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Complexitty v1.1.0 I've just released Complexitty v1.1.0, which adds an optional faster mode.

I just released v1.1.0 of Complexitty, my little #Mandelbrot explorer for the #terminal. This release is all about an optional method of making it faster.

#python #programming #textual #numba

blog.davep.org/2026/02/28/c...

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Complexitty v1.1.0 ![Complexitty](https://complexitty.davep.dev/)

I just released v1.1.0 of Complexitty, my little #Mandelbrot explorer for the #terminal. This release is all about an optional method of making it faster.

#python #programming #textual #numba

blog.davep.org/2026/02/28/complexitty-1...

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Achieve incredible computing capabilities with our #GPU Programming workshops. We will teach you the basics knowledge of #Numba and #CuPy required to start a journey in the world of GPUs. Registration for our GPU Programming workshop is now open!
👉 buff.ly/gHllLb1

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Currently playing with adding optional #Numba support to Complexitty; my #Mandelbrot plotter for the #terminal. The speedup is okay.

Given this zoom and position, on my M2 Mac mini, 0.8 seconds. With Numba: 0.2 seconds.

I should give it a spin on my M2 Pro […]

[Original post on fosstodon.org]

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Webinar | Python on GPUs how hard can that be
Webinar | Python on GPUs how hard can that be YouTube video by EPICURE Project

Our EPICURE webinar “Python on GPUs: how hard can that be?” is 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻𝗹𝗶𝗻𝗲!
Learn how to accelerate workloads with #Numba and discover how to fix performance challenges. If you want to push your #Python applications, this is a must-watch.

Watch here 👇
youtu.be/oNrJ4Pn893U

#Webinar #HPC

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Made with #python #numpy #numba #matplotlib

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White banner promoting the upcoming webinar "Python on GPUs, how hard can that be?" with information about schedule, speaker and moderator.

White banner promoting the upcoming webinar "Python on GPUs, how hard can that be?" with information about schedule, speaker and moderator.

⏰ 𝗟𝗮𝘀𝘁 𝗰𝗮𝗹𝗹 𝘁𝗼 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗣𝘆𝘁𝗵𝗼𝗻 𝗼𝗻 𝗚𝗣𝗨𝘀, 𝗵𝗼𝘄 𝗵𝗮𝗿𝗱 𝗰𝗮𝗻 𝘁𝗵𝗮𝘁 𝗯𝗲?
Learn how to use Numba and solve common performance challenges.

🗓 TOMORROW | 3:00 pm (CET)
📢 @gjbex.bsky.social (@vschpc.bsky.social)
🔗 Register here: shorturl.at/gnGvp

#EPICURE #Webinar #HPC #Numba
@inesctec.bsky.social

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Made with #python #numpy #numba #matplotlib

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𝗝𝗼𝗶𝗻 𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗣𝘆𝘁𝗵𝗼𝗻 𝗼𝗻 𝗚𝗣𝗨𝘀, 𝗵𝗼𝘄 𝗵𝗮𝗿𝗱 𝗰𝗮𝗻 𝘁𝗵𝗮𝘁 𝗯𝗲?

Learn how to use Numba and the solutions to overcome potential performance issues.

🗓️ Date: November 28, 2025 | 2:00 pm (WET)
🔗 Register here: shorturl.at/gnGvp

#EPICURE #Python #Webinar #Numba
@vschpc.bsky.social

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Back to the origins...
"Eigen-man"
Made with #python #numpy #numba #matplotlib

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Workshop Wednesday: Engineering Star Trek with Data Science YouTube video by The Bajoran Engineer @ SciPy 2025

Successful 1sr live stream of the series! We scoped a few projects for an hour. Next week we start building. #scikitlearn #scikitimage #tensorflow #rapids #cuML #pyscript #numba #scipy #jupyter #wagtail

Check the replay: www.youtube.com/live/aHunV_U...

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Cybernetics and Ghosts
As Italo Calvino wrote: "The more our houses are illuminated and prosperous, the more their walls drip with ghosts". Generative AI and its phantoms, both predicted by Calvino in 1967.
Made with #python #numpy #matplotlib #numba

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🐍 Road to PyCon Bologna 🇮🇹
#PyCon2025 #Python #Bologna #TechConference #Community

Made with #python #numpy #matplotlib #numba

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I Love Chaos: Part 2 #mathart

Made with #python #matplotlib #numpy #numba.

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I love chaos.
Made with #python #numba #numpy #matplotlib

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Another one!
Made with #python #numpy #numba #matplotlib

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A video of my Orbits #mathart.
Made with #python #numpy #numba #matplotlib

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Boost Python Performance with Numba: JIT, GPU & High-Performance Computing Boost your Python performance with Numba's JIT compilation, GPU acceleration, and high-performance numerical computing for faster, efficient code.

🚀 Python's elegant syntax can slow you down for heavy computation. Enter Numba—a JIT compiler that transforms your code into C-like speed with GPU acceleration,

#Python #Numba

open.substack.com/pub/pythonli...

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Numba Card Game Review - What's Good to Play The Numba Card Game is a game for 2-5 players, age 4+, with a playing time of around 15 minutes. It is a delightful and engaging number game designed for kids and families.

