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mattip
searching PlanetScale…
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61.
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The SymPy/HackerRank DMCA Incident
(asmeurer.com)
235 points
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mattip
4y ago
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82 comments
62.
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mattip
5y ago
I don’t really know, sorry. There are a lot of moving pieces as the company grows (we are hiring) and the interplay between the pure consulting, open source work, growing the Venture fund is dynamic.
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mattip
5y ago
PostgreSQL has a number of companies providing support, the db is free and open source. Ray is offered for free, Anyscale provides support. Quansight offers qhub for free and provides support. Those are just a few off the top of my head. Di
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mattip
5y ago
This project wraps py-heat https://github.com/csurfer/pyheat in a convenient to use ipython magic command. Pyheat presents a heat map of profiler output: i.e. the output of running your program and measuring the time t
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mattip
5y ago
A bit if a generalisation. For a different view: currently almost all the core devs for NumPy and SciPy (those are the ones I know personally) have doctorates.
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mattip
5y ago
Right, Sphinx itself is not JIT friendly, but I thing django should be faster
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mattip
5y ago
I get that python is under 30% of your profiled time, but just wondering if you tried PyPy?
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mattip
5y ago
There are thousands of startups. Are you generalising some bad actors to characterise an entire segment?
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mattip
5y ago
Sorry to hear that. What were the sticking points?
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mattip
6y ago
This is the best place to become familiar with the tools and to set the stage for your journey. Then find a problem you want to solve, and find more domain specific resources. Some people learn best from tutorials, some from video, some fro
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mattip
6y ago
I created an issue [0] to address this. Could you add a microbenchmark that demonstrates the problem? [0] https://foss.heptapod.net/pypy/pypy/-/issues/3373
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mattip
6y ago
There are some slight nuances that affect the JIT. https://developer.apple.com/documentation/xcode/writing_arm6...
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mattip
6y ago
PyPy already supports ARM64. This is additional work needed to support macOS 11 on M1. Apple changed some things that impact PyPy, like the register uses and ffi calling conventions. They updated clang to handle this, but PyPy's JIT em
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mattip
6y ago
For those asking "who uses PyPy?": the truth is that very few people using it get back to us and say how it helps them or what they are doing with it. For instance crossbar.io uses it [0]. Some shops use it as a second step until
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mattip
6y ago
So DataCamp is reinstating the CEO who was forced out after an inappropriate reaction to inappropriate behavour? The episode was bad enough that at least two people refuse to teach there anymore. Here is one previous hacker news discussion
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DataCamp 2.0
(datacamp.com)
1 points
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mattip
6y ago
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1 comments
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mattip
6y ago
Please open a documentation issue at https://github.com/numpy/numpy/issues describing exactly which internals you would like to see explained: indexing, ufuncs, linkage, random, dtypes, ... and what format you wou
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mattip
6y ago
Riptable can only distribute at the low level of primitives it sees, so it must split tasks and collect results at the level of single function calls. Dask builds up graphs of operations on a higher level. There are advantages and disadvant
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mattip
6y ago
Numpy and SciPy reject use of Accelerate due to faulty implementations of some routines. https://github.com/scipy/scipy/wiki/Dropping-support-for-Acc... We have never received any feedback from Apple about th
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mattip
6y ago
Here is the thesis paper that came out of it. https://dl.acm.org/doi/epdf/10.1145/3276479 All the following is my opinion, and may contain errors. Take it with a grain of salt and kindly correct me where I mi
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What's up with travis ci open source builds
1 points
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mattip
6y ago
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3 comments
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mattip
6y ago
Why not go to the source? https://numpy.org/devdocs/user/absolute_beginners.html Is there something wrong there? We (NumPy) would love to get feedback and improve it. This would be a natural “next step” https:&#x
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mattip
6y ago
The real value of NumPy is that it sets the standard for what we expect in an array processing interface. Of course NumPy did not invent the idea, it builds on many others, but it is the de facto standard for what we expect. In time, anothe
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mattip
6y ago
If you are running an app that is basically a UI layer over a database, where would you expect significant failures to occur? The users are already debugging possible problems with git locally by simply using it, so UI-database interactions
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mattip
6y ago
Nice. Over at #pypy on IRC we would love to hear about the use case since we rarely get to showcase positive results
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Welcome to the NumPy Community Survey
(umdsurvey.umd.edu)
3 points
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mattip
6y ago
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1 comments
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mattip
6y ago
Please join this structured dialogue with the NumPy leadership team to better guide and prioritize decision-making about the development of NumPy as software and a community. The survey will take about 15 minutes of your time and close on J
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mattip
6y ago
I have the opposite setup: Linux is my primary os and I have windows on a separate ssd that I can either dual boot into or use in qemu from Linux. It gets used once a month or so. I don’t game, so maybe I am the wrong demographic, but I don
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mattip
6y ago
Zenhub also wants read-write to all public and private repos. Why do apps think this is OK? Why can’t I give them only access to the group/repo using zenhub?
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mattip
6y ago
PyPy put up a prototype and proposal to deliver a GILless python for $100,000. No one took us up on the offer. It is still open. https://morepypy.blogspot.com/2017/08/lets-remove-global-int...
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