Learning Python Language is a comprehensive ebook containing 206 chapters that covers a wide range of topics in Python programming. The first 25 chapters provide an overview of Python's history, installation, and basic features, as well as advanced topics such as abstract syntax trees, ArcPy for geographic data, and asyncio for asynchronous code. Other topics include arrays, bitwise and Boolean operators, classes and inheritance, command-line interfaces, collections, and comments and documentation. This ebook is suitable for both beginners and advanced learners who want to learn Python from scratch or improve their existing skills. It is available for free in PDF format, and offers a valuable resource for anyone interested in Python programming.
An overview of Learning Python Language
Are you interested in learning Python language from scratch or want to advance your skills? Look no further than this comprehensive guide. With 206 chapters covering everything from the basics to advanced topics, "Learning Python Language" is an essential resource for anyone looking to learn or improve their Python skills.
Whether you're a beginner or an experienced programmer, this ebook will guide you through the intricacies of the Python language. The first 25 chapters cover a wide range of topics, including getting started with Python, *args and **kwargs, abstract base classes, accessing Python source code and bytecode, and much more.
Chapter 1: Getting started with Python Language - This chapter provides an introduction to Python, including its history, installation, and basic features.
Chapter 2: *args and **kwargs - This chapter covers how to use *args and **kwargs to pass variable-length argument lists to functions.
Chapter 3: 2to3 tool - This chapter explains how to use the 2to3 tool to convert Python 2 code to Python 3.
Chapter 4: Abstract Base Classes (abc) - This chapter covers how to use abstract base classes to define and enforce interfaces in Python.
Chapter 5: Abstract syntax tree - This chapter explains what the abstract syntax tree (AST) is and how it can be used in Python.
Chapter 6: Accessing Python source code and bytecode - This chapter covers how to access Python source code and bytecode using various tools and techniques.
Chapter 7: Alternatives to switch statement from other languages - This chapter explores alternatives to the switch statement that is available in other programming languages.
Chapter 8: ArcPy - This chapter covers how to use the ArcPy module to work with geographic data in Python.
Chapter 9: Arrays - This chapter explains how to use arrays in Python and the differences between arrays and lists.
Chapter 10: Asyncio Module - This chapter covers the asyncio module, which provides an infrastructure for writing asynchronous code in Python.
Chapter 11: Attribute Access - This chapter explains how attribute access works in Python and how it can be used to control access to an object's attributes.
Chapter 12: Audio - This chapter covers how to work with audio files in Python using various modules.
Chapter 13: Basic Curses with Python - This chapter explains how to use the curses library to create text-based user interfaces in Python.
Chapter 14: Basic Input and Output - This chapter covers the basics of input and output in Python, including reading and writing files.
Chapter 15: Binary Data - This chapter explains how to work with binary data in Python, including reading and writing binary files.
Chapter 16: Bitwise Operators - This chapter covers how to use bitwise operators in Python to manipulate binary data.
Chapter 17: Boolean Operators - This chapter covers the Boolean operators in Python, including AND, OR, and NOT.
Chapter 18: Call Python from C# - This chapter explains how to call Python code from a C# program using the Python.NET library.
Chapter 19: Checking Path Existence and Permissions - This chapter covers how to check the existence and permissions of files and directories in Python.
Chapter 20: ChemPy - python package - This chapter covers how to use the ChemPy package to work with chemistry-related data in Python.
Chapter 21: Classes - This chapter covers the basics of classes in Python, including how to define classes, create instances, and use inheritance.
Chapter 22: CLI subcommands with precise help output - This chapter explains how to create command-line interface (CLI) subcommands with precise help output using the argparse module.
Chapter 23: Code blocks, execution frames, and namespaces - This chapter covers the concepts of code blocks, execution frames, and namespaces in Python.
Chapter 24: Collections module - This chapter covers the collections module, which provides specialized data structures in Python, such as named tuples and dequeues.
Chapter 25: Comments and Documentation - This chapter covers how to use comments and documentation in Python code to improve readability and maintainability.
For those just starting out, this ebook provides a solid foundation in the basics of Python, including syntax, data types, control structures, and functions. Each chapter is designed to be easy to follow and includes practical examples to help reinforce the concepts covered.
As you progress through the ebook, you'll learn about more advanced topics such as asynchronous programming, attribute access, binary data, and bitwise operators. These chapters are designed for more experienced programmers who are looking to take their Python skills to the next level.
One of the unique features of this ebook is the inclusion of several real-world examples, including using Python to work with audio, check file permissions, and even interact with chemistry packages through ChemPy. These examples help to demonstrate the practical applications of Python and how it can be used in a variety of industries.
In addition to the comprehensive coverage of Python, this ebook also includes practical tips and best practices for writing clean and efficient Python code. You'll learn how to use comments and documentation effectively, as well as how to organize your code into classes and modules.
Perhaps best of all, "Learning Python Language" is available as a free PDF download, making it accessible to anyone who wants to learn Python. Whether you're a student, hobbyist, or professional programmer, this ebook is an essential resource for mastering Python.
In conclusion, "Learning Python Language" is an invaluable resource for anyone looking to learn or improve their Python skills. With its comprehensive coverage, real-world examples, and practical tips, this ebook is a must-read for anyone interested in Python programming. So why wait? Download your free copy today and start learning Python!
| Description : | Learning Python Language is a free PDF ebook with 206 chapters covering Python programming for both beginners and advanced learners. |
| Level : | Beginners |
| Created : | March 30, 2019 |
| Size : | 3.74 MB |
| File type : | |
| Pages : | 1039 |
| Author : | Stack Overflow Documentation |
| Licence : | Creative commons |
| Downloads: | 13167 |
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