there is no substitute for a concrete example

I think the #pydata community is in healthy shape, not only do we have a choice in dataframe libraries (vaex pandas, Dask, Modin, RAPIDS AI cudf) almost as rich as the viz ecosystem, we also have the people bringing them together, thanks Marc Garcia !

You don't have to know CUDA to use a GPU. Rapids, CuPy, & Numba provide familiar SciPy APIs around GPUs. CuPy's interface is highly compatible with NumPy; in most cases it can be used as a drop-in replacement Matthew Rocklin #SciPy2019 cupy.chainer.org

tfw you forget to include "-y" when you conda install a package from inside jupyter

this new UI is going to be strongly correlated to RSI and carpal tunnel from forced increase in scrolling motions

Super stoked ODS picked this up! I’m also thrilled that I have the opportunity to be part of RAPIDS AI! This is the second time they’ve picked up a blog of mine!

"proceed to the route" - most useless Google maps direction ever

Is there a way to "mute" a thread I participated in once, but no longer want notifications for? Slack

Spring has sprung, and working outdoors is a thing again. So is lawn-mowing and blowing and general gas powered noise-making :|

gm Remember to set index=False when saving the csv files today. You are welcome.

Thanks to the hard work of Brandon Miller, the Numba CUDA examples section is much-expanded with nice examples of CUDA target features: shared memory, cooperative groups, forall loops, random number generation, and CPU/GPU jit function interop: numba.readthedocs.io/en/latest/cuda…

I like to think of Python as an API for compiled languages.

Aaron Swartz would have been 36 today. Aaron committed suicide after being sentenced to 35 years in prison by US authorities for transferring and sharing scientific articles from JSTOR.

Transforming data is the one of the most evergreen skills. Everything you do these days is powered by data. If you know how to transform that data to make it useful you have a superpower. It doesn’t matter if you use SQL, Python, Excel or any other tool. I of course prefer SQL

Unpopular opinion: .csv files *are* a database.

Code is so much easier to understand than math notation for me. I hope that all math classes can be taught in code sometime soon lol

We have been hard at work together with DGL folks to accelerate graph neural networks at scale . Checkout my new blogpost to learn more about accelerating GNN training with cugraph and dgl . developer.nvidia.com/blog/introduct…