Python 3: The Comprehensive Guide to Hands-On Python Programming
- 14h 54m
- Johannes Ernesti, Peter Kaiser
- Rheinwerk Publishing Inc.
- 2022
Ready to master Python? Learn to write effective code with this award-winning comprehensive guide, whether you’re a beginner or a professional programmer. Review core Python concepts, including functions, modularization, and object orientation, and walk through the available data types. Then dive into more advanced topics, such as using Django and working with GUIs. With plenty of code examples throughout, this hands-on reference guide has everything you need to become proficient in Python!
- The complete Python 3 handbook
- Learn basic Python principles and work with functions, methods, data types, and more
- Walk through GUIs, network programming, debugging, optimization, and other advanced topics
- Download and consult practical code examples
In this book, you’ll learn about:
1. Coding with Python
Learn about Python syntax and structure! Follow examples to start developing and testing your own programs using downloadable code.
2. The Standard Library
Explore Python’s built-in library and see how it can be used for a variety of different tasks, from running your mathematical functions to debugging your code.
3. Advanced Programming Techniques
Already know the basics? Enhance your professional skills with more advanced concepts, including GUIs, Django, scientific computing, and connecting to other languages.
About the Author
Johannes Ernesti is a 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).
In this Book
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Introduction
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The Python Programming Language
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Getting Started with the Interactive Mode
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The Path to the First Program
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Control Structures
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Files
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The Data Model
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Functions, Methods, and Attributes
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Sources of Information on Python
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Basic Data Types: An Overview
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Numeric Data Types
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Sequential Data Types
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Mappings and Sets
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Collections
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Date and Time
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Enumerations and Flags
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Functions
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Modules and Packages
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Object-Oriented Programming
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Exception Handling
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Generators and Iterators
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Context Manager
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Decorators
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Annotations for Static Type Checking
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Structural Pattern Matching
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Mathematics
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Screen Outputs and Logging
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Regular Expressions
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Interface to Operating System and Runtime Environment
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File System
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Parallel Programming
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Data Storage
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Network Communication
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Accessing Resources on the Internet
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Email
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Debugging and Quality Assurance
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Documentation
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Distributing Python Projects
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Virtual Environments
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Alternative Interpreters and Compilers
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Graphical User Interfaces
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Python as a Server-Side Programming Language on the Web: An Introduction to Django
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Scientific Computing and Data Science
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Inside Knowledge
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From Python 2 to Python 3
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Service Pages
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Legal Notes
