Session 13 - Numpy Fundamentals | Data Science Mentorship Program (DSMP) 2022-23 | Free Session

Data Science Mentorship Program (DSMP) 2022-23

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Time Stamp
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0:00 Start
3:07 Week Plan
6:20 Session-13 Start
7:04 NumPy Theory
📝Creating Arrays
16:58 Creating NumPy Array. np.Array()
20:46 Creating NumPy Array with Data Type
23:29 Creating NumPy Array using np.Arange() and .reshape()
33:00 Creating Arrays summary

36:55 📝 NumPy Array Attributes
37:55 ndim
38:50 shape
40:44 size
41:31 itemsize
43:46 dtype
45:16 Doubts
47:43 Changing Datatype - astype
52:20 Array Operations
53:20 Scalar Operation
55:58 Vector Operation

59:08 📝NumPy Array Functions
1:00:52 Max/Min/Sum/Prod
1:03:49 Mean, Median, Standard Deviation, Variance, Trigo
1:05:19 Arrays Dot Product
1:08:44 Log and Exp function
1:09:16 Round, Floor, Ceil
1:13:48 Indexing Slicing
1:41:50 Iteration on NumPy Array
1:46:24 Reshaping - Transpose, Ravel
1:49:55 Stacking - vstack, hstack
1:54:22 Splitting - hsplit, vsplit
1:58:36 Session Fast Recap

[Mohitkumar-unix]

After finding your video, I realized that I have wasted my dad's hard earned money on a local coaching centre course and that course is not even 50% of your course level, thank you so much

[Sam-BOT]

I had watched lots of lectures from very different teachers but i found you are the only one teacher who gives his true of love❤

[jinks]

Bhagwaan aap jaise teachers sabko dien.
YOU PERSONIFY THE CONCEPT OF GURU WE USED TO HAVE IN VEDIC CULTURE.

[yashsaxena]

Great session as always! There is an error at 01:02:32. You mentioned axis=0 means columns and axis=1 means rows. However, in the documentation, it mentions axis=0 means rows and axis=1 means columns. But the behavior of some functions such as min, max, sum, mean, std, var doesn't follow the convention of documentation. The reason for that is: the default behavior of these methods is to calculate these values for each column. This is because the columns are the features or variables in the dataset, and it is often more useful to know these values for each feature than these values for each row. But if you see other functions such as np.append or np.unique, here axis=0 indeed means rows. Besides, in pandas we always use index as axis=0 and columns as axis=1. Thought to point this out! Again great lecture though!

[NabidAlam]

I have seen no one explaining in details like you. You are the best teacher a student can have in their journey!

[abdulhannan-gohl]

sir Kamal effort put ki ap nay...!! thank you very, very much for putting effort to teach us such complex concepts in a simple manner 😍😍

[lakshityagi]

Brilliant explanation!! Thankyou so much

[dhananjayyeole]

Sir,
The class was interesting and highly knowledgeable.
Thank You Sir.

[mahamjabbar]

I have never watched a 2 hour video in one go but it was very interesting. Thank you so much sir.❤

[rohantalaviya]

really good teaching sir, thank you making this video.

[deepakx._]

thank you so much sir for your effort😊

[qunysmo]

Thankyou so much really all vidoes like course

[rohinisingh]

Very nice lecture... thanks for uploading it . 😊 Sir

[krupal_patel]

Thank you Gujuji🎉 for a one of the best explanation of numpy lib.😊

[lokeshagarwal]

very explainatory very niec... Really under rated channel

[flakky]

1:39:55 sir sare questions khud se krr liye
(idk khud pe proud feel ho rha tha 😅🥲, Im in FY now)

[vikgueh]

Thanks alot for this amazing video on numpy

[NishantKumar-ujiu]

thanks sir, i learn alot from you videos and still learning

[maitreyamoharil]

BEST VIDEO ON NUMPY ON WHOLE YOUTUBE ! RESPECT++ TO YOUR EFFORDS SIR

[arindamInsightFullMath]

What a explanation no words just hats off ❤❤