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Numba and especially njit are such insane performance boosters for Python, it's almost funny 🤓

Paul Butler Sperghetti '(Robert Smith) And whatever I can't do in these, I wrap in Numba and the world is beautiful. This is an example: all GPU, except that one specific function that you *really* want on CPU. github.com/EEA-sensors/pa…

😍 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" 👋

The result of our SciPy 2024 LPython talk:

🚀Have you ever wondered, "my code works, but its too slow!"? In our upcoming live course, you’ll learn the best practices for applying the #Numba JIT compiler to an existing project. We'll also explore factors impacting performance of a #Python program. Registration link below:

Numba Activity Newsletter for June. numba.discourse.group/t/numba-activi… -- lot's of work around the new PIXIE tool, ongoing NumPy 2 support and LLVM upgrades. 💪

Numba Activity Newsletter for July 2024 - steady progress! numba.discourse.group/t/numba-activi… #numba #python #opensource #numba

Numba Activity Newsletter (NaN) for August 2024 numba.discourse.group/t/numba-activi… 🚀 we've been presenting our recent innovations at community conferences! 📽️

Numba continues to be a quiet but powerful tool in the Python high-performance arsenal.

📣 Ask CUDA Python questions to experts! Join the LIVE event "CUDA Virtual Connect with Experts" this Friday, September 27th at 10am PT. Discuss CuPy, Numba Numba, RAPIDS @rapidsai, or CUDA Python ecosystem with NVIDIA experts. linkedin.com/posts/katrinar…

Looks like Numba and PyTorch communities have some overlapping interests 🔥 excited to see how this will unfold: github.com/numba/numba/wi… -- come join the dev meeting next week (calendar.google.com/calendar/u/0/e…) if you are interested in this and would like to contribute to discussion

I used Numba to speed up the calculations. And HoloViews to plot the results and provide interactive plotting features.

The seam carving algorithm lets you resize an image along a single dimension by removing "dead space", without distortion or cropping Inspired by Grant Sanderson, Vincent D. Warmerdam ported this example from Pluto.jl to marimo. ~ featuring mo caching and Numba for performance

What a difference an algorithm makes! I added an implementation of Philip Clausen's dynamic neighbour-joining to anjl, so simple yet crazy fast. Short blog post on NJ algorithms, plus a couple of small things I learned about accelerating Python code with Numba ...

Today, PyData NYC 🗽 kicked off with a tutorial on GPU Accelerated Python! Numba, CuPy, and RAPIDS AI are all great ways to accelerate your code. Check out the full tutorial on the NVIDIA Accelerated Computing Hub to learn more: github.com/NVIDIA/acceler…

📣📣📣 Announcing the availability of our latest release candidates: Numba 0.61.0rc1 and llvmlite 0.44.0rc1. Now with support for Python 3.13 🏋️ You can find more details on our Discourse at: numba.discourse.group/t/ann-numba-0-… #oss #python #numba #hpc #compiler #fast

GPU Acceleration in Python Using Python libraries like @rapidsai and Numba, we can combine Python’s simplicity with GPU’s computational capabilities. No need to dive into CUDA C/C++ programming.