05-29-2024, 09:33 PM
[center]![[Image: w-Tz0-Kk-I4-Rxu9s-KGLt-Bg-AKA.png]](https://i.postimg.cc/dtTg4Z59/w-Tz0-Kk-I4-Rxu9s-KGLt-Bg-AKA.png)
Python For Loops and Iterables Deep Dive: Write Iterable Classes and Create Generator Functions and Expressions
Released 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21m | Size: 49 MB[/center]
This video aims to provide an understanding of Python's for loop.
The video will first introduce the concept of functions and their benefits, including improving code organization and increasing code reusability. It will cover how to structure code using functions, breaking it down into smaller, reusable, and self[1]contained blocks. Next we will create simple functions using the "def" keyword. The video will also demonstrate docstrings and function documentation to provide detailed explanations on what the function does, its inputs and outputs, and how it is used. This section will cover the details of function arguments, including positional and keyword arguments as well as default function arguments. We will examine how to use varying arguments to pass different amounts of arguments to a function, making it more changeable. We'll also learn how to get values back from functions, including multiple values. The video will also cover more important topics, such as using recursive functions to solve complex problems and lambda functions to create anonymous functions inline.
The video provides resources for continuing the learning journey with Python functions.
What You Will Learn
• How to structure code using functions, breaking it down into smaller, reusable, and self contained blocks
• How to create simple functions using the "def" keyword
• Understand function arguments, including positional and keyword arguments and default function arguments.
• How to use variable-length arguments to pass a varying number of arguments to a function, allowing functions to be more flexible.
Who This Video is For
This course is for beginner to intermediate Python developers who really want to understand how functions work and how to make the most of them.
Python For Loops and Iterables Deep Dive: Write Iterable Classes and Create Generator Functions and Expressions
Released 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21m | Size: 49 MB[/center]
This video aims to provide an understanding of Python's for loop.
The video will first introduce the concept of functions and their benefits, including improving code organization and increasing code reusability. It will cover how to structure code using functions, breaking it down into smaller, reusable, and self[1]contained blocks. Next we will create simple functions using the "def" keyword. The video will also demonstrate docstrings and function documentation to provide detailed explanations on what the function does, its inputs and outputs, and how it is used. This section will cover the details of function arguments, including positional and keyword arguments as well as default function arguments. We will examine how to use varying arguments to pass different amounts of arguments to a function, making it more changeable. We'll also learn how to get values back from functions, including multiple values. The video will also cover more important topics, such as using recursive functions to solve complex problems and lambda functions to create anonymous functions inline.
The video provides resources for continuing the learning journey with Python functions.
What You Will Learn
• How to structure code using functions, breaking it down into smaller, reusable, and self contained blocks
• How to create simple functions using the "def" keyword
• Understand function arguments, including positional and keyword arguments and default function arguments.
• How to use variable-length arguments to pass a varying number of arguments to a function, allowing functions to be more flexible.
Who This Video is For
This course is for beginner to intermediate Python developers who really want to understand how functions work and how to make the most of them.
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