That is one gorgeous cheat sheet. Thanks for everything you're doing for the global developer community, Frank. This course is gold.

@levarish

Жыл бұрын

Can you please share the link for the cheat sheet?

@Thalescosta592

7 ай бұрын

@@levarish it's in the video description

BEST PYTHON COURSE i EVER SEEN. i LITERALLY ENJOYED AND SPEND MY WEEKEND CONSUMING THESE CONTENT WITH PLEASURE. THANK YOU FOR YOUR MASSIVE SUPPORT FRANK

That's the best content I've seen on jupyter and pandas so far! well done champ! I've spent my whole weekend going along on this course and I totally love it! Very well structured and full of examples you can run and you can test out on your own. had a minor set back on opening the csv file dgp but added the encoding parameter: df_gdp = pd.read_csv("gdp.csv" , encoding="latin-1")

@ThePyCoach

2 жыл бұрын

Thanks :)

I am a decent Excel user who has been so reluctant to learn any programming language. Your video changed my mind and after few hours of watching this video, I feel I can learn the basics of python in a short period of time. Your teaching style is amazing and your ability to explain things is fascinating. Thank you so much.

Frank went all out with this course. perfect beginner course. hope we all make you proud

Thanks for this tutorial! It would have also been nice to show how to concatenate or merge multiples data frames (inner, left, right join).

A very good begginer's course; it covers the basics of Python with Juipter Notebook IDE in a simple and understable way.

Just finished this video. It is my first introduction to python and you did an excellent job. I appreciate this thanks

Hi Frank! Many thanks for creating this wonderful course. You have taken humungous efforts for creating such a long and flawless content for everyone to learn. Highly commendable efforts!!

I just finished this python course and I have to say it was so fascinating to learn about this language. Frank did a great job at breaking everything down !!

Best Tutorial on Python for Data Analytics I have seen so far... Your approach is commendable. Well done! I need to see more of your contents. This is good stuff!

Great course! Thank you so much! Spent a half day finishing the course. Very Helpful!

I have just finished this. Love it. So easy to follow and Frank was amazing. best video so far.

Amazing content Frank.. How effortlessly you explained everything in the most simplistic way.. Thank you

Frank Andrade, thank you for the best, and most helpful tutorial of this type and this subject that I have ever seen.

Fantastically explained, thank you so much. Clear, easy to understand and shows some good examples.

@usuis8541

7 ай бұрын

GENSHIN PREACH

Very clear and concise instructions! Thank you very much!

Extraordinary content, crystal clear explanation. Pure gold. We should be able to like the video a couple of times. Thanks a ton for such an wonderful content.

as a junior data analyst i found this video very useful keep going my friend!!!

Brilliant tutorial! You are a very gifted presenter.

Great course, broken down like ABC. Thanks Frank

one of the best if not the best tutorial this channel has ever presented. Excellent job!

Nicely explained and step by step coverage of "whole" topic. ....Thank you Sir.

I still didn't finish the full course but I already find it very useful and well explained. Thank you Frank!

@boknows8263

Жыл бұрын

have you finished it by now?

@gorkemoncul6565

Жыл бұрын

@@boknows8263 Not yet

@boknows8263

Жыл бұрын

@@gorkemoncul6565 he will never finish it, he is watching TV now lol

Enjoyed every last second of it. Great job!

Best INSTRUCTOR with the best English accent that we can easily understand and you never miss any step for running Python, even though I'm a beginner but now I know How to use python because of this video 😍, some tutorial they skip some step and even we try to follow their instructions but we got lost 😊😊😊Thank you Instructor ❤

Thank you 🙏 you have explained so well. Amazing video. Learned a lot!

From Kenya much Appreciated - Asante Sana-

The course is really good but has a few caveats: 1. The Dataframe CSV for the short .pivot() method demonstration is not included. 2. The file gdp.csv is in Windows-1252 encoding in the zip file. This cannot be imported into a Dataframe without prior recoding into UTF-8. 3. The .pivot_table() example throws a FutureWarning. I had to list all features in values=['Quantity', 'Rating',...] to make it working. The problem comes from the attempt to sum non-numerical values. So only include columns with numerical values in values=[ ].

very clear and simple explanations , thank you!

Thank you for share this! I recommend this video for everyone wants to learn some basics of python, numpy and pandas is awesome.

Very nice course, you are truly blessed

Amazing content Frank.. How effortlessly you explained everything in the most simplistic way

This Channel deserves 100M Subscribers Hats Off You Guys👏👏👏

Definitely the best Python course for a data analyst who wants to level up from sql and excel only!!! Would recommend it!

@focus1007

Жыл бұрын

Sir currently I am working in excel only..will this course help me in getting job? I mean is it sufficient to land a job as data analyst? Pls guide🙏

@rafimaulana8294

Жыл бұрын

​@@focus1007 for an entry level actually a combination of sql+excel only is fine, but as you level up you'll eventually need Python/R. I was like that too at first.

@focus1007

Жыл бұрын

@@rafimaulana8294 thankyou so much fr replying🙏...sir so acc to you ,can i start applying for data analyst with the knowledge of excel and SQL only? Or should i learn anything else also?

@rafimaulana8294

Жыл бұрын

@@focus1007 Yes, but try learning any data viz either google data studio/tableau/power BI. This would make an extra bonus point and quite easy to learn.

@focus1007

Жыл бұрын

@@rafimaulana8294 thankyou so much sir for replying..means a lot to me🙏

This was a refresher course for me but notwithstanding, I learnt a whole lot.. Well done

@nriezedichisom1676

2 жыл бұрын

You are an excellent teacher but your KZread channel has very little content. Can you upload more videos?

