Hey everyone! Thanks for being so patient while I finished this course! I am still finishing the last few videos of the course and have many more to record, but I am hoping to release Part 2 tomorrow. The next video will cover DataFrame and Series datatypes. These datatypes are the backbone of Pandas and learning what they are and how to use them is essential, so be sure to check that out. I'd like to thank Brilliant for sponsoring this series. If you'd like to check them out then you can sign up with this link and get 20% off your premium subscription: brilliant.org/cms
Do you plan to cover DaskDataframes for parallel computing ? I think for those who already know Pandas it would be great to know how to parallelize pandas.
The programming community can not thank you enough Corey, thank you so much for the huge effort you are making through several years, we all love you ❤❤❤❤
I'm a geophysicist, and I decided to learn Python a few weeks ago to upskill in data analysis. I finished an intro course in Python, and then landed here to learn Pandas. Thank you for this resource!
you are gem of a person. I loved your past Django series and learnt a lot from them. you are the best teacher on UA-cam. I would love to see more on machine or deep learning stuff from you in future after Pandas series.
Corey, I sometimes with you were my university professor, it's very understandable what you are explaining and I could sense how much effort you put it into these contents. Very unlike to my professors who just mumble stuffs. Thanks a lot!
Hi Corey - Your channel is by far the best on youtube in my experience. It's a no-nonsense and technical enough for anyone to learn Python language. Keep up the good work. God bless you!
Hi Corey, I'm writing this comment to say thank you so much for all your videos, because your channel helped me to understand better. I really don't remember to how many people i have recommended your channel to learn Python from you as you're my fav teacher ever. Thanks for this and keep posting. :)
Hey Corey, I just want to thank you for your work. I've watched many videos about python but yours are by far the best. Keep up the good work and greetings from Germany 💪
You're excellent at explaining concepts, and your examples feel very practical. It’s clear you have a deep understanding of how to describe a table, its rows, columns, data types, and the various methods and functions. Your approach really brings pandas to life! 👌
Hi Corey ! You were the first UA-camr to really help understand Python. After 6 month of learning I decided to go back to school to get a degree for Python developer, in one year i will be graduated ! Thanks for the great content and happy new year.
Amazing tutorial sir... One tip: If you want to hide the output just double click on *Out[ ]* column and it would hide, and to get it back just click again.
Back after watching (and following along) your virtual environment video. THANK YOU FOR THAT!!! I had a massive cluster fuck with anaconda, homebrew and pip that took me hours to untangle. Virtual environments seem like only way to go now. Thank you for that detailed video and explanation. Stoked to get into Pandas!!
Corey, the entire tutorial made my year...I started this course during covid intal days and within months I was doing very complex analysis for some big projects..awesome stuff
I cant wait to know what the rest of this playlist has in stock for me cause I'm already loving this first video and i believe I am at the right place to learn about pandas library
Hi Corey, the way you explain stuff just makes me learn more. I am really happy for your videos. Can we expect any ml/dl playlist soon? let me know :) Thank you for the absolutely quality videos and hard work you put into it.
Hi Corey, Please create some videos on Numpy. Your tutorials are absolutely no non-sense top class technical lectures with good practical examples. Totally loved your teaching style!
Hi Corey, I felt such a deep need for writing this, so THANK YOU, you are incredible, you have something what people called a gift, seriously, thank to you I know that I am able to understand processes in python and learn everything what is needed to become a python developer. I am going to donate my first salary to you, you are like a GOD of CODE. THANK YOU!!!
Hey there how's it going Corey. In this comment I'm going to be thanking you for being a great teacher. So what that means is you're awesome. Now if you don't know what that means, I have written other comments that go into detail on how awesome you are and you can find it in the comment description below. Click here
Amazing stuff, as always! I would love to see a video of how you create your videos. How many takes you do, how you edit stuff. I started my own series, heavenly based on your stuff, and I find myself recording 40 mins and cutting 15-20 mins out of it due to hiccups and stuff.
Hey there! I'd love to do a video like that. I don't know when I can get around to it, but several people have requested that. I record and edit using Camtasia, and I'd say that I also cut about as much out as you said. If I record for an hour then the final edited video will likely only be 40 minutes or so.
