Day 5 of the JuliaCon workshop series is starting shortly (~15 mins @ Sat 24th July at 2pm UTC)
Simulating Big Models in Julia with ModelingToolkit
* https://t.co/SJ9Rrt0VbZ
Package development: improving engineering quality & latency
* https://t.co/vdoJCuRbDA
#JuliaLang
Writing code is about making your computer do what you need.
Writing good code is about enabling teams of strangers 5 years from now to make their computers do what they need.
We just landed support for the JupyterLab debugger in ipykernel! Stay tuned for the next release.
Really happy to get to work on this at @QuantStack.
https://t.co/pWcXMimcOo
SymPy is participating in @gsoc again this year. If you are a student interested in applying, take a look at our ideas page and discuss them with us. https://t.co/A0GL4mUiqB
I had gotten behind on StackOverflow #Dask questions (sorry folks!)
On the other hand it always feels productive when you see this warning from StackOverflow over a dozen times in an hour :)
poliastro 0.14.0 is here 🚀 New `Ephem` objects to work with ephemerides, robust propagation in all eccentricity regimes including near parabolic orbits, new color palette, and much more! Check out the complete release notes https://t.co/6kA0RWN9Re
Scientific Machine Learning, abbreviated SciML, has been taking the academic world by storm as an interesting blend of traditional scientific mechanistic modeling with machine learning methodologies like deep learning. Read more here, https://t.co/mFXIiNR4M1
#julialang#ML
There are many ways to contribute to the NumPy project beyond code. Meet Mars Lee who is helping us to redesign https://t.co/xU2vxWmTTi https://t.co/V06HW2JY5C
Coming soon: the ability to parallelize and distribute feature engineering computations in Featuretools using @dask_dev.
Best part? No API changes. Just swap in Dask DataFrames for Pandas and see speedups on large datasets.
Sneak preview @ 20x:
Numba 0.49.0 is released! While we were busy refactoring the internals, our community stepped up to add some exciting new features: first class function support, OpenMP-style thread pool control, external CUDA memory management interface. Full details: https://t.co/nJFfDT0Rdm
Sphinx just released a new major version! 🎉🎉
https://t.co/J8fZ5FaQlP
Sphinx is such a crucial and under-appreciated tool in the Python ecosystem, congrats to the devs and the broader @readthedocs community.
Since we cant all meet in person this year for #pyastro20 we will instead be hosting a remote hack event 😃More details to be released soon about how to join in but for now keep April 23 and 24 free!
We just hit 2000+ people in the conda-forge organization on GitHub!
This is such an amazing milestone to get here from a table of 5 people in a basement during the @SciPyConf sprints.
Thanks to everyone who has helped us grow over the years!
https://t.co/r3tp6L9lv8
Did you know that https://t.co/4iRXo639GZ serves 800 million requests and delivers 200 million packages totalling 400 terabytes ... a day? No. Exactly. You want it to just work. Every day 🗓, rain ⛈ or shine ☀️. To keep it that way: sponsor them https://t.co/0l2fZDgTlV