132 karma · joined April 6, 2015
conda is so heavyweight installing whole pre-approved builds. and the command line options I find extremely frustrating.
I need supply chain security and perfectly reproducible builds, so poetry was the only real option.
Essentially the efficacy test is a 3 point scale that measures standing and walking. It's not granular enough to get real statistical significance on, and never will be unless another kind of test is defined. So the tests are basically always doomed to fail rigid scrutiny by the FDA.
In the meantime they're getting dramatically effective results, and Peter Marks is bucking the FDA's traditionally conservative stance to make the product available to the few who desperately need it. I'll eat my words if someone finds he was paid off for this. I think is a truly miraculous kind of therapy, and I hope to one day have regularly available gene therapy for my own afflictions.
https://www.reddit.com/r/technology/comments/1dlsset/comment...
They migrated to Github Issues a year ago, so this is moot - https://discuss.python.org/t/github-issues-are-now-live/1496...
Yes it was a big, hairy investment for someone to submit a tiny change. But it was also the gigantic moat that kept bad actors away. I for one am thankful core python remains clean and safe because of this.
The unifying receiver is unusable through a hub or connected monitor, and I don't have enough USB-A ports on the dongle to keep the unifying receiver connected all the time.
Switched to an apple keyboard, and never experienced the problem with the MX mouse connected.
At Altana we've built the first AI Knowledge Graph of the global supply chain -- the world's most comprehensive representation of global commerce activity. This data asset, composed of billions of records, covers more than 40% of cross-border transactions, corporate ownership registries in over 100 countries, the global movements of goods, illicit web activity, and more.
The Engineering team is looking for talented Engineers and Data Scientists to help build this vision. You'll work closely together and with our Solutions team on projects to analyze and observe world-scale datasets, write entity resolution pipelines, code that can scale to produce never before seen insights, and construct APIs to deliver our product vision.
We are currently raising our Series A, and staffing up to build out new Knowledge Graph features, risk insights, and advanced datasets.
Technologies we use: Python, SpaCy, Dedupe, Spark, Elasticsearch, Neo4j, AWS, Azure, Terraform, Kubernetes, Helm
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If I want to block an incoming address it's a few clicks away, I've just never needed to because spam filtering works pretty well. Perhaps that might change some day and I'll switch to a whitelist approach.