The perfect cheat sheet for someone just starting! Saving this video for future reference. Also, video had great speed, good quality! Skipped through 10 or so videos until I finally landed on yours.
I'm just upskilling myself in Python for Data Analytics. I am really happy that I found your video on Pandas. A very big thanks for all your efforts. You got yourself a new subscriber today!!!
I appreciate you trying to accelerate the delivery of the information. Preparing the cells, speeding the coding, being to the point... There is way too much time that can be saved in teaching videos out there. Thank you!
I was taking a statistics course online at a university I won't name. We basically had to display all this data as one of our assignments in the first week, and I struggled because I didn't know how to do it. And here you've explained it in 20 minutes! Thank you for making it easy to understand.
Thank you so much for this quick Crash course. I have been doing an online course but the problem is that the videos was too long and I just wanted a quick intro to Pandas. Thank God, I saw video and now I understand Pandas basics. Thanks once again.
@@NicholasRenotte I am from Mechanical Engineering Branch and to entry into Data Science field doing course on Coursera (ibm) and watching such videos is only investment i can do :)
i like this kind of teaching! the use of every functions are explained clearly. btw omg you type so fast!!! i just checked whether i turned to 1.5 speed XDD
I just discovered your channel, and I am very impressed with its content. I plan on watching every single video you have. I'm new to ML so well done bro.
I have always done data analysis using Stata and Spss. i need to add Python, Pandas and Numpy to my portfolio. That's why i am here. I like the CRUD initiative. It will make learning easier.
this was amazing, why? because i knew all of these and more but it made me sure that im on the right track. Thanks subbed. A pdf copy of all the finished code be great for a cheatsheet.
Nicholas you admire Andrew ng and I'm going for you......The best channel I found in the whole TH-cam......thanks for sharing this valuable content....
Oh dude, very nice very clear. Thanks so much. Maybe it is not for beginners, but if you familiar little bit with Pandas it is very helpful. I want to install Jupiter Notebook already. Now I'm using Pycharm :D
you can see mine too. Most of the fundamnetal Python tutorials, present with ppt and coding, and source files can be found in the description of each video.
Can you please make a video or tell, what is the best library for handling parquet which has a hive structured data with multiple layers and various data types , fastparquet or pyarrow or pandas or polars.
Is knowing Python a prerequisite to this? I wound up here because I asked Chat GPT if Excel was adequate for the type of data analysis I wanted to do, and it suggested I look into Python with Pandas. I know nothing about coding. But it seems like some of the things you explained were with the assumption that the viewer already knew/understood why to type it. Thanks
Hello Nicholas, Thanks for your great videos. I need your help. I have Binance Btc DataFrame, first column is epoch datetime value. I want to create two new columns from (first column) unix epoch time as date, time seperated. example value of : df['epoch'] = 1641898800000 target values : df['only_date'] = '2021-03-31' df['only_time'] = '23:00' how can i do it without loop, because loop taking long time to apply. Thanks for your help.
i haven't gone to university, but right now i am working as a data analyst because of TH-cam videos. thank you Nick....
Which company dude
Excellent! 🎉
How did you find jobs and experience when you were learning?
That's cool. The technology evolving we need universities only to protest by losers.
what projects did you do to get hired?
The perfect cheat sheet for someone just starting! Saving this video for future reference. Also, video had great speed, good quality! Skipped through 10 or so videos until I finally landed on yours.
I'm just upskilling myself in Python for Data Analytics. I am really happy that I found your video on Pandas. A very big thanks for all your efforts. You got yourself a new subscriber today!!!
Heyyyy, thanks Deepak!
I appreciate you trying to accelerate the delivery of the information. Preparing the cells, speeding the coding, being to the point... There is way too much time that can be saved in teaching videos out there. Thank you!
The intro is so cute. Literally makes anyone come to see pandas and learn about them too!
😂 both cute and practical!
Most underrated tech channel on TH-cam. Bravo!
