Hello. i watched this video and liked it a lot. nice studio, great project.i tried emulating the project but didn't workout so wanted to ask if this project supports intel(R) grahics. error message was invidia-smi not found. you really simplify python explanation. nice one. 👍
It works, just not on your graphics card! You can proceed with the entire tutorial using regular Pandas, rather than the cuDF Pandas library that we install on minute 15:30. Just keep working inside your ds environment. Do not switch to ds_gpu and do not install or import cudf.pandas. Your app will work just fine with the CPU based Pandas. As I mentioned in the video, you need a special kind of hardware to proceed with GPU processing. It's an optional step that only works with Nvidia based GPUs that support CUDA. Please try it again, but make sure to skip the cuDF Pandas section between minutes 15:30 and 18:10. Good luck! 😃
It would be amazing if you could make a video were you backtest the strategies. And the tutorial is great. You present everything very well and your fluent speaking (without any "aaahhhs") is amazing.
Thank you, Sinisa!!! Now when I've learned how to work with Scenarios - I like Taipy much more than before! When I filmed my previous tutorial, I don't think Scenarios even existed! (Or maybe I just missed them in the documentation... 🤷♀️) It was a bit challenging to learn them on my end, but I hope I explained the principles in an intuitive way so folks will not have the same struggles! 😀
@PythonSimplified I was curious for Flet too, perhaps try it too somewhere in the future. I like gui variety. Taipy is kinda like React for Python, I am getting that vibe, lol. Haven't tryed it myself though yet
This is amazing work. You are an awesome teacher. Would you ever consider a video showing how to host this application in taipy on your own web server? Thank you for the videos.
Flet is an awesome library.... But I personally think it's a bit too new to be deeply invested in. But maybe in the later future it can be awesome working with it
Absolutley! On top of historical mathematical patterns, stock values are also affected by world events and politics 🙂 To take the other 2 factors into account, we can probably use an LLM and create a substantially more advanced application that skews the prediction based on news items. It could be a nice project, but would require much more technical knowledge and real-time updates via fancy web sockets 😉
@@PythonSimplifiedcorrect.. event with xlstm we still have a long gap between prediction and real data for long term prediction. For short term maybe we still can use it
Hello Marya Thank you for your presentation, it's amazing and the contains are awesome. But i have one question can i use your method in case where i have for example a dataset with regions and each region we have a list of sites radiocommunications . Another question your predict values are per day value or whole the values between start and end dates?
do you have a video about how to install a WSL terminal. I attempted to install Window Subsystem for Linux but got this: Downloading: Windows Subsystem for Linux 2.3.26 Installing: Windows Subsystem for Linux 2.3.26 Catastrophic failure
I can't recreate your error, but I have a feeling it might be due to a partial installation of WSL that prevents you from running or installing a new one. Try the following: 1. run your Power Shell as administrator (administrator is very important!) 2. wsl --shutdown 3. wsl --install
Thanks for sharing such valuable information! Could you help me with something unrelated: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How can I transfer them to Binance?
Yup! That's a new TH-cam feature! All video are automatically captioned and translated! 🙂🙂🙂 I used to generate captions via Adobe Premiere and translate them via HuggingFace Transformers, it used to take HOURS to generate files for 8 languages... now I don't need to worry about it at all! 🥳 Thank you TH-cam!
Hi , I have this error "PackagesNotFoundError: The following packages are not available from current channels: - rapids=24.10*" then I used this command to check rapids version =====> conda search rapids -c rapidsai Loading channels: done # Name Version Build Channel rapids 0.0.1 pyh9f0ad1d_0 conda-forge It's just 0.01. so what's wrong with this. Thank you
Here's a quick troubleshooting checklist: 1. before you install RAPIDS, you need a compatible GPU. If you don't have an Nvidia Based GPU with CUDA capabilities - you shouldn't be installing RAPIDS in the first place. In that case, just skip the cuDF Pandas section from minute 15:30 to 18:10. Proceed with your initial "ds" environment, with the traditional CPU-based Pandas. The same commands that work with Pandas, also work with cuDF Pandas, so everything will work the same on you end (just a tiny bit slower, because CPUs are not very good at processing tasks in parallel). 2. in case your GPU hardware is compatible, but you're still getting this error. type "nvidia-smi" in your WSL terminal and see what version of CUDA your GPU driver has. Then, navigate to the official RAPIDS cuDF Installation Guide: docs.rapids.ai/install/ Select the following: - stable release - conda method - CUDA env that matches your version of CUDA - Python 3.11 or 3.12 - choose a specific package of cuDF And then, you can copy the generated command from the bottom into your terminal. Good luck and I hope it helps! :)
Hallo.. I use python (and other) since 2002 at work... there is so many stuff. I'm not sure.. was taipay also a thing for android ? For logic and data ... and everything you can solve on a commando line: python is the boss. Bur gui is a pain in the ass. For 20 years ongoing.
