First of all, this the best tutorial I have seen on python and secondly you mention something else where people might have question in that topic. You answered all my questions when you are teaching. YOU ARE THE BEST!
I was happy when you got the error with skip_rows and you showed us how to search for methods and debug your code. Amazing videos. Thanks a ton for teaching us :D
I want to take a moment and Thank you for all your efforts. I am in the beginning stages of learning Python and it has been very confusing. Your detailed tutorials are super helpful and I am learning a lot, taking notes! Bless You!
Hi jananibalaji, how are you? I'm in the stage where u were mentioned. Have u got ur job in Python or Data Science? If so I want big tips of real-time environment from u which will help me lot in understanding python much better and knowing the real world of python. could u help me in this? I believe that u know well about the huge difference between studying things and real world of things. Thank u
Maybe 6 or 7 mins in and you have helped me out already, thanks. Not sure if I have posted a comment before but your pace and diction are greatly appreciated, content is clear and to the point, again thank you. Stay healthy and safe.
Dear Sir, I truly appreciate your teaching style: always clear, straight to the point, and thorough enough to cover the logics behind each task! I also like how you break things down to simple terms using plain English so that IT challenged people like me can easily understand! I will stay tuned to your RUclips channel while continuing to learn python! Best Regards👍
your video tutorials are packed with soo much stuff....its like small packet but big explosion!! ..thank you so much for sharing ur valuable knowledge and experiences with us !!
Machine learning tutorials with exercises: ruclips.net/video/gmvvaobm7eQ/видео.html Step by step roadmap to learn data science in 6 months: ruclips.net/video/H4YcqULY1-Q/видео.html
Definitely one of the best Pandas tutorial that I've found on internet. However, I got a bit confused when you called the converter function inside a dictionary and didn't use any arguments whereas the function had converters(cell) as argument. How did that work? Thanks!
I am a data engineer. Now you will ask me what is the difference between the three :) Well I have a video on explaining the difference between these 3 roles.
Thanks for the video. An observation, at 6:08 min of this video, you have taught us how to put a label on the column in case we don't have. So I was trying to another data set which has higher number of columns and if I don't name them all, the columns were named from right to left, in place of left to right.
I think in dictionary the order is a bit different. I am not able to say that exactly. But you can look up any basic tutorial on dictionaries. The qn is 1 year old. Sorry about that. You must have learned so much more.
At 11:40 you could have added that row 4 in price column did not change as it was not included in the dictionary. At 12:30 the demo of to csv the NaN was not found in the csv file. Those cells were blank. However the 4th row of column price had the NA intact.
Your tutorials are best....thank u...learnt a lot from ur videos ....have subscribed your channel.. waiting for tutorials on other python modules like sklearn nltk keras
if you are getting "UnicodeDecodeError" try reading with below: data = pd.read_csv('file_name.csv', encoding='utf-8') and the other different encoding types are: encoding = "cp1252" encoding = "ISO-8859-1" Hope this helps !!
Converters functions is changing sam walton on every n.a. value in PEOPLE it doesn't checks for TICKERS . I put -1 on 1st row having tickers as google also changed to sam walton(changes larry page)
Yes srikant social media platforms makes it easy to share the content and make it availt for the ones who need it. RUclips is indeed an awesome platform.
Sir the series is a great one to learn. But it would be great if you could have hosted the required dataset elsewhere or in a different repe. I had to clone to entire repo which had other things. So now I am doing copy and pasting csv in raw format from github!
if instead of -1 it is possible that there must be other negative number like -100 or -987 how to change these to Nan... your videos are awesome . Thanks for teaching us :)
Yes ankur. I have big plans but I am facing some health issues and that's why not able to find time. But as soon as I recover I will resume the work! Thanks for your interest in my content.
Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced
Ur vids are great but in pandas I cud not bring my csv excel file into pandas. Syntax error or kernel not connected or other big red lines
can't believe that these videos was made in 2017. still so much helpful and easy to understand
I am happy this was helpful to you.
First of all, this the best tutorial I have seen on python and secondly you mention something else where people might have question in that topic. You answered all my questions when you are teaching. YOU ARE THE BEST!
What are you doing currently?
This is by far the best series on Pandas which I've came across till date. Thanks sir for making things look this easy.
I was happy when you got the error with skip_rows and you showed us how to search for methods and debug your code. Amazing videos. Thanks a ton for teaching us :D
I want to take a moment and Thank you for all your efforts. I am in the beginning stages of learning Python and it has been very confusing. Your detailed tutorials are super helpful and I am learning a lot, taking notes! Bless You!
Best of luck!