I was taking a statistics course online at a university I won't name. We basically had to display all this data as one of our assignments in the first week, and I struggled because I didn't know how to do it. And here you've explained it in 20 minutes! Thank you for making it easy to understand.
Amazing just what I needed before an interview did me a solid ! Thanks !
Thank you so much for this quick Crash course. I have been doing an online course but the problem is that the videos was too long and I just wanted a quick intro to Pandas. Thank God, I saw video and now I understand Pandas basics. Thanks once again.
Just started my internship for data science and this video helped me solidify my knowledge on pandas!
I seriously needed this course for my project (took a lot of time o write notes converting 20min to 2hrs). Just perfect. Thank you very much
Nice taster, mate. Learning Python and was curious about Pandas. This did the job.
Amazing. I got to know you from a webinar and it landed me to your linkedin and then finally here.
Awesome! I remember talking to you, it was one of the global webinars!
@@NicholasRenotte I am from Mechanical Engineering Branch and to entry into Data Science field doing course on Coursera (ibm) and watching such videos is only investment i can do :)
i like this kind of teaching!
the use of every functions are explained clearly.
btw omg you type so fast!!!
i just checked whether i turned to 1.5 speed XDD
Thanks sooo much @kotori!! 🤣 it's sped up, i wish I typed that fast!
Thank you so much Nick👏
I just discovered your channel, and I am very impressed with its content. I plan on watching every single video you have. I'm new to ML so well done bro.
I have always done data analysis using Stata and Spss. i need to add Python, Pandas and Numpy to my portfolio. That's why i am here. I like the CRUD initiative. It will make learning easier.
Best Explanation ever...... Thank you Mr. Nick
best pandas crash course out there! great practical demonstration with no nonsense!! Thank you Nicholas!!!
I like this format. Clear and concise.
Awersome. Thank you very much! I tried to undarstand how to use pandas for 3 hours. But your video have solved my questions! Like.
YESSSS, glad you enjoyed it @Роман Васильев
Beautiful tutorial man, going straight to the point with the key fundamentals. I appreciate it.
This Helped a lot as a revision before my lab exam. Really Thanks Nicholas. great work
YESS! Awesome!
Amazing session keep dropping such short and crisp videos ❤❤ love from India
This is some pretty solid info! Really helped me understand what’s going on
Awesome work @FreshMilkHD, glad you enjoyed it!
The best Pandas tutorial I've found, cheers.
Thanks so much!! Plenty more to come!
This is Brillant, so many theory videos on pandas, but to teach in such a clear manner... you are amazing. Thank you, this is a game changer.
Pls keep doing your job; I don't know how to thank you enough. As always, you are my superhero.
This is exactly what I was looking for. Short and sweet!
Thanks bro! I'm starting in data science and your youtube channel is a gold mine! Thanks for share your knowledge, tips and tricks!
I'm a beginner and you crush the pandas library and data science for me. thanks a lot
You are a point fisher. Straight to the moon. Thanks Nick.
Best panda programming video brief and easy to assimilate😇😌
Thank you for the quick revision! 🤗
You're a legend! I'm gonna learn from your body of work everyday!
this was crisp and to the point pandas video.. thanks a lot !!
Thank you Nick. Such a great video.
awesome! concise and crisp presentation. Appreciate your efforts for this @Nicholas
Thanks!
Very good job and very well explained
Subscribed
Great video learned a lot in a short time. Thanks
This is a fantastic mini-course. Thank you, man
Super productive introduction to Pandas. Thanks Nicholas!
Very useful video Nicholas, Thanks , Love your channel, I am Fahad from Linkedin :)
Short & Crisp.. 👌👌
clear and precise tutorial. Thank you.
I wish I would have come across your videos when I was learning pandas. Best summary.
Awesome video, thank so much!!, Nicholas you rock!!
