MASTERING PYTHON

Python is an interactive programming language. Because of its high readability, it is frequently the first language learned by new programmers. Python, being multi-paradigm, can be used to accomplish the same thing in various ways and is platform-independent. Even if you enjoy writing Python code, writing code that is efficient, easy to maintain, and reused is more difficult. This book is a trusted resource that will teach you new advanced methods in a clear and contextualized manner. It begins by using venv to create a project-specific environment, then introduces you to different Pythonic syntax and common pitfalls before moving on to cover Python’s functional features. It explains how to create various decorators, generators, and metaclasses. It also explains the concepts of functools. wraps and coroutines. You will later learn how to use the asyncio module for asynchronous clients and servers. You will also become acquainted with various testing systems such as py.test, doctest, and unittest, as well as debugging tools such as the Python debugger and faulthandler. You’ll discover how to optimize application performance so that it runs smoothly across multiple machines and Python versions. Finally, it will show you how to use a simple Python call to access C functions. You will be able to write more advanced scripts and take on larger challenges by the end of the book.

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Functions of Mastering Python

Python’s strength lies in its ability to create and use functions effectively. Python functions not only improve code organization and reusability, but also enable modular and efficient programming. In this blog, we will look at the basics of Python functions, delving into their various types, and providing practical examples to help you master this important concept.

1. Function Definition and Invocation: The def keyword, followed by the function name, parentheses, and a colon, is used to define a function in Python.

2. Arguments and Parameters: Parameters are placeholders for values passed during function calls that can be accepted by functions.

3. Statement of Return: The return statement can also be used by functions to return values. 

4. Default Arguments: Python provides the ability to define default values for function parameters.


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