the Karlsruhe Institute of Technology (KIT).

Peter Kaiser is a research scientist at DeepL. He has a degree in computer science and received a doctorate in humanoid robotics from the Karlsruhe Institute of Technology (KIT).

	Getting Started with Python	Generative AI with Python	Programming Neural Networks with Python	Python for Engineering and Scientific Computing	JavaScript: The Comprehensive Guide

Customer Reviews	6	—	—	13	110
Price	$33.94	$51.44	$47.45	$59.95	$39.21
What is it? (What does it teach)	A beginner’s guide to Python!	Develop your own gen AI applications with Python!	Your practical introduction to programming neural networks!	Your hands-on guide to using Python for scientific computing!	A comprehensive guide to JavaScript!
What you'll learn?	Learn the fundamentals of Python programming—from variables and loops to functions and modules—and apply your skills to build applications, databases, and graphical user interfaces.	Learn to to work with pretrained LLM and NLP models on Hugging Face and LangChain, create vector databases, implement retrieval-augmented generation, and add agentic systems using frameworks like crewAI and AutoGen.	Learn to program, train, and optimize neural networks using Python, covering key concepts like algorithms, activation functions, and transfer learning, while providing a practical introduction to AI, machine learning, and deep learning.	Master Python for engineering and science with hands-on exercises. Learn to use NumPy, SymPy, and Matplotlib for calculations, simulations, and data analysis.	Master core concepts, build dynamic web applications, and explore server-side and mobile development.
Who is this book for?	Professional programmers without prior experience in Python.	Python developers	Developers, data analysts, and engineers	Students, professional engineers, and scientists without any background in programming or Python.	Web developers using JavaScript for frontend and backend programming.
Key Features?	Bite-sized exercises, a continuous game project, and downloadable code examples.	Step-by-step instructions and detailed listings, with downloadable code examples.	Step-by-step instructions, color diagrams, code listings, sample applications, and downloadable projects for hands-on experimentation.	Detailed sample code, diagrams, and screenshots. Downloadable programs and source code are also provided.	Step-by-step instructions and downloadable source code available.
Level of difficulty?	Designed for beginners with no prior Python experience, this book teaches how to use the language to develop simple applications.	Python programming is a prerequisite for this book because the language is central to most AI systems.	This book caters to both beginners with a crash course in Python and mathematical concepts, and more advanced readers eager to start programming neural networks.	The book assumes that readers can work with computers proficiently and have mastered the technical science of their field.	Provide readers with entry level concepts to advanced topics.

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