Hi jananibalaji, how are you? I'm in the stage where u were mentioned. Have u got ur job in Python or Data Science? If so I want big tips of real-time environment from u which will help me lot in understanding python much better and knowing the real world of python. could u help me in this? I believe that u know well about the huge difference between studying things and real world of things. Thank u
Can't believe that these videos was made in 2017. Still so much helpful and easy to understand.Best Pandas playlist ever
I can't stop myself to keep learning Pandas by watching this series ... this is the best ...
Totally agree mate
Agree -better than any others I have watched and I have watched a lot.
This is the best tutorial on Pandas I've seen so far. Thanks for putting this together.
By far the best series of videos you would ever find. Thanks.
R u from VIT, vellore?
Maybe 6 or 7 mins in and you have helped me out already, thanks. Not sure if I have posted a comment before but your pace and diction are greatly appreciated, content is clear and to the point, again thank you. Stay healthy and safe.
after visiting many platform and youtube videos, I am learning actual thing in a practical way.
Dear Sir, I truly appreciate your teaching style: always clear, straight to the point, and thorough enough to cover the logics behind each task! I also like how you break things down to simple terms using plain English so that IT challenged people like me can easily understand! I will stay tuned to your RUclips channel while continuing to learn python! Best Regards👍
Scottie thanks for the detailed feedback buddy. It was certainly useful 😊👍
Five years old video and it's still so relevant, thanks, I'm learning how to read and write excel files.
got clear idea about data_frame and read_csv() - thank you
one thing: your voice and english all matches to M. S. Dhoni.
Seriously , you teach so many things in a way that one other does ... just amazing
Love your videos on Python and Pandas. Keep up the good work
Keep slaying
This is the best pandas tutorial so far!
I am glad it was helpful
Showing how you resolve errors is the most important for us like you did as skip_rows.
Step by step roadmap to learn data science in 6 months: ruclips.net/video/H4YcqULY1-Q/видео.html
InstaBlaster.
Great. Contact number please
Your Teaching is Always super , moreover you are helping the Data Science Community, sincere Thanks to you
Thank you for this great tutorial. Just getting started with pandas and your video's are a fantastic help :)
Thank you, instructor, to make the videos. Love your voice.
Glad, you liked it
Thank you. I love you work. You make the process simple, clear, direct.
Fanchihk, thanks for sharing a valuable feedback 👍
your video tutorials are packed with soo much stuff....its like small packet but big explosion!! ..thank you so much for sharing ur valuable knowledge and experiences with us !!
"Small package but big explosion" love that analogy adarsh ❤️ Thanks 😊
This class is a gem ♥♥♥
Thanks for the very detailed tutorial of read_csv!
Terry I am really glad you liked it
Very clear explanation with examples. Quick tutorial to learn Panda use in Python. Excellent job.
Mohan I am happy to help buddy :)
thank you bro. you are the first one to teach so clearly
Another first class video. Great detail without the complexity. Thanks!
small tip :
You can use Windows + left/right arrow key to adjust multiple windows ,
makes it so much easier than dragging it manually with a cursor
thanks
Oh ok thanks
Machine learning tutorials with exercises:
ruclips.net/video/gmvvaobm7eQ/видео.html
Step by step roadmap to learn data science in 6 months: ruclips.net/video/H4YcqULY1-Q/видео.html
great tutorial, clear and straight to the point
Great thanks adrix92.
You teach really well.I got all my doubts clear
Greatly explained the commands to filter and visualize the data...very nice
you are giving a knowledge in different way sir
You're the GOAT. The tutorial is extremely helpful.
you made learning of Pandas easy and interesting . Thanks
Thanks a lot. I was unable to import data in jupyter. Your video really helped me.
loving the way you are teaching
I understood everything you tough by now... Thanks for useful content
Nice himanshu
agree
Thanks for the videos, everything is so clear. Really love them
Happy to hear that!
Ultimate for spreadsheet automations users.
Thanks for this tutorial and requesting to make some videos related to styling of cells.
Abdul I am glad you found this to be useful 👍
Definitely one of the best Pandas tutorial that I've found on internet. However, I got a bit confused when you called the converter function inside a dictionary and didn't use any arguments whereas the function had converters(cell) as argument. How did that work? Thanks!
Videos are just perfect. I just wanna know are you a data scientist or analyst.
I am a data engineer. Now you will ask me what is the difference between the three :) Well I have a video on explaining the difference between these 3 roles.
@@codebasics data engineer sounds like king of data oriented IT jobs. Keep it up.
Thanks for the video. An observation, at 6:08 min of this video, you have taught us how to put a label on the column in case we don't have. So I was trying to another data set which has higher number of columns and if I don't name them all, the columns were named from right to left, in place of left to right.
I think in dictionary the order is a bit different. I am not able to say that exactly. But you can look up any basic tutorial on dictionaries. The qn is 1 year old. Sorry about that. You must have learned so much more.
Great video, I really enjoyed it till the end.
