NumPy Tutorial Part - 1 | NumPy Array | Python NumPy Tutorial Part -1| Python Tutorial | Simplilearn

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This NumPy tutorial will help you understand all about NumPy. Here you will see what is NumPy, what is NumPy array, NumPy array vs Python list, and how to find the size & shape of an array to name a few. Now, let us get started and understand what NumPy actually is.

The below topics are explained in this Python NumPy Tutorial Part - 1:

1. What is NumPy? (00:40)
2. Installing and importing NumPy (02:30)
3. NumPy array (03:18)
4. NumPy array vs Python list (05:26)
5. Basics of NumPy (06:05)
6. Finding the size and shape of an array
7. Range and arrange functions
8. NumPy string functions

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Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

SimplilearnOfficial
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Thanks for the tutorial. A better mic would make for better tutorials :) One observation when comparing the results from #19 to #20 at 14:30 you are not printing both so the time comparison is apples to oranges.

virtualhermit
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Please try to zoom into jupyter notebook so that shall be convenient when watching in mobile phone...good video though..

questforprogramming
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Please do a similar video on pandas as well ... will be very helpful

ashutoshkumar
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Font little smaller for mobile, but content is well thought

VikasGuptacherie
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what is the meaning of zip that is used in the for loop ?

tamalmajumder
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There is a Problem ! When I tried the 1st program (that checks the time of execution) with same instructions, the program with normal Lists worked 10 times faster than that with Numpy array..
.. Pls Check.

The_Bharati
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very nice video
please would you make a detailed video on slicing ?

muhammadnajamulislam
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please make one detailed video dictionary datatypes-like list video

Immortalfuntech
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Hello. What are the minimum computer requirements for working with pandas and numpy ??? Please tell me.

aidenstill
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it is disappointing that you didn't zoom so that we could see your screen.

markkustelski