Python: numpy tutorial || 07
Time stamps of the numpy tutorial:
01:10 arrays
02:15 sequences
02:55 matrices
04:50 indexing & slicing
08:25 copy
09:10 newaxis
09:30 row bind & column bind
10:25 concatenate
13:05 split
14:30 repeat
14:55 vectorization
16:40 math operations
17:10 aggregation operations
19:10 missing values
19:45 boolean
21:30 if else / where
23:10 sort
23:40 unique values
24:30 set seed with default_rng()
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To know more about how to set random seed in Python you may refer to
Woodcock H., Stop using numpy.random.seed(), Towards Data Science, https://towardsdatascience.com/stop-u...
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Examples with numpy:
Write Functions in Python: find pairs that sum to target WITHOUT loop || 03
• Write Functions in Python: find pairs that...
Write Functions in Python: Fibonacci sequence | recursion vs for loop vs vectorization || 06
• Write Functions in Python: Fibonacci seque...
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