problem Archives - Julia SOS

Problem using margin on plots

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using Plots # Create a scatter plot scatter([1, 2, 3, 4], [5, 6, 7, 8], margin=5mm) Solution 1: Using the `margin` argument One way to solve the problem of using margin on

Massive performance problem using channels in julia

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using Distributed function worker_task(channel) while true data = take!(channel) # process data end end function main() channel = Channel{Any}(32) workers = [RemoteChannel(()->worker_task(channel)) for _ in 1:4] for i in 1:1000 put!(channel, i)

Problem with the xticks property when saving a plot which worked a few days ago

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using Plots # Create a simple plot plot([1, 2, 3], [4, 5, 6], xticks = [1, 2, 3]) # Save the plot as a PNG file savefig(“plot.png”) Solution 1: Update the Plots

Problem with coc vim and julia server macos

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Option 1: Reinstalling Julia Server If you are facing issues with coc vim and Julia server on macOS, one possible solution is to reinstall Julia server. Here are the steps to do

Problem installing sympy on windows 10 system

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Option 1: Using Julia’s built-in package manager To install sympy on a Windows 10 system using Julia’s built-in package manager, follow these steps: # Start Julia’s interactive session julia # Enter package

Atom and juno problem after the installation i cant run my files

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Solution 1: Check Julia installation If you are facing issues running your files in Atom and Juno after installation, the first step is to ensure that Julia is properly installed on your

Problem while using nssm to run a python program that calls julia code windows

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Solution 1: Using a Batch File To solve the problem of running a Python program that calls Julia code on Windows using nssm, one option is to create a batch file that

Downnload csv problem julia argumenterror symbol name may not contain 0

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Solution 1: Renaming the Symbol One way to solve the “ArgumentError: Symbol name may not contain 0” issue in Julia is by renaming the symbol causing the error. This error typically occurs

Dispatching by values is very slow feature or problem

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Dispatching by values in Julia can be a slow feature or problem, especially when dealing with large datasets or complex computations. However, there are several ways to optimize this process and improve

Error with relu activation function when solving problem on neuralpde

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If you are encountering an error with the relu activation function when solving a problem on neuralpde in Julia, there are several ways to solve this issue. In this article, we will

Tag: problem

Problem using margin on plots

Massive performance problem using channels in julia

Problem with the xticks property when saving a plot which worked a few days ago

Problem with coc vim and julia server macos

Problem installing sympy on windows 10 system

Atom and juno problem after the installation i cant run my files

Problem while using nssm to run a python program that calls julia code windows

Downnload csv problem julia argumenterror symbol name may not contain 0

Dispatching by values is very slow feature or problem

Error with relu activation function when solving problem on neuralpde

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