Pandas for Data Science in 20 Minutes | Python Crash Course
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- čas přidán 20. 08. 2020
- Want to get up to speed with Pandas FAST?
Tired of spending hours in data science courses?
I hear you!
I give you, Pandas in 20 minutes! In this crash course you'll learn the 20% percent of Pandas you need to know to give you the 80% of results. You'll learn everything you need to know to get up and running with your data science project super FAST.
In this video you’ll learn how to:
1. Create data frames from a range of sources
2. Update, visualise and preprocess data in data frames
3. Output your preprocessed data frames to csv, JSON and HTML
Github Repo for the Project: github.com/nicknochnack/Panda...
Want to learn more about it all:
Pandas Documentation: pandas.pydata.org/docs/
Oh, and don't forget to connect with me!
LinkedIn: / nicholasr. .
Facebook: / nickrenotte
GitHub: github.com/nicknochnack
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
Music by Lakey Inspired
Chill Day - • LAKEY INSPIRED - Chill... - Věda a technologie
i haven't gone to university, but right now i am working as a data analyst because of CZcams 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.
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 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'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!
The intro is so cute. Literally makes anyone come to see pandas and learn about them too!
😂 both cute and practical!
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.
Amazing just what I needed before an interview did me a solid ! Thanks !
Thanks bro! I'm starting in data science and your youtube channel is a gold mine! Thanks for share your knowledge, tips and tricks!
Just started my internship for data science and this video helped me solidify my knowledge on pandas!
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.
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.
This is a fantastic mini-course. Thank you, man
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.
Thanks Nick. Well organized and presented. A nugget- of-time well spent as viewer and novice coder.
Great job. Short, sweet, to the point, helpful!
This is exactly what I was looking for. Short and sweet!
awesome! concise and crisp presentation. Appreciate your efforts for this @Nicholas
Thanks!
Nice taster, mate. Learning Python and was curious about Pandas. This did the job.
Most underrated tech channel on CZcams. Bravo!
This is such a informative video and I'm not even done yet, thank you so much!
Amazing session keep dropping such short and crisp videos ❤❤ love from India
this was crisp and to the point pandas video.. thanks a lot !!
I like this format. Clear and concise.
This Helped a lot as a revision before my lab exam. Really Thanks Nicholas. great work
YESS! Awesome!
clear and precise tutorial. Thank you.
Super productive introduction to Pandas. Thanks Nicholas!
Great tutorial, very helpful. Thank you!!!
Awesome video, thank so much!!, Nicholas you rock!!
You are a point fisher. Straight to the moon. Thanks Nick.
I wish I would have come across your videos when I was learning pandas. Best summary.
Pls keep doing your job; I don't know how to thank you enough. As always, you are my superhero.
Thanks Nicholas, great refresher . I am not a professional developer but wanted a quick refresher for some stats I am researching
Awesome video, thank you Nicholas!
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!
You're a legend! I'm gonna learn from your body of work everyday!
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 :)
This is some pretty solid info! Really helped me understand what’s going on
Awesome work @FreshMilkHD, glad you enjoyed it!
Great Explanation Nich, Thank you so much :")
thanks a lot for your video. really helped me to learn how to preprocess my data.
The best Pandas tutorial I've found, cheers.
Thanks so much!! Plenty more to come!
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.
Very useful video Nicholas, Thanks , Love your channel, I am Fahad from Linkedin :)
Very good job and very well explained
Subscribed
Extremely helpful. Thank you!
This was so useful THANK YOU
loved it.. thanks a tin! complete time saviour for beginners like me.
Thank you so much Nick👏
Thank you so much bro ! this is so helpful for me 😍
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
Very helpful video..
Thanks
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!!
Excellent video!
Very helpful video. Short and informative!
Thanks so much @SnowryCocoon!
Thank you, This was super helpful.
Great video, thank you
Short but very informative great video
Great video , thanks 👍👌🙌🙏
Awesome video cheers
very good and clear explanation. Thanks!
Thanks a bunch @shirvas1!
Hello. this command did not bring any result
df = pd.read_csv('survey_results.csv') . Would you be able to help?
Thank you
Very specific and clear.
Short & Crisp.. 👌👌
This is amazing tutorial
Thanks for this!
Thank you!
prettyyyy dope mann!
Thanks that was very helpful.
If my csv data frame has no column headings and data is not organized how I can create a column headings using pandas
Superb
neat content Nicholas Renotte. I shattered that thumbs up on your video. Always keep up the awesome work.
Thank you very much! just grabbed a used gigabyte rx580 egpu to run 3x monitors off a 2014 mac mini.
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!
Wonderful
Clear and concise
Thanks so much @Immanuel!
Thanks so much
this is beautiful
I want you to know, YOU'RE THE MAN!!
Thanks homie 🙏, means a ton Moises!!
This is golden, thank you
Thanks a bunch @Thiago!
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.
Nicholas you admire Andrew ng and I'm going for you......The best channel I found in the whole CZcams......thanks for sharing this valuable content....
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
nice tutorial
thank you so much
thanks man
Hello nick, cant open the csv file in Jupyter, can you help me pls? ParserError !
what if i wanna grab unique value in International plan column? 10:30
nice!!
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.
good
😍
Thank u a lot.. much appreciated
Anytime! So glad you enjoyed it!
this is the best pandas video on youtube
Ohhhhh thanks so much @Rishit!
This is good
perfect
thank u
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?
thanks a lot man
Anytime @Jaswanth!
Wow! ❤
Thanks so much @Lijo!
Thank you so much pal 🍻
Anytime! Glad you enjoyed it!
The perfect
Hey Nik, How are you man? Hope you fixed your discord. Thanks a lot for sharing this, I am new to data science and this video will help me immensely!
I just want to thank you sincerely for all your efforts in sharing your knowledge endlessly with the community.
Oh man, not yet, been head down coding like cray for the mega Python course for next week! So glad you're enjoying it man!!
@@NicholasRenotte mate you are like a Tornado running around and disturbing unexpected corners in Science and touching people's lifes (in a great positive way of course)
you have so much content - its crazy
i cant appreciate you enough - and would love to get to know more about you and your vision and values better.
I hope you accept the small TOKEN of appreiciation I have pledged to you on Patreon. Hopefully with you and your wonderful community's aid, we will continue to grow and be successful and lucky!!
@@infinitylabs3071 HOT DAMNNN, Thanks soooo much!! I'm hoping I can keep doing that and more into the distant future. Thank you so much for your generosity, love having you along for the ride!
@@NicholasRenotte sweet! do you reply to private messages on Discord?