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Writing this post in Hacker News is the best way to get people to send you DM to get your exploit in exchange for $s

Good job!


Hivestack | Montreal, Canada | HYBRID (ONSITE/REMOTE in Canada only), FULL-TIME | https://hivestack.com/ We are a young startup We have created a full-stack programmatic digital out of home platform and are currently running in 25+ countries

We are mostly a Python shop but we also have some Spark/Scala, Golang and JS projects. Here’s for more info on our stack: https://stackshare.io/hivestack/hivestack

We have opening for several position: - Python/Golang developers - DevOps - Data Engineering - Team Lead / Engineering Manager


Hivestack | Montreal, Canada | HYBRID (ONSITE/REMOTE in QC only), FULL-TIME | https://hivestack.com/

We are a young startup in hypergrowth phase. We have created a full-stack programmatic digital out of home platform and are currently running in 25+ countries

We are mostly a Python shop but we also have some Spark/Scala, Golang and JS projects. Here’s for more info on our stack: https://stackshare.io/hivestack/hivestack

We have opening for several position: - Python/Golang developers - DevOps - Data Engineering - Team Lead / Engineering Manager

You can see the full Job Description here: https://hivestack.com/careers/


Why would you pump gas in a Tesla?


it’s an example of a similarly absurd law


In my opinion data processing / ML / database development is one of the best use case for rust. You want stable memory management and performance . This is still something than often times is done in C/C++. There are several promising technologies being developer in rust in that space; tikv (key-value store), materialize (steaming DB), arrow/parquet has a rust implementation, Toshi (Elasticsearch), Tantivy (Lucene), etc


Thanks for your comment! My search came to the same result... And I was believing a php framework was beating all other frameworks


Imagine the merge


Ah yes! Optimize early, that's what my teachers always told me to do. /s


Code is easy to change. Data schemata much less so, particularly in traditional SQL databases.


There is toshi-search https://github.com/toshi-search/Toshi who is trying to be a drop-in replacement for Elasticsearch. My understanding is that Bayard is trying to achieve the same use cases as Elasticsearch but with a different API


I very much like your answer. And I now realize why disliked PyCon that much. There are so much things that can be done in python that I don't necessarily care about. Language is not the most important thing, what I do with it is.

I much more prefer going to a conference about let's say, web dev or machine learning. Once at the conference, I might prefer going to a talk that use python because I know this language better.


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