I'm so happy to see you in the comments again, Shoshana!!! 😀😀😀 It's been a long while, and I was wondering how you've been doing during these uneasy times! Glad you're still with Dell! (but very sad they're using a Java backend instead of Python 🤪 hahaha). Cheers, and have a fantastic rest of your week! וכמובן, שבת שלום!! וד"ש מקנדה המושלגת! 🙂
Hello. i watched this video and liked it a lot. nice studio, great project.i tried emulating the project but didn't workout so wanted to ask if this project supports intel(R) grahics. error message was invidia-smi not found. you really simplify python explanation. nice one. 👍
It works, just not on your graphics card! You can proceed with the entire tutorial using regular Pandas, rather than the cuDF Pandas library that we install on minute 15:30. Just keep working inside your ds environment. Do not switch to ds_gpu and do not install or import cudf.pandas. Your app will work just fine with the CPU based Pandas.
As I mentioned in the video, you need a special kind of hardware to proceed with GPU processing. It's an optional step that only works with Nvidia based GPUs that support CUDA.
Please try it again, but make sure to skip the cuDF Pandas section between minutes 15:30 and 18:10.
Good luck! 😃
@@PythonSimplified Ok. thanks very much.
You are undoubtly born with the gift of Teaching... You not only simplify things, but makes anything so much fun to learn! ! !
Yeeey! Thank you so much for the lovely feedback!!!
Super happy you like my teaching style! 🙂🙂🙂
Hi ! Thank You for providing this more 'advanced' and 'complete' Python Tutorial. Very engaging, helpful and useful !
Great coding channel 🤓
your voice is clear, well instruction, attraction, viral and lovely.
Genial, ya active la notificación para que me avise 👏
It would be amazing if you could make a video were you backtest the strategies.
And the tutorial is great. You present everything very well and your fluent speaking (without any "aaahhhs") is amazing.
Awesome preparation for this flawless lesson. Congratulations for your pedagogical methods,Maria. Salutations from France.
Merci beaucoup!! Glad you like this tutorial! :)
Fan here, please keep sharing your knowledge
Missed you. You helped me so much in my CS degree. Graduated this year 🎉
That's awesome!!!! Super happy to help!! Right now I'm only waiting for the grades on my final project - and then I'll finally graduate too! 😉
It's pretty cool 😎
great inspiration, happy to have found this channel
Thank you so much!!! Glad to have you on board! 😀
Like this Taipy thing, and you are killing it, Mariya 👍🏻
Thank you, Sinisa!!! Now when I've learned how to work with Scenarios - I like Taipy much more than before!
When I filmed my previous tutorial, I don't think Scenarios even existed! (Or maybe I just missed them in the documentation... 🤷♀️)
It was a bit challenging to learn them on my end, but I hope I explained the principles in an intuitive way so folks will not have the same struggles! 😀
@PythonSimplified I was curious for Flet too, perhaps try it too somewhere in the future. I like gui variety. Taipy is kinda like React for Python, I am getting that vibe, lol. Haven't tryed it myself though yet
I apologize for the delay. It took me 8 min to subscribe to your channel.
You must be a fellow Canadian if you apologize for something like that! 🤪 hahaha
Welcome aboard!!! I hope you find my videos helpful! 😃😃😃
@@PythonSimplified Yes I am, with a Greek background, unfortunately on the other side of Canada. Keep up the good work, you have talent!
This video was absolutely amazing and informative. Thank you so much for your useful, practical, and up-to-date tutorials!.👍
Thank you so much for the incredible comment!!! 🙂🙂🙂
Just found and subbed to your channel - amazing stuff!
Thank you so much, dear!!! Welcome aboard! 😀😀😀
Hola 😀.
Amazing video!! , amazing project!!, amazing python packages!!! and super amazing teacher!!! 👧
SALUDOS DESDE ESPAÑA 🇪🇸
So excited to try it
Awesome! Let me know how it goes! 😀
(and don't forget to share a link to your app if you end up customizing it! 😉)
This is amazing work. You are an awesome teacher.
Would you ever consider a video showing how to host this application in taipy on your own web server?
Thank you for the videos.
this is gold, lady
Amazing project, cheers!
Thank you so much!!! cheers! 🙂
wonderful, thank for this amazing tutorial 👏👏
Thank you so much for your comment! 😀
really excellent, god bless you
awesome video, thank you so much.
Thank you so much, dear! :)
Saludos desde MEXICO 🎉
Hola desde Canada!! :)
😮
Yeah good job , so appreciated
Thank you, dear!! :)
Awesome video
Thank you! :)
Oh yeah! 🎉
Next tutorial, Flet and python
Flet is an awesome library.... But I personally think it's a bit too new to be deeply invested in.
