Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
miraculixx
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
15 ms
·
181.
▲
by
miraculixx
6y ago
It's supposed to be self-contained which is why the tests are inside __main__. If I have the time I'll add a --selftest argument or so
182.
▲
by
miraculixx
6y ago
yes, see installation one-line command, as a comment below the gist
183.
▲
Show HN: A multi-markup reader in less than 100 lines of Python code
(gist.github.com)
30 points
by
miraculixx
6y ago
|
17 comments
184.
▲
by
miraculixx
7y ago
No, in general looking to deploy stateful long-running tasks. This was just an example. Can be any application that runs on a loop, i.e. not triggered but polling.
185.
▲
Ask HN: Long-running polling jobs in FaaS?
4 points
by
miraculixx
7y ago
|
7 comments
186.
▲
by
miraculixx
7y ago
OP here. Labeling the project "for humans" is meant to express that a user doesn't need to know a lot about streaming and its technical complexities to make use of the library. Essentially, knowing how to create a stream and
187.
▲
by
miraculixx
7y ago
no benchmarks yet unfortunately. While it should scale O(n) in the number of streams, there will be limitations to scale a single stream because the stream processing functions by default are executed synchronously (pending enhancement).
188.
▲
by
miraculixx
7y ago
good feedback, updated the README
189.
▲
by
miraculixx
7y ago
Thanks for the question. Beam has a more complex execution model and AFAIK also needs some executor environment like Spark to really parallelize workloads. Given a mongodb that all producers and consumers can attach to, minibatch runs anywh
190.
▲
by
miraculixx
7y ago
Scenario: you really have a streaming use case, but you don't want to deal with the complexity and overhead of some of the other streaming frameworks like Apache Spark or Flink. If so minibatch is for you
191.
▲
Show HN: Minibatch – Python stream processing
(github.com)
50 points
by
miraculixx
7y ago
|
26 comments
192.
▲
by
miraculixx
7y ago
Thanks for your response. I know of k8s, and it's great for what it does but not what I'm looking for. What I need is the user-facing side of things. Say a community building web site offers a chat service as an option (and many m
193.
▲
by
miraculixx
7y ago
It looks somewhat unstable. For example I tried to submit something but it would not let me edit the post afterwards (404 on the edit link)
194.
▲
by
miraculixx
7y ago
> they will essentially not let me create features that I think can be done better using my product, because they exist in some other product sounds like you created a competing product and made it open source. that spells trouble. Get a
195.
▲
Ask HN: Tools to run, manage, track SaaS service deployments?
2 points
by
miraculixx
7y ago
|
2 comments
196.
▲
Vote: “If I merge this pull request onto master, will it work or will it break?”
(twitter.com)
1 points
by
miraculixx
7y ago
|
0 comments
197.
▲
by
miraculixx
7y ago
Interesting - I have had good experience with Celery, so interested to hear more about the problems you encounter. In particular Celery provides all the features that you are looking for so it would be great to know more about your specific
198.
▲
by
miraculixx
7y ago
Here's how it works: Straight from a Data Scientist's Jupyter Notebook (or batch job): om.models.put(model_or_pipeline, 'sales-prediction') => http PUT /api/model/sales-prediction/predict om.datase
199.
▲
Show HN: ML & data pipeline deployment for humans
(omegaml.io)
8 points
by
miraculixx
7y ago
|
1 comments
200.
▲
Ask HN: Do you use a data science platform, which one? Why not?
(quora.com)
2 points
by
miraculixx
7y ago
|
0 comments
201.
▲
Show HN: ML/AI deployed in seconds using Python, scikit-learn, MongoDB
(towardsdatascience.com)
3 points
by
miraculixx
8y ago
|
0 comments
202.
▲
Show HN: Easily Develop and Serve Plotly Dash Apps in Jupyter Notebook
(github.com)
2 points
by
miraculixx
8y ago
|
0 comments