Thank you so much corey schafer for helping us. You are like God for us. Life savior. May god bless you. Am impressed with command in your voice. When i started python half of the time i spend to search for nice videos for topic now only one hero and one god its you. Thankkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk you somuch
nice start of the year... looking forward to see more from you on some of the series such as Deep Learning (BERT ALBERT etc), Chat Bot, Advanced Automation and AI etc.
Really Thank you so much sir, for this Pandas Tutorial series. 😊. I have watched all the videos and learned so much about pandas, your every video is really great and beginner friendly, easy to understand.
Hi Corey thank you so much for posting these videos. Your tutorials have helped me transition the concepts I know into actual useful code. I would like to test my progress and would really appreciate if you can put out a link with some data analysis projects (i.e. a database to download, questions to answer using data analysis, and the code that was written to answer those questions). Thank you so much and keep the videos coming you're an amazing teacher!!
Hey everyone! Thanks for being so patient while I finished this course! I am still finishing the last few videos of the course and have many more to record, but I am hoping to release Part 2 tomorrow. The next video will cover DataFrame and Series datatypes. These datatypes are the backbone of Pandas and learning what they are and how to use them is essential, so be sure to check that out.
I'd like to thank Brilliant for sponsoring this series. If you'd like to check them out then you can sign up with this link and get 20% off your premium subscription:
brilliant.org/cms
Thanks for the videos Corey! I learn a lot from you. Are you going to use excel files with pandas in the series?
Yehuda Gurovich Yes, ill have a video where we look at how to read and write to many different file types and also SQL
@@coreyms Tyvm! Greetings from Chile btw :)
Do you plan to cover DaskDataframes for parallel computing ? I think for those who already know Pandas it would be great to know how to parallelize pandas.
Thank you so much Corey!! Was eagerly waiting for this. Much love.....
The programming community can not thank you enough Corey, thank you so much for the huge effort you are making through several years, we all love you
❤❤❤❤
Two Tutors which I look upto: Corey and Sentdex. Both have made my life easy. Thanks a ton Corey :)
I'm just starting to learn Pandas TODAY, and this video pops up by the number 1 Python teacher on UA-cam!
I'm a geophysicist, and I decided to learn Python a few weeks ago to upskill in data analysis. I finished an intro course in Python, and then landed here to learn Pandas. Thank you for this resource!
I’m doing the same thing ! Can you please tell me if you have a background in data science, or if you are directly learning pandas? Thank you.
@@hananeougherb no background in data science, and minimal background in stats :)
Corey Schafer is one of my favorite youtube educators, really clear and concise.
Thanks!
This is the Perfect New Year Gift, Thank you, Corey.
@@creeplabs Hi guys can anyone tell me where I can get the csv file
@@PraveenKumar-zf6ks check the description there's a link stackoverflow survey download page
Did you make the most of your year?
Happy New Year
Your videos build interest in python .
you are gem of a person. I loved your past Django series and learnt a lot from them. you are the best teacher on UA-cam. I would love to see more on machine or deep learning stuff from you in future after Pandas series.
Corey, I sometimes with you were my university professor, it's very understandable what you are explaining and I could sense how much effort you put it into these contents. Very unlike to my professors who just mumble stuffs. Thanks a lot!
ME TOO!!!!
Hi Corey - Your channel is by far the best on youtube in my experience. It's a no-nonsense and technical enough for anyone to learn Python language. Keep up the good work. God bless you!
Corey strikes again! So happy to have the best programming teacher on UA-cam tackling Pandas!!
Thanks sir, I am a php developer on the road to become a data scientist. This serie will sure help for the first steps.
Where are you from mister Diallo. Lol.
@@mctrjalloh6082 from Guinea (Conakry)
Sir Diallo, I'm just curious, why would a php developer change career to data science?
Hi Corey,
I'm writing this comment to say thank you so much for all your videos, because your channel helped me to understand better.
I really don't remember to how many people i have recommended your channel to learn Python from you as you're my fav teacher ever. Thanks for this and keep posting. :)
Yessss. This is the way we start celebrating the new year...
You are objectively the best tutor of all time. Thank you, Corey!
I was looking for pandas tutorials and found two things here: Pandas and English learning. thank you. you are awesome
Hey Corey, I just want to thank you for your work. I've watched many videos about python but yours are by far the best. Keep up the good work and greetings from Germany 💪
Thanks!
This is fantastic, Pandas with the best Python explainer. Have been looking forward for this series. Thanks Corey !