Thanks Nick. Well organized and presented. A nugget- of-time well spent as viewer and novice coder.
this was amazing, why? because i knew all of these and more but it made me sure that im on the right track. Thanks subbed. A pdf copy of all the finished code be great for a cheatsheet.
Nice !! Thank you Brother for this great Job you are a King !! This help me a lot.
Oh, thank you so much! Glad you found it useful!!
I want you to know, YOU'RE THE MAN!!
Thanks homie 🙏, means a ton Moises!!
Great tutorial, very helpful. Thank you!!!
Awesome video, thank you Nicholas!
Great job. Short, sweet, to the point, helpful!
thanks a lot for your video. really helped me to learn how to preprocess my data.
Nicholas you admire Andrew ng and I'm going for you......The best channel I found in the whole TH-cam......thanks for sharing this valuable content....
Thanks that was very helpful.
this is the best pandas video on youtube
Ohhhhh thanks so much @Rishit!
very good and clear explanation. Thanks!
Thanks a bunch @shirvas1!
This is such a informative video and I'm not even done yet, thank you so much!
Thank you so much bro ! this is so helpful for me 😍
Thanks Nicholas, great refresher . I am not a professional developer but wanted a quick refresher for some stats I am researching
Clear and concise
Thanks so much @Immanuel!
This was so useful THANK YOU
Great video , thanks 👍👌🙌🙏
Extremely helpful. Thank you!
Great Explanation Nich, Thank you so much :")
Very helpful video. Short and informative!
Thanks so much @SnowryCocoon!
Thank you. 🙏🙏🙏
This was very helpful. Thanks!
Thank you, This was super helpful.
Tell us all what secrets you use, we will all benefit from it. Hope to make a video on how we can take a sure shot in the next video.
Short but very informative great video
neat content Nicholas Renotte. I shattered that thumbs up on your video. Always keep up the awesome work.
Very specific and clear.
Thanks for this!
Oh dude, very nice very clear. Thanks so much. Maybe it is not for beginners, but if you familiar little bit with Pandas it is very helpful. I want to install Jupiter Notebook already. Now I'm using Pycharm :D
Nice! Go getem!
Speedrunning for an interview
Very helpful video..
Thanks
This is golden, thank you
Thanks a bunch @Thiago!
Thank you very much! just grabbed a used gigabyte rx580 egpu to run 3x monitors off a 2014 mac mini.
loved it.. thanks a tin! complete time saviour for beginners like me.
Thank you!
Great video, thank you
Awesome video cheers
Excellent video!
Thank you so much it is so helpful.
you can see mine too. Most of the fundamnetal Python tutorials, present with ppt and coding, and source files can be found in the description of each video.
@@easydatascience2508 Ok thank you. Best of luck
This is amazing tutorial
good
😍
Can you please make a video or tell, what is the best library for handling parquet which has a hive structured data with multiple layers and various data types , fastparquet or pyarrow or pandas or polars.
Thank you so much pal 🍻
Anytime! Glad you enjoyed it!
what if i wanna grab unique value in International plan column? 10:30
Hi Nick I indeed like your explanation techniques, currently I have a project and would like some clarification so how do I reach you directly?
Is knowing Python a prerequisite to this? I wound up here because I asked Chat GPT if Excel was adequate for the type of data analysis I wanted to do, and it suggested I look into Python with Pandas. I know nothing about coding. But it seems like some of the things you explained were with the assumption that the viewer already knew/understood why to type it. Thanks
thanks man
Thanks so much
Hello Nicholas,
Thanks for your great videos. I need your help.
I have Binance Btc DataFrame, first column is epoch datetime value.
I want to create two new columns from (first column) unix epoch time as date, time seperated.
example value of : df['epoch'] = 1641898800000
target values :
df['only_date'] = '2021-03-31'
df['only_time'] = '23:00'
how can i do it without loop, because loop taking long time to apply.
Thanks for your help.
Superb
Thank u a lot.. much appreciated
Anytime! So glad you enjoyed it!
this is beautiful