#scipy2020 search results
At the #SciPy2020 sprint today, I contributed two new features to @matplotlib! Colormaps now have pretty representations in @ProjectJupyter notebooks, and Figure objects can be displayed as images without requiring @IPythonDev "%matplotlib inline" or pyplot. #OpenSource 🌈📈
It’s time to learn more about scientific computing in #Python! Looking forward to the next tutorials of #SciPy2020 @SciPyConf @SciPyTip @numpy_team @PyTorch #Science #ScienceAtHome #MachineLearning #PyTorch @ETH_en @ETH_physics
.@DrAnneCarpenter with some good advice for keeping software alive: make a choice about your target audience, leverage your time, and find funding. #SciPy2020
#SciPy2020 lightning talks thread!!! ⚡️⚡️⚡️🌩️🌩️🌩️ decided to put myself in charge of 🐦ing them since @jkru and @munkium are doing 10^6 other things @SciPyConf this year Plz RT & share so we can amplify the great work of these contributors! roughly in order of appearance
Watching #SciPy2020 plenary talk: What are your (really) measuring when you analyze race (in data science and machine learning)? -- Dr. Bonny McClain
Mu Sigma is proud to sponsor the virtual #SciPy2020 event. Visit our virtual expo hall: lnkd.in/dEwegaz from 6th July – 12th July. With 900+ participants from various domains, learn and collaborate on code development #Python @SciPyConf
Nice summary of feature selection in scikit-learn at #SciPy2020 ML by Ane Comesana: youtube.com/watch?v=ENOf0I…. True, Seq. Feat. Sele. is unfortunately not impl. in sklearn (but in mlxtend 🙂 rasbt.github.io/mlxtend/user_g…). However, it's coming to sklearn soon!!! github.com/scikit-learn/s…
This week i'm at @SciPyConf #SciPy2020. The joy of having a conferences fully online is that it's easy to attend for just a few talks. While I do appreciate meeting colleagues in person, it's great to be able to drop in and out while balancing everything else going on.
Looking for something new to watch? #SciPy2020 videos are now on YouTube. Check them out at youtube.com/user/Enthought…
Nice #SciPy2020 talk about RAPIDS by Joe Eaton. About eliminating main bottlenecks: not computational perf. (GPUs are plenty fast) but data movement & conversion related. youtube.com/watch?v=RniE3v… (PS: Members of the RAPIDS team & I wrote about it here :) mdpi.com/2078-2489/11/4… )
Great #SciPy2020 ML talk by @jacobml_mx on "Learning from Evolving Data Streams:" youtube.com/watch?v=sw85SC…. ML on streaming data is sth I never worried about in my research projects, but it's very interesting to think about! Also see scikit-multiflow: github.com/scikit-multifl…
To celebrate #SciPy2020 opening I’m happy to present @bokeh in @matplotlib (almost) Actually, it’s a scatter plot + render to array + gaussian blur…
Oh no! Reached the end of the #SciPy2020 ML playlist! But it ended with a bang! Remember Ray (the distr. Pandas lib.)? It evolved into a whole ecosystem for workflows that are (now) overlapping (ML training, serving, etc). Great talk by @robertnishihara : youtube.com/watch?v=XIu8ZF…
Thanks to @datascience_fun for contributing to Spyder during our sprint session at #SciPy2020 @SciPyConf!
For anyone who doesn't have the patience to sit through a 25-minute YouTube talk, the slides for Ben Albrecht's #SciPy2020 presentation are now online: chapel-lang.org/presentations/…
Just watched @jakevdp #SciPy2020 ML talk about JAX. Awesome talk & awesome library! youtube.com/watch?v=z-WSrQ…. Anyone who used both: It's basically PyTorch though, with slightly different syntax? See my JIT and Automatic differentiation (autograd) examples below:
Our most accessed poster was @HEPfeickert's #SciPy2020 poster on pyhf, a python library for differentiable likelihoods with histograms: zenodo.org/record/3961236
I'm a particle physicist and so deal with jagged arrays constantly from detector data. Awkward was designed for my field and became a general purpose tool. I'll let the author Jim Pivarski tell you more himself in his #SciPy2020 talk: youtu.be/WlnUF3LRBj4
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YouTube
Awkward Array: Manipulating JSON like Data with NumPy like Idioms...
ICYMI here is Jim's #SciPy2020 talk about awkward array: m.youtube.com/watch?v=WlnUF3…
#Scipy2020 Poster 28. OOF: Open-source Finite Element Analysis for Materials ctcms.nist.gov/oof/talks/scip…
Had a great time introducing @streamlit today (amongst other frameworks) at the @SciPyIndia 2020 conference. Thanks #Scipy2020 team for having me!
