Many new contacts in my LinkedIn network are asking me for some resources to begin their data science journey🤓. I don't want to share a structured ...
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Nice! Python Visualisation landscape is maturing at the speed of light. There is pyviz index listing and updating 98% of tools out there
Plotly + dash is pretty much the perfect option for me. So much flexibility and customisation options but with very sensible defaults making it really quick and easy to build even production apps quickly
I've been using Streamlit for its simplicity and speed, but I find it quite limited in scalability. Let's give Taipy a try as well... to be continued...
I like this one, thanks for the list! keep on going!
Data viz is definitely my favorite step, but I hate date cleansing, it's driving me crazy!
Have never heard about Gradio... Is it new or so old that it's passed...? :p
Taipy looks interesting!
Matplotlib is robust, but Bokeh is more design!
I like data cleansing...🧹
I've tried Bokeh and I find it quite complete. Let's give Taipy a try, I've been hearing about it a lot lately 🧐
Thanks, like this one!
If Matplotlib is the grand-father, and "Built on top of Matplotlib, Seaborn extends its functionality", => Seaborn is the father, right? 🤣🤣🤣
"As the grandfather of Python visualization tools..." This is soooooooooo true 😂😂😂
Indeed, the journey from raw data to insightful, compelling visualizations is pivotal in data science, transforming complex datasets into narratives that captivate and educate. Thanx! ⭐
Didn't know that Plotly had evolved to that level! However, if Taipy includes Plotly, I'll definitely give this a try! Thanks for sharing 👩🏻💻
This list is amazing! I'll definitely keep it for 2024 🤓
Taipy looks crazy! 🤯
Haha, definitely love your cover!
Wow! really nice list, saved it to try each of them later!
These are definitely the 7 best
Taipy, you've got my star on the repo, and I'll be following your updates. Looks like a promising library
Like this one... following you for more insights
They are definitely gateways to understanding and interacting with data in ways that were previously unimaginable