[julia-users] Re: PyCall Seaborn error

The website indicates that numpy, scipy, pandas, matplotlib and optionally statsmodels are required. I tried to @pyimport them all before I @pyimport seaborn but that didn't work either...

[julia-users] Re: PyCall Seaborn error

e some unusual set of libraries over and above what, say > matplotlib does? > > > On Wednesday, February 3, 2016 at 9:34:50 PM UTC-8, St Elmo Wilken wrote: >> >> Hi all, >> >> I'm trying to load the Python package Seaborn using Julia. I''m >> attemptin

[julia-users] PyCall Seaborn error

Hi all, I'm trying to load the Python package Seaborn using Julia. I''m attempting: using PyCall @pyimport seaborn as sb This generates the following warning in a new window: "Runtime Error! Program: C:\Users\St. Elmo\AppData\Local\Julia-0.4.2\bin\julia.exe R6034 An application has made an

[julia-users] Re: Bio package - open function error

.jl. > > On Sunday, January 17, 2016 at 2:46:51 PM UTC+9, St Elmo Wilken wrote: >> >> Hi, >> >> I am brand new to the Bio package and wanted to play with it a bit. I >> have some transcription data in a FASTA file which I want to read. Based on >> the doc

[julia-users] Bio package - open function error

Hi, I am brand new to the Bio package and wanted to play with it a bit. I have some transcription data in a FASTA file which I want to read. Based on the docs I tried: stream = open("somefile.fasta", FASTA) but all this generates is ERROR: UndefVarError: FASTA not defined Am I doing something

[julia-users] Re: Problems with the scheduling example in the docs

AM UTC-7, St Elmo Wilken wrote: Hi, I'm struggling to understand the scheduling subsection (in the parallel computation section) of the docs; specifically how the pmap function as shown there works. I've copy-pasted the code I used below my questions. Question 1) Is the purpose of the @sync

[julia-users] Parallel for slow initially

Hi, I'm using a parallel for loop to evaluate a function a few times; the weird thing is that if I run the program more than once there is a significant speed improvement. The speed improvement phenomenon is independent of how many processes I have (the results discussed below are for 4

[julia-users] Re: Parallel for slow initially

out.) There isn't a way around this (that is easy to use, yet); though in your case, you can trial-run with plays==1 to get the thing compiled. On Saturday, May 24, 2014 9:39:36 AM UTC-5, St Elmo Wilken wrote: Hi, I'm using a parallel for loop to evaluate a function a few times; the weird

[julia-users] Erratic behaviour of simple parallel programs

Hi (again), I have a weird issue where I need to run a much simpler version of my code (test.jl) for the more complicated one to work (test2.jl). Suppose you have just started Julia then: If I run test.jl (this works without error), then test2.jl and then test2.jl again my code works, note:

[julia-users] Problems with the scheduling example in the docs

Hi, I'm struggling to understand the scheduling subsection (in the parallel computation section) of the docs; specifically how the pmap function as shown there works. I've copy-pasted the code I used below my questions. Question 1) Is the purpose of the @sync block just to wait for all the