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Mastering Python Lists: Explore List Comprehensions (Python Tutorial #19)
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Time Stamp:
00:00 --- Start Python List Comprehension
01:04 --- List Comprehension Example
03:52 --- Adding A Condition
06:18 --- Importing math & using for loop
08:35 --- Filter programming languages from a list
10:23 --- Classify numbers as even or odd
12:20 --- Using Lambda Function
Description:
🚀 Dive into the world of Python with Tutorial #19 on thesadiqali channel! 🐍 In this tutorial, we unravel the magic of list comprehensions in Python—a concise way to create lists. 📚✨
What is a List Comprehension?
A list comprehension is a nifty technique allowing you to construct lists effortlessly in Python. It's like a shortcut to create lists in a clear and efficient manner.
Syntax:
The syntax is straightforward: `expression for item in iterable`. It's a quick and readable way to create lists with conditions.
Advantages:
- Shorter code
- Readability
- Efficiency
Practical Examples:
- Create a list of cubic numbers
- Filter programming languages from a list
- Classify numbers as even or odd
GitHub Code:
Find the code on my GitHub for hands-on learning!
Like & Subscribe:
If you found this tutorial helpful, give it a thumbs up and subscribe for more Python goodness! 🌟
#PythonTutorial #ListComprehension #LearnPython #CodingForBeginners #ThesadiqaliChannel
00:00 --- Start Python List Comprehension
01:04 --- List Comprehension Example
03:52 --- Adding A Condition
06:18 --- Importing math & using for loop
08:35 --- Filter programming languages from a list
10:23 --- Classify numbers as even or odd
12:20 --- Using Lambda Function
Description:
🚀 Dive into the world of Python with Tutorial #19 on thesadiqali channel! 🐍 In this tutorial, we unravel the magic of list comprehensions in Python—a concise way to create lists. 📚✨
What is a List Comprehension?
A list comprehension is a nifty technique allowing you to construct lists effortlessly in Python. It's like a shortcut to create lists in a clear and efficient manner.
Syntax:
The syntax is straightforward: `expression for item in iterable`. It's a quick and readable way to create lists with conditions.
Advantages:
- Shorter code
- Readability
- Efficiency
Practical Examples:
- Create a list of cubic numbers
- Filter programming languages from a list
- Classify numbers as even or odd
GitHub Code:
Find the code on my GitHub for hands-on learning!
Like & Subscribe:
If you found this tutorial helpful, give it a thumbs up and subscribe for more Python goodness! 🌟
#PythonTutorial #ListComprehension #LearnPython #CodingForBeginners #ThesadiqaliChannel