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HUGE fan of Pluto, it's Exactly what I was looking for to start using Julia. I needed the ability to run a data pump in a cell and sample the output in other Pluto cells but didn't see how to do this UNTIL someone pointed me at PlutoHooks.jl.
I now "think" I should be looking to use PlutoLinks.jl to get my data pump going in a cell but I don't see how to do this?
This is my first Julia program attempt and I am so looking forward to using Pluto. Well done to you and the rest of the team for thinking this up.
the "test_ib_60_sec.py" logs into a brokerage and uses a series of asynch calls to start up a stream of 60 stock prices sampled every 5 seconds. Right now the output is to Python stdout via a print statement and to a csv file for testing purposes. I want to put it into a Pluto cell and have it just pump out the prices which I'll use in other cells.
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Hi Team
HUGE fan of Pluto, it's Exactly what I was looking for to start using Julia. I needed the ability to run a data pump in a cell and sample the output in other Pluto cells but didn't see how to do this UNTIL someone pointed me at PlutoHooks.jl.
I now "think" I should be looking to use PlutoLinks.jl to get my data pump going in a cell but I don't see how to do this?
This is my first Julia program attempt and I am so looking forward to using Pluto. Well done to you and the rest of the team for thinking this up.
the "test_ib_60_sec.py" logs into a brokerage and uses a series of asynch calls to start up a stream of 60 stock prices sampled every 5 seconds. Right now the output is to Python stdout via a print statement and to a csv file for testing purposes. I want to put it into a Pluto cell and have it just pump out the prices which I'll use in other cells.
here is my existing PyCall
`julia> @pyinclude("test_ib_60_sec.py")
OR from the REPL
`
julia> using PyCall
julia> @pyinclude("test_ib_60_sec.py")
1641420815.0 ^ AAPL ^ 265598 ^ 174.6
1641420815.0 ^ AMZN ^ 3691937 ^ 3284.0
1641420815.0 ^ C ^ 87335484 ^ 62.91
1641420820.0 ^ AMZN ^ 3691937 ^ 3284.0
1641420820.0 ^ AAPL ^ 265598 ^ 174.6
1641420820.0 ^ C ^ 87335484 ^ 62.91
1641420825.0 ^ AMZN ^ 3691937 ^ 3284.0
1641420825.0 ^ AAPL ^ 265598 ^ 174.6
`
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