Python Memory Management and Tips Transcripts
Chapter: Welcome to the course
Lecture: Smaller and faster

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0:00 Now, when you think about memory management and making our code more memory efficient or
0:05 understanding how the garbage collector and reference counting works,
0:08 you might think this is to make our code use less memory. To make the memory
0:12 required smaller. But it also will have a side effect.
0:16 It will make our code faster.
0:18 Our code Python will have to do less garbage collection events, potentially is using less memory
0:24 so less swap space, maybe better cache management,
0:28 but also just some of the design patterns and some of the aspects of python that
0:32 are not frequently used but we're gonna bring into it will actually make our code quite
0:36 a bit faster for some really interesting use cases.
0:39 this is sort of a general performance thing with a concentrated focus on memory.