72 karma · joined February 17, 2020
Is anyone working on this ? seems like a big win for AI if it can be done.
Why would a public repo use a self-hosted runner ? because the self-hosted runner storage available is only 14GB !!
Here is a brief discussion on the same https://github.com/orgs/community/discussions/16963
Also, the csv has a very pythonic interface vis-a-vis parquet, in most cases if I can fit the file in memory I would go with CSV.
Looks similar to Vega or Vega-lite(https://vega.github.io/vega-lite/). Definitely as rich as D3.js but gets the job done for simple visualisations.
Also used by SQLite in their performance measurement workflow(https://sqlite.org/cpu.html#performance_measurement)
https://github.blog/2022-02-14-include-diagrams-markdown-fil...
https://github.blog/changelog/2022-01-21-allow-to-upload-svg...
Long live Markdown !!
"YARP is a reverse proxy toolkit for building fast proxy servers in .NET using the infrastructure from ASP.NET and .NET."
Compared to existing libraries like PyODBC, Arrow Flight is already as much as 20x faster (~00:21:00). Flight SQL will package these performance advantages into a standard interface, ready for clients and databases to implement.
Would be good to compare with more main stream ODBC/JDBC drivers, especially how it compares to the ones provided by the DBMS providers.
https://squidfunk.github.io/mkdocs-material/reference/code-b...
``` py hl_lines="2 3"
def bubble_sort(items):
for i in range(len(items)):
for j in range(len(items) - 1 - i):
if items[j] > items[j + 1]:
items[j], items[j + 1] = items[j + 1], items[j]
```Interesting to know that eqn pre-dates TeX, TeX was released in 1978