droelf

8 ms·

61.
by droelf 3y ago
Yeah, and what happens if you pass a NumPy array around and the different NumPy versions cannot agree on internal functions or memory layout ...
62.
by droelf 3y ago
NPM actually works like this afaik (you can have multiple versions of a given package in tree). Vendoring is another way to work around the single-version per name requirement. It's mainly problematic with shared types and when they &q
63.
by droelf 3y ago
Let me try to reply to you (as one of the authors of mamba and as a conda-forge core dev): Mamba has solved (seemingly successfuly) many problems of conda being slow. It's used by default in conda-forge, the largest conda repository ou
64.
by droelf 3y ago
Unfortunately, it is sometimes not even possible to say which solution should be preferred because different branches lead to different sets of packages having higher versions. There is not really an "ultimate" heuristic to determ
65.
by droelf 3y ago
I've been working in the conda-ecosystem for a while now (mamba, boa, and now rattler) and this is one of the most exciting developments because having a solver that is easier to understand and hack will hopefully open up the doors for
66.
Rattler-build: a relocatable binary package builder(prefix.dev)
9 points by droelf 3y ago|0 comments
67.
by droelf 4y ago
Yes, we definitely believe and rely a lot on proper "SAT" solving in the conda ecosystem (old versions are also never deleted, for reproducibility reasons, which makes this problem actually quite interesting and large). We are als
68.
by droelf 4y ago
I just made a mastodon account for PackagingCon on Fosstodon, will update you here once it's approved.
69.
by droelf 4y ago
Another rattler author here! Indeed, pubgrub-rs looks like one hell of a good alternative to libsolv. We've already tried quite a bit to use it in rattler, but the many "variant" packages in the conda ecosystem gave it a bit
70.
Show HN: Package Management in the Cloud with Prefix.dev(prefix.dev)
18 points by droelf 4y ago|0 comments
71.
Thoughts on upper bounds for Python dependencies – conda-forge vs. PyPI(prefix.dev)
2 points by droelf 4y ago|1 comments
72.
PackagingCon Happening Tomorrow(pretalx.com)
5 points by droelf 5y ago|2 comments
73.
Talks for PackagingCon Are Published(packaging-con.org)
6 points by droelf 5y ago|0 comments
74.
Packaging Con 2021: a conference for package management devs and communities(packaging-con.org)
108 points by droelf 5y ago|38 comments
75.
Scikit-Geometry(medium.com)
2 points by droelf 7y ago|0 comments
76.
Ipywidgets Get Drag'n'drop Support(wolfv.github.io)
1 points by droelf 7y ago|0 comments
77.
Designing Fonts and Other Things with a Constraint Solver(wolfv.github.io)
10 points by droelf 7y ago|0 comments
78.
Reverse Engineering the Siri Knowledge Endpoint(wolfv.github.io)
2 points by droelf 7y ago|0 comments
79.
Minimamba, a fast conda / miniconda is released(medium.com)
1 points by droelf 7y ago|0 comments
80.
by droelf 7y ago
Additionally running jupyter_console with this kernel, one should get practically the same thing.
81.
by droelf 8y ago
Awesome! For the images you can go one step further with this fun Unicode hack to make the terminal characters almost square: https://www.uninformativ.de/blog/postings/2016-12-17/0/POSTI...
82.
Making Conda Fast Again(medium.com)
7 points by droelf 8y ago|1 comments
83.
by droelf 8y ago
Is there a way to follow the project? I'd be interested to help out but didn't quickly find a github link or similar.
84.
Video streaming in the Jupyter Notebook(medium.com)
6 points by droelf 8y ago|0 comments
85.
by droelf 8y ago
There is definitely an intention to write some sort of JIT-to-xtensor compiler at some point. I've personally worked on a "simple" (1000 lines of Python) NumPy-to-Armadillo (C++) JIT compiler before, and we're in close c
86.
The xtensor vision: C++ for R, Python and Julia(medium.com)
11 points by droelf 8y ago|3 comments
87.
Tackling the Julia Challenge with 300 lines of C++17(medium.com)
8 points by droelf 8y ago|0 comments
88.
by droelf 8y ago
I actually can't tell, but it has not yet been significant. It takes quite a bit of time to really get a library like this started. So far we've mostly dealt with people who are using xtensor from C++ or bind it to Python. We&#x27
89.
by droelf 8y ago
There is also the xtensor initiative which aims to provide a unified backend for array / statistical computations in C++ and then makes it pretty easy to create bindings to all the data science languages (R, Julia and of course Python)
90.
APL in the Browser(tryapl.org)
2 points by droelf 8y ago|0 comments

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