Quickstart/Virtual Environments - Revision history

Pysdlb at 15:27, 13 June 2024

2024-06-13T15:27:37Z

Pysdlb at 15:26, 13 June 2024

2024-06-13T15:26:22Z

Pysdlb: /* What is a Virtual Environment? */

2023-04-17T10:44:00Z

‎What is a Virtual Environment?

Pysdlb: /* Next Steps */

2022-11-16T09:34:39Z

‎Next Steps

Pysdlb: /* Next Steps */

2022-11-15T15:05:51Z

‎Next Steps

Pysdlb: /* GPU Node Example */

2022-11-08T09:55:30Z

‎GPU Node Example

Pysdlb: /* Why should you use a Virtual Environment? */

2022-11-03T12:02:38Z

‎Why should you use a Virtual Environment?

Pysdlb: /* Using your environment in an interactive session */

2022-11-03T11:30:16Z

‎Using your environment in an interactive session

Pysdlb: /* Adding packages */

2022-11-03T11:29:01Z

‎Adding packages

Pysdlb at 11:28, 3 November 2022

2022-11-03T11:28:27Z

@@ Line 75: / Line 75: @@
-To create a virtual environment using anaconda 4.6 with python version 3.7 on Viper,  you would use the conda create command as follows:
+To create a virtual environment using Anaconda 4.6 with Python version 3.7 on Viper,  you would use the conda create command as follows:
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
@@ Line 149: / Line 149: @@
 </pre>
-* or even defining the python version at 3.4
+* or even defining the Python version at 3.4
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">

@@ Line 1: / Line 1: @@
 ==What is a Virtual Environment?==
-A virtual environment is a named, isolated, working copy of Python that maintains its own files, directories, and paths so that you can work with specific versions of '''libraries''' or '''Python''' itself without affecting other Python projects. These can be created in standard Python and also Conda Python.
+A virtual environment is a named, isolated, working copy of Python that maintains its files, directories, and paths so that you can work with specific versions of '''libraries''' or '''Python''' itself without affecting other Python projects. These can be created in standard Python and also Conda Python.
 ==Why should you use a Virtual Environment?==
-Python has various modules and packages for different applications. During a research project, we may require a third-party library or even a particular version, which we install. Another project also uses the same directory for retrieval and storage but doesn't require any other third-party packages. We can see we now have a package issue which will create problems very quickly.
+Python has various modules and packages for different applications. We may require a third-party library or even a particular version, which we install during a research project. Another project uses the same directory for retrieval and storage but doesn't require any other third-party packages. We can see we now have a package issue that will quickly create problems.
 So, the virtual environment can come into play and make a separate isolated environment for both projects, and each project can store and retrieve packages from its specific environment.
-Also, let us consider another case where we are creating a Deep learning project using Tensorflow. Suppose you are working on two research projects project-01 and project-02.
+Also, let us consider another case where we are creating a Deep learning project using TensorFlow. Suppose you are working on two research projects project-01 and project-02.
 If project-01 uses Tensorflow-2.0 and project2 uses Tensorflow-2.6, they would be stored in the same directory with the same name, and the error may occur. Then, in such cases, virtual environments can be really helpful for you to maintain the dependencies of both projects.
@@ Line 27: / Line 27: @@
 ===Environment===
-Let's load up a python module and build our Virtual Environment (VE) from there.
+Let's load up a Python module and build our Virtual Environment (VE) from there.
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">

@@ Line 1: / Line 1: @@
 ==What is a Virtual Environment?==
-A virtual environment is a named, isolated, working copy of Python that maintains its own files, directories, and paths so that you can work with specific versions of libraries or Python itself without affecting other Python projects. These can be created in standard Python and also Conda Python.
+A virtual environment is a named, isolated, working copy of Python that maintains its own files, directories, and paths so that you can work with specific versions of '''libraries''' or '''Python''' itself without affecting other Python projects. These can be created in standard Python and also Conda Python.
 ==Why should you use a Virtual Environment?==

← Older revision		Revision as of 09:34, 16 November 2022
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−	[[~~Newmainpage~~ #Quickstart\| Back]] / [[Quickstart/Tutorial Videos\| Next (Tutorial Videos)]]	+	[[Main Page #Quickstart\| Back]] / [[Quickstart/Tutorial Videos\| Next (Tutorial Videos)]]

← Older revision		Revision as of 15:05, 15 November 2022
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−	[[Newmainpage #Quickstart\| Back]]	+	[[Newmainpage #Quickstart\| Back]] / [[Quickstart/Tutorial Videos\| Next (Tutorial Videos)]]

@@ Line 242: / Line 242: @@
 #SBATCH -o debug.out
 #SBATCH -e debug.err
-#SBATCH --gres=gpu:tesla
+#SBATCH --gres=gpu
 #SBATCH -p gpu
 #SBATCH -t 00:10:00

@@ Line 179: / Line 179: @@
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
 [user@login01 ~]$ interactive
-[user@c001]$ conda activate pytorch01
+[user@c001 ~]$ conda activate pytorch01
-{pytorch01} [user@c001]$ python mypytorchprogram.py
+{pytorch01} [user@c001 ~]$ python mypytorchprogram.py
 </pre>
@@ Line 186: / Line 186: @@
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
-[user@login01]$ interactive -pgpu
+[user@login01 ~]$ interactive -pgpu
-[user@gpu02]$ conda activate pytorch01
+[user@gpu02 ~]$ conda activate pytorch01
-{pytorch01} [user@gpu02]$ python mypytorchprogram.py
+{pytorch01} [user@gpu02 ~]$ python mypytorchprogram.py
 </pre>
@@ Line 198: / Line 198: @@
 |  If you see an error like this then you need to type '''conda init bash''' at the terminal command line. Then exit the terminal you're in and restart the session to read the new conda settings.
 |}
 ===Using a BATCH script with a virtual environment===

@@ Line 140: / Line 140: @@
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
-(tensorflow1) [user@c001]$ conda install -c conda-forge pygobject
+(tensorflow1) [user@login01 ~]$ conda install -c conda-forge pygobject
 </pre>

@@ Line 98: / Line 98: @@
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
-[user@c001 ~ ]$ conda activate tensorflow1
+[user@login01 ~]$ conda activate tensorflow1
 </pre>
 On successful activation of this virtual environment you should the name of your environment in front of your login prompt like so:
@@ Line 158: / Line 158: @@
 <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
-[user@c001]$ conda create -n OriginalENV --clone NewENV
+[user@login01 ~]$ conda create -n OriginalENV --clone NewENV
 </pre>