Corey: starts realising pandas tutorial
Everyone liked that!
releasing *
You're excellent at explaining concepts, and your examples feel very practical. It’s clear you have a deep understanding of how to describe a table, its rows, columns, data types, and the various methods and functions. Your approach really brings pandas to life! 👌
Was knowing you'd be uploading the video today. Thanks.
And the waits over.
Hi Corey !
You were the first UA-camr to really help understand Python.
After 6 month of learning I decided to go back to school to get a degree for Python developer, in one year i will be graduated !
Thanks for the great content and happy new year.
That's awesome! Great job!
Hey Corey,
Very happy to see you come to the data science world. We're thankful.
Hope you'll also move slowly into machine learning!
Cheers.
Corey rocked in his very first pandas video. Exceptional than any other pandas intro in YT!
UA-cam notification has been programmed to bring me here to learn about programming :)
Just found out about your channel and it's honestly a blessing
Thank you for this series. I really appreciate it. Your videos are easy to follow and do without the annoying music intros.
Thanks Corey! You tackle essential things within a short time.
Used your flask tutorial to do my project last semester, and now I will use your tutorials to help me complete my data mining hw :D. You da best
Right on the day I started thinking about learning data analysis. It can't be just coincidence
Amazing tutorial sir...
One tip: If you want to hide the output just double click on *Out[ ]* column and it would hide, and to get it back just click again.
Dude you're literally a legend. Watched ur django series, gonna watch this, then the Flask series
Back after watching (and following along) your virtual environment video. THANK YOU FOR THAT!!! I had a massive cluster fuck with anaconda, homebrew and pip that took me hours to untangle. Virtual environments seem like only way to go now. Thank you for that detailed video and explanation. Stoked to get into Pandas!!
Best channel for Python tutorials. I'm very excited about this series!
Corey, the entire tutorial made my year...I started this course during covid intal days and within months I was doing very complex analysis for some big projects..awesome stuff
So you got a job now?
@@DANNYEL20122 Dude that was 2 years back and have since moved ahead with other projects, i still refer to occasionally to this great material
@@mrmuranga was just asking to get inspired
@@DANNYEL20122 Did you get inspired?
@@mr.pieced6766 lol
You have a gift for teaching Corey. Thank you very much Sir.
On my way to be a data scientist with your videos. Much love corey
Simple. Clear. The best Panda's tutorial. Thank you.
Thank you so much. Coding was intimidating to me until I saw your tutorials. You're amazing!
I cant wait to know what the rest of this playlist has in stock for me cause I'm already loving this first video and i believe I am at the right place to learn about pandas library
Oh God. This is going to be incredible. Thanks Corey sir. You're the best!
So far the best video lectures on pandas, I am glad being here.
Good to see you back on panda series... looking forward more videos...
Holy cow!!! Have been waiting for this forever! Great job Corey!
I'm starting to learn Pandas today and will comeback to this comment once I become a Data Scientist!
so you did not become a Data Scientist
@@rabiabatool1335😂
😂😂😂💀💀💀💀
Bro it's been a long time now.
Where are you
Hey bro, i hope you come back someday
So excited to see the rest of this series! You always do a great job of making sense of difficult subjects.
Best tutorials on whatever subject! Keep on. Love to see a series in PyQt.
Thanks Corey. As usual. Any subject is easier to understand with your videos.
Hi Corey, the way you explain stuff just makes me learn more. I am really happy for your videos. Can we expect any ml/dl playlist soon? let me know :) Thank you for the absolutely quality videos and hard work you put into it.
Man, you are a great teacher!
the way you teach is just different, thank you so much.
Much awaited series!!
Guru is back...im so happy 😍
I'm really excited for this great video on pandas. Thank you Corey for the great tutorial.
liked your video without watching. you are great. will watch this tomorrow. thanks for uploading
Excellent tutorial Corey. Thanks for sharing.
Hi Corey,
Please create some videos on Numpy. Your tutorials are absolutely no non-sense top class technical lectures with good practical examples.
Totally loved your teaching style!
Thanks Corey! I have just discovered this channel, and it is definitely one of the best on pandas. Great learning resource!
Hey friend, great video! Fyi, I think you mean "truncate" instead of "concatenate". Keep up the great work!
Fantastic stuff right here, one of the best teachers I've seen in a while. thanks Corey!
