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Visual Studio Code: Difference between revisions
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When using an IDE like Visual Studio Code, it's important to distinguish what sort of action you're performing, even if all of them take place within the context of the IDE. Editing a Python script or any other text file of reasonable size (up to a few thousand lines) is a very light-weight process which requires little processing power or memory but an IDE offers you numerous other possibilities, including the ability to debug your script for example. In this case, the IDE is now ''executing'' your Python code on the shared login node and until the script crashes because of a bug, it may well consume an entire CPU core or even several if the script or the libraries which it uses are multi-threaded. | When using an IDE like Visual Studio Code, it's important to distinguish what sort of action you're performing, even if all of them take place within the context of the IDE. Editing a Python script or any other text file of reasonable size (up to a few thousand lines) is a very light-weight process which requires little processing power or memory but an IDE offers you numerous other possibilities, including the ability to debug your script for example. In this case, the IDE is now ''executing'' your Python code on the shared login node and until the script crashes because of a bug, it may well consume an entire CPU core or even several if the script or the libraries which it uses are multi-threaded. | ||
Note that if you are using Visual Studio Code with Python, you should avoid installing [[Anaconda/en|Conda and its variants]] as they are poorly adapted to our cluster environment. Alternatives to the use of Conda include [[Python#Creating_and_using_a_virtual_environment|Python virtual environments]] and [[Apptainer]]. | |||
=Configuring remote access= <!--T:3--> | =Configuring remote access= <!--T:3--> | ||