Python Pandas Tutorial | Pandas For Data Analysis | Python Pandas | Python Tutorial | Simplilearn

Python Pandas Tutorial | Pandas For Data Analysis | Python Pandas | Python Tutorial | Simplilearn

Simplilearn

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Srinikash Venki
Srinikash Venki - 09.08.2022 20:44

The tutorial is very well structured and easy to learn. This has helped me so much! Liked!

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Pinyi Chang
Pinyi Chang - 26.07.2022 06:39

good

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Atabak rezghi
Atabak rezghi - 02.04.2022 11:29

that was very cool and organized and simple to learn .thank you for this

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رادین دولتی
رادین دولتی - 28.02.2022 15:36

this course was wonderful !💙

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Richmond Baye
Richmond Baye - 05.02.2022 21:33

Love IT love IT, lOVE It. Great explanation and straight to the point. thank you so much.

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AMEYA BIRHARDE21
AMEYA BIRHARDE21 - 17.09.2021 00:37

I'm here after Edureka. Simplilearn Pandas tutorial is better than Edureka.

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SHASHANK S
SHASHANK S - 08.06.2021 20:58

It was informative, enjoyed a lot. But one request can you please share those codes what you did there? It might help us for reference

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Pritam Samanta
Pritam Samanta - 02.06.2021 07:57

Is it possible to get the ipynb notebook that this video describes about the whole pandas tutorial. It would be really helpful.

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PSR
PSR - 26.05.2021 14:48

Tutorial is very clear and understandable... Thank you 👍

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what the hell is this
what the hell is this - 19.05.2021 13:46

python is such a easy and convenient powerful tool compared with c++

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Petra Moyle
Petra Moyle - 28.03.2021 12:12

What a great tutorial!! Thank you!! Is there any pdf or any written reference for this video by any chance? It would be so helpful. Thanks.

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YASHWANTH PALADUGU
YASHWANTH PALADUGU - 14.01.2021 21:30

hey i dont know why i cant get those graphs when i use my jupyter notebook its showing some error and i actually use jupyter notebook from vscode does that effect??? and the rest the video was soo good thank you

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Amila
Amila - 20.12.2020 11:57

a clear explained super pandas tutorial.thanks a lot

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Letz_positive
Letz_positive - 16.09.2020 00:18

If we have 4 columns like [week, fruits, vegetables, flowers], how to create a dataframe like df['fruits'] where week==36

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Xinjie Tang
Xinjie Tang - 16.08.2020 09:06

Best and most clear videos about basics for pandas dataframe

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Marwa A.
Marwa A. - 09.08.2020 22:52

simplilearn is one of my best tutorials videos ever .. Thank you

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Retrozamana
Retrozamana - 08.08.2020 09:00

Didn't quite understand the shift function can you elaborate it more

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Rajeev Swargiary
Rajeev Swargiary - 03.08.2020 06:12

Very effective training

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Vipparthi Vijaya babu
Vipparthi Vijaya babu - 23.07.2020 12:12

i wanna know about UI developer course from urs

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Rupesh chauhan
Rupesh chauhan - 19.07.2020 17:41

can i get this ipynb file????????????????????????????????????????????????????//

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Ajay Kumar
Ajay Kumar - 15.07.2020 17:55

Excellent!!! I am first time learning the Panda and you explained it very well. Thanks

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Mukul Negi
Mukul Negi - 13.07.2020 20:37

I liked your video

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Amal S
Amal S - 12.07.2020 22:25

Excellent course.....Thankyou.

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Sunit Kamble
Sunit Kamble - 28.06.2020 10:29

NameError Traceback (most recent call last)
<ipython-input-53-25144473d6b7> in <module>
----> 1 s6 = pd.Series(arr1)
2 s6

NameError: name 'arr1' is not defined
it showing not defined? may I know what it is

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Roland Hernandez
Roland Hernandez - 27.06.2020 02:14

Focus was terrible...

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sai sahas
sai sahas - 24.06.2020 01:25

how to replace all values in column with NAN

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Suheb Papa
Suheb Papa - 08.06.2020 10:01

Great video...
I apriciate it

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xsangrezulx
xsangrezulx - 02.06.2020 01:55

Very helpful! You really need to get a mic tho.

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Ashish Lakhade
Ashish Lakhade - 11.05.2020 09:34

very nice tutorial ,well explained

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Anil Kumar Bhagat
Anil Kumar Bhagat - 06.05.2020 08:24

Best tutorial on pandas..was looking for such a tutorial only :):):)

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arjun
arjun - 02.05.2020 11:54

Thnx a lot

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islamiya Zindagi
islamiya Zindagi - 19.04.2020 16:31

Sir how to give path to read csv files?
pd.read_csv()??
I was giving path as below but it was too long so I was getting error
what should I do?




df = pd.read_csv("C:\Users\Dell Pc\Desktop\Kamar@\Atos syntel study\Training\Python for Data Analysis L1/dataloan.csv")

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David Myers
David Myers - 18.04.2020 14:19

Hi great video. You say around 48 min mark that you've played around with stock market dataframes, do you have any videos on that. Thanks

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Roman Olsen
Roman Olsen - 06.04.2020 08:29

numpee :(

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Yizhu Jiang
Yizhu Jiang - 19.02.2020 00:57

Great tutorial! Very helpful indeed

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Akash Kishore Mukhia
Akash Kishore Mukhia - 01.02.2020 11:22

Can you provide me the file that you use to teach please?

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Xi The Pooh
Xi The Pooh - 18.01.2020 09:22

helpful but expected better sound quality!!

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Bellissimo
Bellissimo - 30.12.2019 21:59

Amazing and nicely explained video. I have one question, where do I keep any csv file for pandas to read? I have Jupyter running in my laptop but I am not sure where do I keep any csv file which is downloaded from internet. Kindly help.

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Маркус Германикус
Маркус Германикус - 27.11.2019 03:51

the irony of talking about streamlining dataframe file operations but then using the mouse for every operation in the notebook :D

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Neha Sehta
Neha Sehta - 23.11.2019 08:42

how to plot between every column to a specific column. Suppose i have 5 columns, A, B, C, D, E and i wanna write code to get a plot for A and E, B and E, C and E and D and E.

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Tejas Rathod
Tejas Rathod - 22.09.2019 16:14

Sir if I import excel sheet in jupyter notebook than suppose in one column a particular data is repeated n times than is there any function to count how many times data is repeated?

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Julian
Julian - 14.09.2019 19:21

great video!

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Mehran Zand
Mehran Zand - 03.09.2019 21:58

so simple to learn with you thanks

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chetan chavan
chetan chavan - 08.08.2019 07:30

how to install pandas

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JAGA@Jyoti
JAGA@Jyoti - 30.07.2019 13:52

Super

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