Excited for Scipy india 2020 @FOSSEE @ankit_javalkar @prabhu_r #Scipy2020 #Python
People should also check out Jim's excellent #SciPy2020 talk on Awkward: youtu.be/WlnUF3LRBj4
youtube.com
YouTube
Awkward Array: Manipulating JSON like Data with NumPy like Idioms...
Great write-up of our fully-remote scikit-image sprint at #Scipy2020 by @EGouillart! eoss-image-processing.github.io/2020/07/31/sci…
This talk by Jacob Montiel is excellent. When data is continuously produced or when data patterns change, standard machine learning methods don't always work well. Stream learning is an alternative! y2u.be/sw85SCv847Y #machinelearning #streamingdata #scipy2020 #scipy
@jakevdp Just watched your #SciPy2020 talk on JAX (github.com/google/jax) and was wondering what keyboard you are using? It sounded like a #MechanicalKeyboard
#SciPy2020 Tutorials youtube.com/playlist?list=… @YouTubeより
"Software Engineering as Research Method: Aligning Roles in Econ-ARK" paper with @Mridul_Seth published in Proceedings of #scipy2020 conference.scipy.org/proceedings/sc… Big thanks to the conference proceedings team!
On behalf of the @SciPyConf Proceedings Committee, I'm delighted to announce that the finalized #SciPy2020 proceedings are now available: conference.scipy.org/proceedings/sc… Big thanks to @MeghannAgarwal, Chris Calloway, David Shupe, and all our reviewers for their hard work
Some thoughts about this brave presentation at #scipy2020 by @dhavidearuliah including new bits of info about how despicable DataCamp leadership has been for years. The video has new views on how DataCamp's purpose of making big money for a few, brings endless trauma to many 1/n
I just watched this #scipy2020 discussion with @dhavidearuliah and his sister Natasha, a diversity & inclusion expert. I recommend watching through to the end; it's informative and touching. Thank you Dhavide & Natasha. youtu.be/XmjIhcuvTpY
huge respect to Dhavide for continuing to speak on #Datacamp's abhorrent conduct & not being intimidated by their scare tactics glad to see #Scipy2020 hosting this discussion as well
The single largest source of volunteer reviewers for #SciPy2020 full papers was @CapitalOne. Who can I thank for this?
Results from the #SciPy2020 proceedings demographics survey are up. Briefly, we observe that authors of papers are more likely to identify as 35-50 year old, white, male academics than conference attendees. blog.neater-hut.com/scipy-proceedi…
@robertnishihara on scalable Python and ML with Ray at #SciPy2020! youtube.com/watch?v=XIu8ZF…
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YouTube
Ray: A System for Scalable Python and ML |SciPy 2020| Robert Nishihara
Checkout the #SciPy2020 Jupyter Widgets tutorial I delivered together with @astronomatty, @martinRenou and @mbektash. If you do any scientific/quantitative work and are looking to supercharge your models by adding widget controls, this is for you! youtu.be/8IYbdshUd9c
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YouTube
Jupyter Interactive Widget Ecosystem Tutorial | SciPy 2020 | Craig,...
When are those weird see through touchscreens coming?? #SciPy2020 #scifi #scifiart #ScienceTwitter #Science #future
Just received my #SciPy2020 appreciation sticker in the mail. Not a bad way to end the week! 🙂 Thanks @SciPyConf!
At the #SciPy2020 sprint today, I contributed two new features to @matplotlib! Colormaps now have pretty representations in @ProjectJupyter notebooks, and Figure objects can be displayed as images without requiring @IPythonDev "%matplotlib inline" or pyplot. #OpenSource 🌈📈
It’s time to learn more about scientific computing in #Python! Looking forward to the next tutorials of #SciPy2020 @SciPyConf @SciPyTip @numpy_team @PyTorch #Science #ScienceAtHome #MachineLearning #PyTorch @ETH_en @ETH_physics
Since we couldn't build our dream receiver, we combined several dishes across the planet into a single, computational telescope. - @thisgreyspirit at #SciPy2020
Virtually attending @SciPyConf #SciPy2020 all week and spending most of this rainy Monday in an Intro to Python tutorial 👩💻🤓 Playing with indexing and slicing, thanks @jiffyclub
"Why not use MatLab? First, we were tied of waiting for them to fix critical bugs. Second, none of our European colleagues could afford the license." - @DrAnneCarpenter at #SciPy2020
The update that got the most 👏 feedback from the #SciPy2020 attendees was the Cluster Map Plot (known to maintainers as the "pew pew pew" plot). This plot shows a high-level overview of your Dask cluster scheduler and workers and the communication between them. 21/
"If you meet a cancer patient in Chicago or Vienna, there's a good chance that their treatment depends on the libraries that you all work on" @DrAnneCarpenter at #SciPy2020
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