main branch is advanced on PR level, with squashed commits.
So the "." should never make it to main, and have PR description as commit message.
2,496 karma · joined September 28, 2015
main branch is advanced on PR level, with squashed commits.
So the "." should never make it to main, and have PR description as commit message.
# API Keys in Settings
1. Go to Settings -> API Keys Page
2. Create Token (set scope and expiration date)
# OAuth flow
1. `gws login` shows url to visit
2. Login with Google profile & select data you want to share
3. Redirect to localhost page confirms authentication
I get that I need to configure Project and OAuth screens if I want to develop an Applications for other users, that uses GCP services. This is fine. But I am trying to access my own data over a (/another) HTTP API. This should not be hard.
Also worth pointing out that you can implement this method with a lot of tools these days. Both structured Logs or Traces lend itself to capture wide events. Just make sure to use a tool that supports general query patterns and has rich visualizations (time-series, histograms).
The answer is: YES.
Doing better than nothing is a really low hanging fruit. As long as you don't do damage - you do good. If the LLM just listens and creates a space and a sounding board for reflection is already an upside.
> Until we answer the question "Why can't people get good mental health support?" Anyway.
The answer is: Pricing.
Qualified Experts are EXPENSIVE. Look at the market pricies for good Coaching.
Everyone benefits from having a coach/counseler/therapist. Very few people can afford them privately. The health care system can't afford them either, so they are reserved for the "worst cases" and managed as a parse resource.
I find this reading of history of OTel highly biased. OpenTelemetry was born as the Merge of OpenCensus (initiated by Google) and OpenTracing (initiated by LightStep):
https://opensource.googleblog.com/2019/05/opentelemetry-merg...
> The seed governance committee is composed of representatives from Google, Lightstep, Microsoft, and Uber, and more organizations are getting involved every day.
Honeycomb has for sure had valuable code & community contributions and championed the technology adoption, but they are very far from "leading the way".
[1] https://www.illumos.org/books/dtrace/chp-syscall.html#chp-sy... [2] https://www.illumos.org/books/dtrace/chp-sdt.html#chp-sdt
I was never payed for a talk, and I have very rarely heared of people being payed by the conference itself -- appart from some "rock-star" keynotes.
Generally talks are sponsored by the person you currently work for - i.e. they pay for travel, and sponsor your time. If you work for a vendor in the space, this runs under marketing expense. If you work for a "regular" company this runs under personal development, employer branding & industry exchange.
int mid =(low + high) / 2;
> Specifically, it fails if the sum of low and high is greater than the maximum positive int value (2^31 - 1).I would really challenge calling this kind of effects "bug" or "breakage".
It's like calling Newtons law of gravity broken, because it's not accurate at predicting how galaxies move.
Things are engieered and tested for a certain scale.
Knowing which tools to use at which sacle is part of the craft of engineering.
For Courtney Dauwalter are we talking "won" as in across all starters or across all women starters?
Winning against a mixed field would be beyond impressive!
Concrete Questions:
- Is this about the official test suite, or general testing with Nix?
- Is this only about Python applications or general?
- How does this compare to testing / debugging flows on Debian, Alpine, CentOS?
- When would I care about this?
Note that Server/Client refer to threads on the same machine.
While I can see performance benefits of this approach, over traditional IPC (sockets, shared memory), this "opens the door" for potentially worse concurrency headaches you have with threads you spawn and control yourself.
Has anyone here hands-on experience with these and can comment on how well this worked in practice?
Good to see LU decomposition with full pivoting being implemented here (which is missing from BLAS/LAPACK). This gives a fast, numerically stable way to compute the rank of a matrix (with a basis of the kernel and image spaces). Details: https://www.heinrichhartmann.com/posts/2021-03-08-rank-decom....
What does that even mean? Both editors have large&strong communities. I don't see them going anywhere.
https://lem-project.github.io/ https://github.com/lem-project/lem
https://heinrichhartmann.com/archive/Dissecting-Hello-World....
Never regretted going down this deep rabbit hole. IIRC, Julia also has a math background. Maybe it's the desire for bottom-up reasoning that leads math folks towards experiments like this. Great to see her making this approachable for a large audience.
/usr/bin/parallel sendmail user@example.com < email.txt
mail -s "Test Subject" user@example.com < body.txt
What keeps me from actually using this, is the lack of Address Book, as I don't memorize email addresses from all my friends and colleagues. Any suggestions on how to integrate my Gmail Address book into a command line workflow?[1] https://stackoverflow.com/questions/57410259/how-to-send-an-...