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Average rating 5.0

Completed 42% of course

This is a lecture on how to diversify Python code and advanced features. I like the lecture structure, especially. I know that when it comes to programming, even if you execute the same function, the amount of resources consumed, such as execution time or memory, will vary depending on the code and algorithm. This is a lecture on introducing Python's advanced features and how to handle code features more efficiently. Please prepare before taking this lecture! You need basic knowledge of Python and some basic skills to apply it. Rather than blindly accepting the content in the lecture, I think that if you think about "Can't I implement the code in a different way?" from time to time and take this lecture, you will be able to increase your learning effect a little more.

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Programming for Us: Intermediate Python (Inflearn Original) thumbnail
inflearn

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49 lectures

·

38,360 students

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Programming for Us: Intermediate Python (Inflearn Original) thumbnail
inflearn

·

49 lectures

·

38,360 students