The future of python in the browser is here for Bokeh Visualization Library. This is an example of a Bokeh Visualization Library app that with a few tweaks can be converted to webassembly using 'panel convert' and deployed to GitHub pages. NO SERVER REQUIRED 🧵👇 Panel #python #dataviz #datascience Sean Law 🇨🇦

Yuichiro Panel And it can actually also convert Bokeh Visualization Library apps with a few tweaks. Here is a Bokeh Visualization Library app showcasing #stumpy by Sean Law 🇨🇦 Code: github.com/awesome-panel/… Apps: awesome-panel.github.io/examples/

I’m a big fan of stumpy by @Seanmylaw, matrix profiles and time series motifs. I highly recommend you check it out. stumpy.readthedocs.io/en/latest/Tuto… github.com/TDAmeritrade/s…

🙏 Thanks .Federico Carrone! We’ve been working hard over the past year to expand core .stumpy features, significantly improve the speed/performance, and increasing the stability of the codebase (without sacrificing 100% code coverage). We’re excited so please stay tuned! 👀

Sean Law 🇨🇦 stumpy I've been following the development and it's really amazing. Congrats!

For example, you can share Bokeh Visualization Library apps like the #Stumpy app by Sean Law 🇨🇦. App: sharing.awesome-panel.org/seanlaw/stumpy… Code:awesome-panel.org/sharing?app=se… 🧵👇

Did you know the hvPlot and the HoloViz ecosystem can help you do well in Kaggle competitions? Check out "Horse Racing - Welcome to the Machine" notebook that won silver kaggle.com/code/jpmiller/… Panel #dataviz #dataanalysis #datascience #analytics #HorseRacing

Check out the #Stumpy Bokeh Visualization Library app by Sean Law 🇨🇦 App: sharing.awesome-panel.org/seanlaw/stumpy… Code: awesome-panel.org/sharing?app=se…

In fact, methods like STUMPY exist for this. Unlike the deep, 768/1536-dimensional embedding representations you need in NLP, "matrix profile" methods like STUMPY are pretty low-dimensional. In other words: simpler models for simpler representations. Now, the practicalities:

You would not use spoon 🥄 as a fork 🍴 or a knife. Why would data scientists try to use forecasting to solve anomaly detection problems. This is so wrong. Anomaly detection is an own domain that has its own methods. One of the pitfalls of #datascientists is trying to treat

Valeriy M., PhD, MBA, CQF Thanks .Valeriy M., PhD, MBA, CQF! You can learn more about .stumpy by visiting: stumpy.readthedocs.io/en/latest/

🔥 STUMPY 1.12.0 has been released! Highlights: - 🚀15-20% speed boost - 💪Efficient top-k nearest-neighbors - ❤️Better handling of constant subsequences - 😱.Numba function caching - 🐍#python 3.11 support - 🎢And much more! 📄Find out more: github.com/TDAmeritrade/s…

👉 This long-awaited .stumpy release (for modern time series analysis) has finally dropped and is packed full of goodies and even more of the high quality docs that you’ve come to love and expect! 😍 📣 Special thanks to .Nima Sarajpoor for all of his many, many contributions!

STUMPY is one of the most powerful time-series analysis methods (and my personal favorite)... and it quite literally is just a distance vector. I would say every library should have an explainer written this clearly, but not every method is so elegant and simple!

Mark Tenenholtz Thank you for your kind words .Mark Tenenholtz! .stumpy has been a labor of love and feedback like this (especially on the tutorials) means a lot!

#Stumpy is a powerful and scalable Python library for identifying repeating patterns in your timeseries via a matrix profile. 👉Check out this Panel Stumpy app awesome-panel.org/resources/stum… #python #dataviz #datascience #Analytics #timeseries Sean Law 🇨🇦

A huge welcome to stumpy as a new NumFOCUS Affiliated Project! STUMPY is a powerful & scalable Python package for modern time series analysis & works to provide scientific researchers & data scientists with scalable & high-performance software for computing matrix profiles.

😍 I'm super excited to be back at SciPy this year where I'll be presenting a quick intro to "modern time series analysis with matrix profiles" using STUMPY! If you are also attending the conference please say, "hello" 👋

🔥 STUMPY 1.13.0 has been released! Highlights: - 🚀 Easier-to-Use Matrix Profile (Array) Data Structure - 💪 NumPy 2.0 Support - ❤️ pyproject.toml Adoption - 😱 Improved Docs and Testing - 🐍 Python 3.12 Support - 🎢 And Much More! Find out more: github.com/TDAmeritrade/s…

🔥 My recent .SciPyConf 2024 talk on ".stumpy Modern Time Series Analysis with Matrix Profiles" is now available! 🙏 Please share with your network 🚀 youtube.com/watch?v=0O6dlq…