👉 *Excel Add-in to combine Python & Excel + a ton of other powerful features: **pythonandvba.com/mytoolbelt* I will be here in the comments section if you have any questions regarding the video! ✌
I'm telling everyone at work about this... Awesome Job. Not sure why people just don't hit the like button for great stuff like this... And I'll make sure to comment every time too. Specially cause I know you read the the comments. Thank you for making coding fun.
Fantasitc tutorial! Simply a standout tutorial. The clear and precise explanation of complex content is great. I am encountering some of the methods for the first time, although I have seen quite a few videos on this topic. I particularly like the lack of filler words and repetition. Every sentence seems well thought out. This makes is easy to follow. The whole content is structured. The video is just great!🥳 Thank yo so much.
Thanks for watching the video & your video suggestion. Sounds like an exciting video topic / playlist. I cannot make any promises, but l will see what I can do.
Sven, can you please make a video about parsing nested json format into structured/tabular format. I am unable to find good tutorials on pd.explode and pd.json_normalize. Please help
You can install Jupyter Notebook Extensions. The extension is called 'Collapsible Headings' [No. 10 in the following blog post]: www.analyticsvidhya.com/blog/2022/02/11-extensions-to-power-up-your-jupyter-notebook/
Thanks for watching. Glad you liked the video and welcome aboard! :) The likes to view ratio is already in percent. 1 means 1% of the viewers 😭 Do not forget to like the video 😅
Can you help me write a tool, to convert audio files to text and put the results into word files. I'm currently using online conversion sites but haven't found a satisfactory choice yet
Thank you very much for watching the video and your comment. Your requirements are well noted. Yet, I receive many requests for creating individual solutions. As much as I want to help, I simply do not find the time in my daily schedule to develop & test all the different requests. I hope you can understand. Thank you!
👉 *Excel Add-in to combine Python & Excel + a ton of other powerful features: **pythonandvba.com/mytoolbelt*
I will be here in the comments section if you have any questions regarding the video! ✌
I'm telling everyone at work about this... Awesome Job. Not sure why people just don't hit the like button for great stuff like this...
And I'll make sure to comment every time too. Specially cause I know you read the the comments.
Thank you for making coding fun.
As always, thank you very much for all your support and comment! ♥
*Happy Coding!* ✌
I can't believe how thorough this is! Super helpful
Glad it was helpful, Florian! As always, thank you very much for your support! I appreciate it! ♥
Fantasitc tutorial! Simply a standout tutorial. The clear and precise explanation of complex content is great. I am encountering some of the methods for the first time, although I have seen quite a few videos on this topic.
I particularly like the lack of filler words and repetition. Every sentence seems well thought out. This makes is easy to follow. The whole content is structured. The video is just great!🥳 Thank yo so much.
Loved reading your comment! 😍 Thanks for the support and your comments! Happy Coding! Cheers, Sven ✌️
I am a big fan of your training style! Can you please produce a series of Python|Pandas using best practices on a real-world case study?
Thanks for watching the video & your video suggestion. Sounds like an exciting video topic / playlist. I cannot make any promises, but l will see what I can do.
th-cam.com/play/PLWuFHho1zKhUJpe9WfSyvrrQrzqDErbmv.html
Yehhh... searching in internet practical tasks , no success ....
I was waitig for your video 😁 Thank you :)
Hope you enjoyed it! Thanks for watching! 👍
Great videos. These have translated directly for some of my job functions. Helps a ton!
*I am glad to hear you are enjoying them, thanks for watching and for the comment!*
Thank you for that one! It is going to help in future projects. Very well explained !!!
Happy to hear that it was useful and that it will help in future projects. Happy Coding! :)
This is the best tutorial I have come across online. Thank you so much
Thanks for the positive feedback! Appreciate you taking the time to leave a comment. 👍
Thank you so much for this amazing tutorial. I'm learning pandas atm and this is really helpful!
keep up the good work 👍🏽
Happy to hear that it was useful; thank you for taking the time to leave a comment and for watching the video!
Love the practicality of your videos
Glad you like them! Thanks for watching and taking the time to leave a comment! 👍
Thank you for your great effort, absolutely perfect video!
An absolute pleasure, very happy to hear that you found it useful! 😀
Thank you for your videos. Amazing
Glad you like them! Thanks for watching! -Sven ✌️
Thank you for this great tutorial.
Thanks for the positive feedback! Appreciate you taking the time to leave a comment.
Hi Sven, Thanks for the video. is fantastic! Do you have de csv file with the data used for this video? when i can downdoad it?
Thanks for watching. Happy to hear that you like the video. Here is the link to the csv file: pythonandvba.com/youtube-data.csv
Fantastic tutorial, thanks.
Glad you liked it. Thanks for watching. 🤩🤩
Great video,very useful
Glad it was helpful! Thanks for watching :)
Great new ideas for everydays work. TY
Glad you liked it. Thanks for watching and taking the time to leave a comment! 🤩
Thank you so much, and i appreciate your effort ♥
You're very welcome! Thank you for watching and for the comment!
You are the best!!!!
Thank you! ♥
Thank you for your efforts
You're very welcome! Thank you for watching and for the comment!
You are amazing!
It's very kind of you to say so, thank you!
Sven, can you please make a video about parsing nested json format into structured/tabular format. I am unable to find good tutorials on pd.explode and pd.json_normalize. Please help
Thank you for watching the video & your suggestion.
The sections dropdown of your notebooks is a feature of jupyterlabs?
You can install Jupyter Notebook Extensions. The extension is called 'Collapsible Headings' [No. 10 in the following blog post]:
www.analyticsvidhya.com/blog/2022/02/11-extensions-to-power-up-your-jupyter-notebook/
@@CodingIsFun Thanks! Really cool features
Great video!!!!!!!!!!!!!!!! +1subscriber!
Question> how it is posible that in 14:21 you have a like to view ratio higher than one?????
Thanks for watching. Glad you liked the video and welcome aboard! :)
The likes to view ratio is already in percent. 1 means 1% of the viewers 😭 Do not forget to like the video 😅
@@CodingIsFun Sorry 4 being such a noob... I'll promise my next question is gonna be a good one!
Can you help me write a tool, to convert audio files to text and put the results into word files. I'm currently using online conversion sites but haven't found a satisfactory choice yet
Thank you very much for watching the video and your comment. Your requirements are well noted. Yet, I receive many requests for creating individual solutions. As much as I want to help, I simply do not find the time in my daily schedule to develop & test all the different requests. I hope you can understand. Thank you!
hey, where can i get this dataset? kindly help
Yes, here is the link from the description box: github.com/Sven-Bo/pandas-tutorial-analyzing-data-with-python
i was missing your splendid videos. would be asking much to appear once a week ?
I was on vacation. I am trying to upload weekly, but I cannot make any promises.
@@CodingIsFun Thank you again. I hope you had a great vacation.
How long does it take to learn the Python from the beginning , If I take lessons every day!? Shall I know the math deeply?
I would say that it's a never-ending learning journey. There's always something new to learn. 😅 Happy learning & coding! :)