19:12 you better use a lambda function!
Great video and easy to follow and learn the essentials of reading and writing to/from a dataframe.
Great vedios for non cs backgroung nice and simple explaination.
Glad you liked it
just completed this video and also I am taking notes. Moving to next video :)
Thank you dear ,simple and condensed information.
Glad it was helpful!
Awesome intro to data science!
best tutorials on pandas :) thanks
I love your videos sir you have a way of making me feel calm while learning
At 11:40 you could have added that row 4 in price column did not change as it was not included in the dictionary. At 12:30 the demo of to csv the NaN was not found in the csv file. Those cells were blank. However the 4th row of column price had the NA intact.
Thank you for this great tutorial. it's Awesome......which I found very helpful.
Priyadarsini, I am glad you liked it
superb teaching sir
Thanks a lot for your kind works Sri Shanth. Stay in touch for more videos and share our channel if you really find it worth.
This video is very useful.Awesome explanaition
Your are rocking, great video, thank you so much. It saved my life.....!!
Glad you like it Vishal 👍😊
Great videos! There are many details I didn't know about pandas. Thx for the effort. Waiting for further videos :)
Phenomenal Videos Sir!!!
One doubt how to create new data sheet in the same excel file
Thank you for this very useful video!
ur my teacher sir ... thank you sooo much
Glad to be your teacher sri 😊🙏
Excellent tutorial.
‘Those who know, do. Those that understand, teach.’ -Aristotle
thank you very much sir for your effort .
Another great quote Rohan 👏👏👏
Nice tutorials to learn Python - Pandas
Glad you liked it 😊
Wonderful class! I've just found your channel.
Thank you!
simply super content explained
Excellent video. It actually helped me out a lot for a recent project.
Extremely helpful.Thanks.
I am happy this was helpful to you.
Thank you for your fantastic tutorial! You have helped me tremendously!
Great to hear justin!
Fantastic Videos. Covered all necessary functionalities with maximum ease. Thanks a lot :-)
very good illustration
excellent. clear, to the point. love it.
Great to hear!
you helped me in my assignment. thank you
My pleasure
Your tutorials are best....thank u...learnt a lot from ur videos ....have subscribed your channel.. waiting for tutorials on other python modules like sklearn nltk keras
For sklearn I already have a full series. Check it out on my channel it's called machine learning tutorials
Great thanks for the excellent tutorial!
👍😊
Very clear video - thank you!
Glad you enjoyed it!
if you are getting "UnicodeDecodeError"
try reading with below:
data = pd.read_csv('file_name.csv', encoding='utf-8')
and the other different encoding types are:
encoding = "cp1252"
encoding = "ISO-8859-1"
Hope this helps !!
thanks a lot
Very nice detail explanation.
Converters functions is changing sam walton on every n.a. value in PEOPLE it doesn't checks for TICKERS . I put -1 on 1st row having tickers as google also changed to sam walton(changes larry page)
I Love your video so much.I am very happy with out any cost you gave like this lactrue. thanks a lot......
Yes srikant social media platforms makes it easy to share the content and make it availt for the ones who need it. RUclips is indeed an awesome platform.
Sir the series is a great one to learn. But it would be great if you could have hosted the required dataset elsewhere or in a different repe. I had to clone to entire repo which had other things. So now I am doing copy and pasting csv in raw format from github!
Great job, sir!
Ok,Thank you! I will upgrade.
if instead of -1 it is possible that there must be other negative number like -100 or -987 how to change these to Nan...
your videos are awesome . Thanks for teaching us :)
This is life saver. Thank you very much.
👍😀
Great Explanation,Thanks sir !
Every tutorial getting me excited. A best tutorial of pandas.
Happy to hear that!
Very nice works. Thank you for your efforts.
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Excellent video thank you
Glad it was helpful!
Very good video, please add videos on Deep Learning and Text Analytics also
Yes ankur. I have big plans but I am facing some health issues and that's why not able to find time. But as soon as I recover I will resume the work! Thanks for your interest in my content.
Thank you so much sir , OSU !
Very useful tips, thanks!
Fantastic video
Excellent explanation. Thank you!!
For the Excel reading/writing I had to pip install openpyxl. That threw me a little but otherwise the video was very helpful, thanks lots! :-)
Glad it helped!
where is your csv file stored in pc???
coz m getting an error of file not found.
Much appreciated video content .Thanx :)
codebasics thanx buddy😁
codebasics sir how we can give the absolute path, sir please help me
whereever the csv be located , just after opening your notebook go to upload and then from browse go to location your file is located and upload it !!
@Nirav.Raval Mtech2018 Thanks so much..
If you have got the Answer plz write it here.
Instead of puttin -1 in the na_values to remove from revenue column, is there a way to give an argument which says if less than 0 then NaN ?