Corey's videos always on point, thanks Corey!
Just had a need to learn Pandas and was soooo happy to find that Corey had a video series on it :)
Hi Corey,
I felt such a deep need for writing this, so THANK YOU, you are incredible, you have something what people called a gift, seriously, thank to you I know that I am able to understand processes in python and learn everything what is needed to become a python developer.
I am going to donate my first salary to you, you are like a GOD of CODE.
THANK YOU!!!
great vid, as most always! great coverage of subjects, down to earth explanations, good pace, beautifully balanced!
My reaction when I saw Pandas Tutorial by Corey Schafer :D:D:D. Love all your videos. Absolutely awesome tutorials. Keep going.
Hey there how's it going Corey. In this comment I'm going to be thanking you for being a great teacher. So what that means is you're awesome. Now if you don't know what that means, I have written other comments that go into detail on how awesome you are and you can find it in the comment description below.
Click here
BAHAHAJA
You are an INCREDIBLE teacher!
YESS!!! Been waiting for this!
Amazing stuff, as always! I would love to see a video of how you create your videos. How many takes you do, how you edit stuff. I started my own series, heavenly based on your stuff, and I find myself recording 40 mins and cutting 15-20 mins out of it due to hiccups and stuff.
Hey there! I'd love to do a video like that. I don't know when I can get around to it, but several people have requested that. I record and edit using Camtasia, and I'd say that I also cut about as much out as you said. If I record for an hour then the final edited video will likely only be 40 minutes or so.
you are both amazing people , thank you for teaching us
The one notification to make me happy at the end of the day : (Part 1). Thanks Corey !! You've been amazing.
Thank you so much corey schafer for helping us.
You are like God for us. Life savior.
May god bless you.
Am impressed with command in your voice. When i started python half of the time i spend to search for nice videos for topic now only one hero and one god its you.
Thankkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk you somuch
Thank you for introducing Jupyter to me. I feel like it's precisely what I needed for learning and testing.
Amazing tutorial, congrats Corey.
Oh yes, exactly what I was waiting for for a long time. Thank you for your excellent work!
Wow, amazing, Corey, I have just started a project involved in Data Analysis and I had no idea what, then your series came out and I have hope!
Excellent teaching style and easy to understand materials. Thank you very much.
I've been waiting so long for this from you. Thank you.
I am glad i iloced into a new video from you. Always great stuff sir!
Prayers have been answered. Thank you sir.
I would love a series dedicated to jupyter and it's "secret" capabilities.
Keep up the good work. You are my favourite UA-camr.
I do have a video on Jupyter where I go into some of these, but there is a lot more I could cover. I’ll keep that suggestion in mind. Thanks.
Great stuff Corey. Working on making a career pivot right now, and your videos have really helped me learn more than I ever thought would be possible!
Best series on Pandas! Love from India corey : )
I am really happy that i found this channel.
Keep up the good work!!
Thank you very mush Sir.. this video really helped..
Again i just want to thank you. I'm emotional right now
Thanks Corey! Stay blessed.
This is good stuff as always.
Thanks a lot Corey. I’m excited to learn Pandas.
You're the man, Corey! 💪🏽
this is by far the best way i had to learn pandas library❤🇿🇦Thank u bro
Hi Corey, you're definitely the best teach, thank you from Brazil
I am revisitng these videos again 3 years later.
I love you so much! I’ve been waiting for you to do a pandas series
Iv been learning python for a while and honestly iv learnt alot from your python vid alone
nice start of the year... looking forward to see more from you on some of the series such as Deep Learning (BERT ALBERT etc), Chat Bot, Advanced Automation and AI etc.
Really Thank you so much sir, for this Pandas Tutorial series. 😊.
I have watched all the videos and learned so much about pandas, your every video is really great and beginner friendly, easy to understand.
This video is exactly what I was looking for
Excellent video. Just a small nitpick, when you said "concatenate", you meant truncate.
Hi Corey thank you so much for posting these videos. Your tutorials have helped me transition the concepts I know into actual useful code. I would like to test my progress and would really appreciate if you can put out a link with some data analysis projects (i.e. a database to download, questions to answer using data analysis, and the code that was written to answer those questions).
Thank you so much and keep the videos coming you're an amazing teacher!!
thank you so much for this video :) i have been learning excel and sql but was scared to jump into python and this video has helped me a lot