Dan Nugents Python Library - Still maintained API for pulling data into Python <=v2.6 from a kdb server. Faster than qpy.
qpy - Original API that was based on kx.com's java API. Slower than Dans but nicer formatting of tables when printed.
PyQ - Gone? - Brings Python and Q interpreters into the same process and allows code written in either of the languages to operate on the same data. Supports Python 2.7 and 3.x and all versions of kdb+.
also note that, as with perl, sometimes the formatted export over the web socket is sufficient -- just GET http://SERVER.example:PORT/FMT?QUERY, where FMT is any of csv/txt/xml/xls (e.g. http://localhost:5050/csv?table)
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timestored 网站有一个kdb 的 python api 指南，并配有视频。
https://www.timestored.com/kdb-guides/python-api
总结一下您的选择：
The timestored website has a guide to the python apis for kdb complete with videos.
https://www.timestored.com/kdb-guides/python-api
To summarize your options:
我还发现 http://www.kx.com/a/k/connect/python /，以及 http://bitbucket.org/halotis/qpy。我也没有用过。
I also found http://www.kx.com/a/k/connect/python/, along with http://bitbucket.org/halotis/qpy. I haven't used either.
还有 Dan Nugent 的 https://github.com/DannoHung/q
也请注意，与 perl，有时通过 Web 套接字进行格式化导出就足够了——只需 GET
http://SERVER.example:PORT/FMT?QUERY，其中 FMT 是 csv/txt/xml/xls 中的任意一个（例如http://localhost:5050/csv?table< /代码>)there's also Dan Nugent's https://github.com/DannoHung/q
also note that, as with perl, sometimes the formatted export over the web socket is sufficient -- just GET
http://SERVER.example:PORT/FMT?QUERY, where FMT is any of csv/txt/xml/xls (e.g.http://localhost:5050/csv?table)