Tutorial 4 - Numpy and Inbuilt Functions Tutorial

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Hello All,
Welcome to the Python Crash Course. In this video we will see about numpy library

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Thank you soo much Krish. I am recommending your channel to all my friends. I really like your genuine teaching passion. I learn a lot from all your videos. Thanks for being a mentor.

parththakurdesai
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Q1-If I pick up 4, 5 from 2nd row
And 6, 8 from third row than In. is
Arr[1:, 2:4]
Q2-Pick up 3, 4, 5 from 2nd row than
In. is Arr[1:2, 1:4]
Thank you so much sir.

manojsupyal
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Hello Krish, I am obliged to take time and express my gratitude towards your efforts and teaching method. I am watching your tutorials since yesterday, and I just so happy to learn and actually understand everything. I am looking forward to follow the playlist, and excited to learn. Thanks man, you deserve our respect and the money as well, I will be joining your membership.
I will request all the people who are reading my comment to consider joining the membership to help him grow❣

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Absolutely great content being put here by this man. I wish there were more teachers like him across different domains. What a stupendous job he is doing here.

mule
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I never thought understanding the prerequisite of machine learning is that much easy and Krish sir you make it alot easier.

farazahmed
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Hi Krish, Python is made so simple to learn from you. Always had difficulty in understanding and remembering from other tutors. Never felt it so easy and enjoyable to learn. Thank you for your efforts.

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sathiyaraj
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Bro! You're helping us all a lot! Proud of you!
An Indian teaching everything in depth. Thanks so so much. Keep up the good work. Looking forward to pandas tutorial too. 🤘🏻🤘🏻🤘🏻

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zahabiyarangwala
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arr[1:3, 2:4] = array([[4, 5],
[6, 8]]) Thank you Krish! I am following your path to become a Data scientist

lauraprado
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EAGERLY EXPECTING Scikit learn and PLOTLY tutorials. No one has taught about Plotly... If you make this it would be great....

gulabmeetyou
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For the subarray 4, 5, 6, 8 code is:
arr[1:, 2: 4]
For the subarray 3, 4, 5 code is:
arr[1, 1: 4].
I started your session, sir, really your contents are truly valuable. Thanks for making this all happen. I wanna learn as best as possible about the concept of Machine Learning.
Really glad that I found your channel at the time when I was in its complete need.
Thank you soo much, sir

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bishalgupta
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Thank you Krish Naik for teaching us by this much of patience. You have cleared so many of my doubts.

ravikhandsiya
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His explanation is clear and everything is practical.

farazahmed
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For accessing 4, 5, 6, 8 answer is arr[1:, 2:4] and for accessing 3, 4, 5 answer will be arr[1:2, 1:4]

xeno_plays
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Following are taught in video:
-Array definition
- Numpy library import
- Array Shape and Reshape
- Array indexing
- Array Range
- Array linspace
- Array copy and broadcasting
- some functions in Array like np.ones, np.random.rand (random distribution), np.random.randn (normal distribution), np.random.randint etc.

BHANU
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Goat of Python bro, learned 3 months work in 3 lectures.

shreyshah
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*Numpy *Array
1.Creating One Dimensional array.
2.Creating Two Dimensional array.
3.Shape, reshape and indexing(slicing) done in two dimensional.
4.In-built function present in numpy- arange, linspace, ones, random.(and more)
5.Concept of copy and Exploratory data analysis
Please share the list built-in functions of numpy. Thanks

sharvandas
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thank you again....i gonna finish your amazing course in a week

arandomwho