@thepycoachES

2 жыл бұрын

@@nriezedichisom1676 Sure! More videos coming soon on my channel

The presentation is engaging and makes it easy to follow the instructions.

I already know Frank for writing exceptional technical articles! Good to see you here too 😁😁

@thepycoachES

2 жыл бұрын

Nice meeting you on KZread too! :)

No words can express how great your work is, thank you so much

Thanks for basic and effective course and plus English sound is perfect 👍

Great and simple to mind tutorial

Excellent... thanks you mr Frank Andrade

Watched it during Chrismas Holiday. Enjoyed it and learned something new. Thank you!

I love this content it's well structured with lots of examples to make you understand and master it without any problem. 🇿🇲

@giantdutchviking

8 ай бұрын

Did you happen to run into issues making a line graph? I used the provided code in the tutorial but keep getting errors I need matplotlib.

Amazing deep learning. Thankyou

Thanks for the amazing tutorial Frank! For people getting the unicode error: df_gdp = pd.read_csv('gdp.csv', encoding='latin-1')

@abdala-in-tech

3 ай бұрын

Thanks man!!

Great introduction for everyday use!

This is a very good course for me, help me a lot. Thank you very much.

God bless you for this project, I learned a lot from it.

THANKS FRANK, YOU MADE ME UNDERSTAND PANDAS

Excellent, very well explained. Very nice use of Jupyter notebooks. Many thanks for uploading.

Thank You Very Much, Much Much More❤️, Love From Indonesia

Don't know where you watching this from my brother but I wished you all the best in life ❤️❤️

Thank you so much. This is what I was looking for!

Thank you very much Frank ❤

Estou muito feliz por ter me inscrito e ter acesso a este conteúdo.

good job Frank .. really it's very interesting highly recommended

Thank you so much. This is a great course.

Thank you very much, this was very informative and explained in detail!

Thank you for taking the time to create this course and sharing your knowledge with others. Just some constructive criticism here, based on my experience using Excel for many years. In my opinion people looking to move to pandas from Excel are serious users of this package. I didn't find content here that will make me think I really need to move away from Excel to gain this capability. Also Excel's PowerQuery has a lot of powerful transformation capabilities. Instead of doing the visualizations, people may have benefitted more from examples covering merge, groupby, stack, unstack, melt, resampling and even how list comprehensions can be used to add columns based on conditions.

@robertstahl8835

2 жыл бұрын

My thoughts as well

Love it. Thanks a lot, Frank! 🎉

Great Course! Thanks

Perfect Thanks شكرا

Good learning here! The data should however be available for download to easily practice.

Thank you Frank, this is so useful

Amazing course big thanks!

Wonderful tuto. Very well explained !

Frank that was excellent work.

Extremely nice.... thank you.

Great video Frank!! regards from Peru

Thank you Frank !!

I didn't understand the use of the lambda function in the ordering section (3:09:40), as you are trying to lower() the values but none of those are becoming lower. Could you explain deeper what failed there?

Thank you for your guidance 😃

Very helpful thank you 🙏

With the new Excel Python integration can everything in this course be done directly in Excel now?

Best python tutorial at least for me

THANK YOU!

Conditional formatting is probably the most powerful feature of Excel. Would be tough to replicate these features (say highlighting duplicate values) in Python. Or no?

3:23:26 df_sales.pivot_table(index="Gender",aggfunc="sum") TypeError: datetime64 type does not support sum operations What to do ?

@bensl3308

6 ай бұрын

The only thing, that works for me! df_sales.groupby("Gender").sum(numeric_only=True)

execellent tutorial for a beginner

Love it. Thank you so much!

Great video thanks for posting

Like the way you have explained the concepts - thanks Frank. Not sure if I missed out, but I could not find anything related to tuples between the timestamp 0:39:10 to 1:21:50. Is it explained later?

Very good tutorial .Thank you

Great job sir

thanks you it's a very good course

Thanks needed

Great corse Frank! Thank you for sharing. I'm just about to the end and I'm getting error loading the gdp.csv? 'UnicodeDecodeError' Any advice on this? Thanks in advance... UPDATE: saved csv as excel and was able to parse the file.....

Great tutorial, was really explanatory, and really easy to catch up-

Is this only for Excel or any other program like the one from LibreO?

Great ❤️

In the section on reading a csv file to create a Dataframe, the syntax used by you, i.e df_exams = pd.read_csv('file_name.csv') doesn't execute as the file local directory is gonna be whole different as when tried in different PC local systems. Instead we can try using df_exams = pd.read_csv(r"file_name.csv") This syntax works perfectly.

@tical_fm

Жыл бұрын

You're right, i also used the second option.

@vignesh28kk

Жыл бұрын

i tried both the medthod, its not working

@vignesh28kk

Жыл бұрын

Do we need to include the path of that csv file?

@tical_fm

Жыл бұрын

@@vignesh28kk I copied the path of the file

@georgelam1878

Жыл бұрын

could someone advise where to download "StudentsPerformance.csv" file used in the course

Questions: does Jupyter Notebook have a feature to show the cursor horizontal location? PEP 8 says to limit lines to 79 characters, but I cannot tell where this is. Also, it the common style to put spaces in-between operators but not when including function arguments?

Awesome, Thank you

Awsm ❤️

I was going to watch another video. But Frank’s voice was nicer to listen to 😂

Excellent course! Help me to come through. :)

I love your content! Can you do a tutorial for using Redux arhitecture in Fluttter or can you tell me some resources to learn this arhitecture?

Thank you , useful course

💯Exceptionally awesome video clip