#REVIEW Numba Card Game - the maths game of matching fruits "great fun for players of all ages, putting observation skills to the test and is excellent at helping younger players improve their counting skills, number recognition, and quick thinking ⭐️⭐️⭐️⭐️⭐️" whatsgoodtoplay.co.uk/numba-card-g... #Numba

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Just implemented `scipy.optimize.linear_sum_assignment` in #CUDA with #numba. Gotta figure out how to better pack cost-matrices into a tensor. I could sort the cost matrices based on longest dimension and pass them in small batches; Let's see.

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Article Makina Corpus : CPU vs GPU : Quand faut-il vraiment passer à la vitesse supérieure ? Dans ce 3ème et dernier volet de notre série sur le calcul GPU avec Python, Gaël Pegliasco explore la frontière de la performance entre CPU et GPU :

Article Makina Corpus : CPU vs GPU : Quand faut-il vraiment passer à la vitesse supérieure ? Dans ce 3ème et dernier volet de notre série sur le calcul GPU avec Python, Gaël Pegliasco explore la frontière de la performance entre CPU et GPU :

Article Makina Corpus : CPU vs GPU : Quand faut-il vraiment passer à la vitesse supérieure ? Dans ce 3ème et dernier volet de notre série sur le calcul GPU avec Python, Gaël Pegliasco explore la frontière de la performance entre CPU et GPU :

Article Makina Corpus : CPU vs GPU : Quand faut-il vraiment passer à la vitesse supérieure ? Dans ce 3ème et dernier volet de notre série sur le calcul GPU avec Python, Gaël Pegliasco explore la frontière de la performance entre CPU et GPU :

Article Makina Corpus : CPU vs GPU : Quand faut-il vraiment passer à la vitesse supérieure ? Dans ce 3ème et dernier volet de notre série sur le calcul GPU avec Python, Gaël Pegliasco explore la frontière de la performance entre CPU et GPU :

Article Makina Corpus : CPU vs GPU : Quand faut-il vraiment passer à la vitesse supérieure ? Dans ce 3ème et dernier volet de notre série sur le calcul GPU avec Python, Gaël Pegliasco explore la frontière de la performance entre CPU et GPU :

Article #IA / #DataScience#GPU vs CPU : quand choisir l’un ou l’autre ? Quand un GPU est-il plus rapide qu’un CPU ? Dans cette dernière partie, découvrez comment optimiser vos calculs sur GPU avec #Python et #Numba. 🐍 Résultats surprenants à la clé : makina-corpus.com/data-science...
#CUDA

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Numba Competition - What's Good to Play COMPETITION: We have THREE copies of the fun and educational Numba card game to be won! A matching card game where observation and maths skills are put to the test. Competition ends 28/02/25. UK only.

#COMPETITION: Win a copy of the fun and educational #Numba card game - we have 3 to be won!

To enter for your chance to win, visit whatsgoodtoplay.co.uk/numba-compet...

Competition ends 28/02/2025. UK residents only.
#Numba #CardGame #WhatsGoodToPlay

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Numba Card Game Review - What's Good to Play The Numba Card Game is a game for 2-5 players, age 4+, with a playing time of around 15 minutes. It is a delightful and engaging number game designed for kids and families.

#REVIEW Numba #cardgame "Simple and fun; it’s also #educational. Great fun for all ages, putting observation skills to the test and is excellent at helping younger players improve their counting skills, number recognition, and quick thinking" whatsgoodtoplay.co.uk/numba-card-g... #Numba #Maths

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In [9]: %timeit farnocchia_coe_numba(k, p, ecc, inc, raan, argp, nu, tof)
445 ns ± 2.3 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)

In [10]: %timeit farnocchia_coe_rust(k, p, ecc, inc, raan, argp, nu, tof)
271 ns ± 1.83 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)

In [9]: %timeit farnocchia_coe_numba(k, p, ecc, inc, raan, argp, nu, tof) 445 ns ± 2.3 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each) In [10]: %timeit farnocchia_coe_rust(k, p, ecc, inc, raan, argp, nu, tof) 271 ns ± 1.83 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)

Coming soon 🥁

#python #numba #rust

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The Quest for Performance Part IV : May the SIMD Force be with you At this point one may wonder how numba, the Python compiler around numpy Python code, delivers a performance premium over numpy. To do so, let’s inspect timings individually for all trigonometric func...

The Quest for Performance series from my blog discussing #python #numpy #numba, #rstats @openmp_arb #openMP enhancements of #Perl code and #simd
chrisarg.github.io/Killing-It-w...

dev.to/chrisarg/the...

chrisarg.github.io/Killing-It-w...

chrisarg.github.io/Killing-It-w...

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The Quest for Performance Part II : Perl vs Python Having run this toy performance example, we will now digress somewhat and contrast the performance against a few Python implementations. First let’s set up the stage for the calculations, and provide ...

For whatever is worth, a couple of comparisons for numerical tasks involving #python (all varieties, base language, #numba, #numpy) , #rstats, and (you read it correctly) #perl

chrisarg.github.io/Killing-It-w...

#perl has an autothreading library, #pdl that's 🔥
chrisarg.github.io/Killing-It-w...

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Made with #python, #matplotlib, #numpy and #numba.

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HPAT, a High Performance Analytics Toolkit in #Python based on #numba and #LLVM intellabs.github.io/hpat/_build/html/source/...

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