But maybe in the later future it can be awesome working with it
It actually looks pretty intuitive and simplistic! If I see more comments, I might cover it in the future (however, not in the next tutorial 😅)
@@PythonSimplified yeah, just play around with it ... (Desktop, web, mobile)All in one library💯
Buying & selling stocks & other assets for DECADES have noticed up & down statical patterns. BUT at times those patterns ignore other realities.
Absolutley! On top of historical mathematical patterns, stock values are also affected by world events and politics 🙂
To take the other 2 factors into account, we can probably use an LLM and create a substantially more advanced application that skews the prediction based on news items. It could be a nice project, but would require much more technical knowledge and real-time updates via fancy web sockets 😉
@@PythonSimplifiedcorrect.. event with xlstm we still have a long gap between prediction and real data for long term prediction.
For short term maybe we still can use it
Interesting. Stocks, finance. Thank you!
Is it possible to get values of Moving averages, like 200 daily MA?
Hello Marya
Thank you for your presentation, it's amazing and the contains are awesome.
But i have one question can i use your method in case where i have for example a dataset with regions and each region we have a list of sites radiocommunications .
Another question your predict values are per day value or whole the values between start and end dates?
do you have a video about how to install a WSL terminal. I attempted to install Window Subsystem for Linux but got this:
Downloading: Windows Subsystem for Linux 2.3.26
Installing: Windows Subsystem for Linux 2.3.26
Catastrophic failure
I can't recreate your error, but I have a feeling it might be due to a partial installation of WSL that prevents you from running or installing a new one. Try the following:
1. run your Power Shell as administrator (administrator is very important!)
2. wsl --shutdown
3. wsl --install
Thanks for sharing such valuable information! Could you help me with something unrelated: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How can I transfer them to Binance?
Greats
Owww. Now the videos have translation!
Yup! That's a new TH-cam feature! All video are automatically captioned and translated! 🙂🙂🙂
I used to generate captions via Adobe Premiere and translate them via HuggingFace Transformers, it used to take HOURS to generate files for 8 languages... now I don't need to worry about it at all! 🥳
Thank you TH-cam!
awesome
Hi , I have this error "PackagesNotFoundError: The following packages are not available from current channels:
- rapids=24.10*" then I used this command to check rapids version =====> conda search rapids -c rapidsai
Loading channels: done
# Name Version Build Channel
rapids 0.0.1 pyh9f0ad1d_0 conda-forge
It's just 0.01. so what's wrong with this. Thank you
Here's a quick troubleshooting checklist:
1. before you install RAPIDS, you need a compatible GPU. If you don't have an Nvidia Based GPU with CUDA capabilities - you shouldn't be installing RAPIDS in the first place. In that case, just skip the cuDF Pandas section from minute 15:30 to 18:10. Proceed with your initial "ds" environment, with the traditional CPU-based Pandas. The same commands that work with Pandas, also work with cuDF Pandas, so everything will work the same on you end (just a tiny bit slower, because CPUs are not very good at processing tasks in parallel).
2. in case your GPU hardware is compatible, but you're still getting this error. type "nvidia-smi" in your WSL terminal and see what version of CUDA your GPU driver has. Then, navigate to the official RAPIDS cuDF Installation Guide:
docs.rapids.ai/install/
Select the following:
- stable release
- conda method
- CUDA env that matches your version of CUDA
- Python 3.11 or 3.12
- choose a specific package of cuDF
And then, you can copy the generated command from the bottom into your terminal.
Good luck and I hope it helps! :)
@@PythonSimplifiedwow, how nice and details feedback. Thanks a million ❤❤❤
Nice
is it possible to get that file where you do all of that to do practice?
Sure! You can find the complete app on Github, inside the "complete_app" directory 😉
github.com/MariyaSha/data_science_dashboard
Solidity editor do they have one ? 😅❤
anyone having issue with the plotting of the company values ? ?? any idea how to fix it ?
What kind of issues are you having? And at which steps of the tutorial?
Hallo.. I use python (and other) since 2002 at work... there is so many stuff. I'm not sure.. was taipay also a thing for android ? For logic and data ... and everything you can solve on a commando line: python is the boss. Bur gui is a pain in the ass. For 20 years ongoing.
@@thomashering1482 GUI in python, you just have to be creative
Yay, Nice ezy pzy✌️
Don’t use Python as much as I used to Dell has me using Java Spring for server side Typescript for client side
I'm so happy to see you in the comments again, Shoshana!!! 😀😀😀
It's been a long while, and I was wondering how you've been doing during these uneasy times!
Glad you're still with Dell! (but very sad they're using a Java backend instead of Python 🤪 hahaha). Cheers, and have a fantastic rest of your week!
וכמובן, שבת שלום!! וד"ש מקנדה המושלגת! 🙂
👏
How do smart contracts work 😅
You are beautiful girl and with beautiful minds ❤❤❤
...Past performance is not indicative of Future Results
and yet somehow history tends to repeat itself 😉
@@PythonSimplified lol..
Still working for Dell I am a single mother now