17 Python range() Function Tricks every Programmer should know!
Hello, Pythoneer!
Welcome to 17 Things You Need to Know About Python Range Function.
In this video, we'll explore 3 groups of essential range techniques, from basic operations to advanced range operations.
You'll learn powerful methods like slicing functions, efficiency impacts, and efficient ways to manipulate data.
By the end of it, you'll have practical tools and knowledge to level up your Python skills. Let's not waste any time and dive right in! We'll wrap up with a helpful summary to reinforce what you've learned.
Here are the topics in the video.
1) Basic loop
2) Generating a list
3) Iterating over a string using indices
4) Pairing indices with list elements
5) Count down from 10 to 1
6) Memory Efficiency
7) Simulating a floating-point range
8) Using NumPy for floating-point ranges
9) Range as a sequence
10) Slicing a range
11) Membership Testing
12) Compatibility with len()
13) Slicing with steps
14) Empty Ranges
15) Iterating Over range in Reverse
16) Converting to List Unnecessarily
17) Performance Considerations
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⏰ Chapters
00:00 Intro
00:25 Basics
01:35 Core Use Cases
03:13 Advanced Features
05:51 Uncommon/ Unknown Features
#range #coding #programming #python #pythonprogramming
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