Indeed, Python is so powerful and there's so much to discover. I love it (more now 😜)! Aw, I love them both too!! They are definitely the highlight of my days whenever I get to use them on the job 👯 Thanks for commenting and sharing this love for data viz, Luke 🙌
I just discovered your channel and I'm already astonished by the amazing content. Didn't know about this library and how it could be used to create dashboards. Thanks for sharing and keep it up! 🤙
Hey Adrià, yayyy thank you for discovering my channel 🙌🏽😄. So glad to hear you liked the content!! Still trying hard to keep more good videos coming! Thank you for watching and see you in coming vids!
I will start my Data science career and I am so thankful I found your yt channel🥰 you will be my partner for the rest of my life, you are amazing 👏 I hope one day being on the other side helping a lot of people around the world🤗
This is such a cool video! I am finishing my thesis on temporal sentiment analysis and really struggled to come up with some sort of easy to perform solution using Python for interactive dashboard. Thanks a lot!
When it comes to making data visualizations or dashboards I tend to use more ggplot2 and shiny. But this tool in Python looks amazing. I was trying to learn streamlit but I still preferred shiny. I will try panel by making this project. Thanks for your amazing content!
Hey Matias 👋. Glad you liked this little project! ggplot is my fav library in R as well, and for Python I use mostly matplotlib and seaborn to make static graphs. Then I discovered this Python lib and I thought, oh it’s also cool to be able to click and filter the charts within the notebook, I feel like I missed out so much fun 😅.
Same here. Love shiny. Only problem could be R´s GPL-license should you want to use/sell your dashboard as a product in a comercial setting. That is if I understand correctly.
Thank you for sharing this. I’m glad to have discovered your channel. It inspires me to represent data in a very clear and smooth way in a dashboard via python. One more word “Excellent”.
i'm so glad that i found your channel, I was looking for a way to create an interactive dashboard with python! 😊Thank you for this video . it was really informative.
somehow I forgot about this channel after Jan but after this vid I am back to being regular viewer . Thanks for bringing my 2 most favorite things together
If you want to deploy the dashboard as a web app to share with others, you can easily do deploy on Heruko or Azure etc. following the steps here panel.holoviz.org/user_guide/Server_Deployment.html
Please note the Jupyter-dash extension only enables you to start and embed the Dash Server. It does not enable the rich, 2 way interactivity between panel components across cells and python code. Panel is similar to ipywidgets in that regard and dash is not.
I use Jupyterlab and Panel. In my opinion, it is the most general and flexible solution from available dashboard tools (plotly dash, voila, streamlit). With panel 0.14.1 we have the capability of using it in Jupyterlite (Jupyter as static webpages, without need for server). For graphing, I found plotly to be more flexible and customizable than holoviews, hvplot, bokeh.
I'm here just to congrats you for your amazing channel. Today we have a lot of DS chanels, but unfortunaly there are some that are not so... Inspiring. Yours are just the opposite! Really good material here, Thu! Congrats and keep doing this awesome job.
@@Thuvu5 You're welcome! I got into data science field almost 5 months ago... Feel free to check my projects on LinkedIn! I sent you a connection request there!
Great content and video, I was in need of this last week for project. I cleaned and transformed the data in python, whilst for the dashboard part take advantage of Looker... I'll try to do the same with voilà. 😁
Hi Thu Vu how are you doing? Finally I am able to do dashboard visualization with panel from this tutorial! I tried streamlit & dash but could not and long hours wasted time! Appreciate your excellent teaching way!
Thank you so much for the tutorial. Very useful as I take the next step in my Python development, moving away from OpenPyXL and moving into interactive dashboards. Thank you thank you!
Hey Filipe, thanks for watching, and thanks for the suggestion 😀. That sounds like a nice idea to try out. One thing I'm always afraid of is that people in general don't have time to watch things in real-time. So it's kinda like a dilemma haha
Hey Matt! Thank you for taking the time to watch it 😉. I'm glad I made it as so many of you liked it so far. I definitely had fun researching and making the video as well (except for my stuffy nose, nothing to complain about 🤣).
super amazing Thu Vu, great n clear content, xlnt coverage. no brainer I subscribe. fair play to you, I used this dashboard for my project, made my life easy and elevated to project. keep up the great work. super thanks Thu, you are awesome.
Yesss I thought so too when I discovered all these amazing packages 😅. No more exporting data to Tableau to make dashboards for me ;). But I must admit that some advanced functionalities such as cross-filtering could be more complicated to implement in Python (in BI tools it's already automatic). Things like clicking on a bar in a bar chart and everything else will be selected based on that. Everything is definitely possible, just takes a bit more brain cells digging into Python package documentation I think 😅
@@Thuvu5 yes, i'll definitely be digging into the packages!! i'm still taking the first steps in data analysis, but i admit, im a sucker for pretty things, and those visualisations are so good and pretty! as soon as i can, i'll be digging into in!
@@thaypotterhead Aw so glad to hear someone also has this love for pretty things 🙌🏽. I've definitely spent way too much time trying to prettify stuff just because I like it🙈. Good luck with making things and can't wait to see what comes out!! 🤩
Just one word for you "AWESOME" 😉 I didn't know python is so powerful. Thanks to you. One thing though, you must get closer to the mic, I have to turn up the volume to hear you and the moment next thing comes up, my headphones go boom on my ears lmao. I don't mean any unfriendly comment BTW its just my experience 🙂
Haha thank you so much 😃👋. Oh I didn’t notice the volume of my video was so low. Thanks for letting me know, I’ll keep that in mind for the next videos 🙌
@@Thuvu5 I think some of the videos have low volumes, or I don't know, I listen on pretty low volumes maybe that's why I felt 😅 Also I love the way you say "portfolio projects" ☺️
This is an incredibly advanced visualization technique I would suggest that you make 4 hour video to explain it for us bit by bit slowly so that we can learn it and apply it Please What about a course in panel ?
