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Understanding Python List Comprehensions (Summary)
Whenever you have to choose a list creation method, try multiple implementations and consider what’s easiest to read and understand in your specific scenario. If performance is important, then you can use profiling tools to give you actionable data instead of relying on hunches or guesses about what works the best.
In this course, you learned how to:
- Simplify loops and
map()calls with declarative list comprehensions - Supercharge your comprehensions with conditional logic
- Create set and dictionary comprehensions
- Determine when code clarity or performance dictates an alternative approach
Remember that while Python list comprehensions get a lot of attention, your intuition and ability to use data when it counts will help you write clean code that serves the task at hand. This, ultimately, is the key to making your code Pythonic!
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.
00:00 In this tutorial, you learned how to use a list comprehension in Python to accomplish complex tasks without making your code overly complicated. So, now you know how to simplify loops and map calls with declarative list comprehensions, supercharge your comprehensions with conditional logic, create sets and dictionary comprehensions, and finally, determine when code clarity or performance dictates an alternative approach. Whenever you have to choose a list creation method, try multiple implementations and consider what’s easiest to read and understand in your specific scenario. If performance is important, then you can use profiling tools to give you actionable data instead of relying on hunches or guesses about what works best.
00:44 Remember that while Python list comprehensions get a lot of attention, your intuition and ability to use data when it counts will help you write clean code that serves the task at hand.
00:56 This, ultimately, is the key to making your code Pythonic.
01:01 So, that just about wraps up this tutorial! I really hope you enjoyed it, and thanks so much for watching.
Christian Breiholz on June 19, 2021
Really helpful. When I first list comprehensions, I was a bit overwhelmed. This tutorial made it clear!
MAStough on Jan. 14, 2022
Nice brief introduction. Coupling this with the written article allowed me to pratice over in a Thonny file. I even picked up something beyond LC…timeit module! Thanks.
David S on Feb. 22, 2022
I really appreciated the clear examples and emphasis on readability!
rwelk on Feb. 13, 2024
Much information to take in on first viewing. I will do the reading then retake this lesson.Being relatively new to Python it take more time for the light bulb to turn on. I enjoyed the video.
akhilu15 on July 7, 2024
Good tutorial. Not only covers list comprehension but also compares with other alternatives.
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Alan ODannel on April 7, 2021
Nice course, informative and flowed at a good pace. I had an understanding on Comprehensions, this course introduced concepts that I was not aware of. Thank you.