![]() ![]() Inside the same source tree you can open a different folder and set a different Python interpreter. You can then specify the Python interpreter to use with that project. When you open a folder in VSCode, that folder is treated as the top of the project. when selecting a *.py in a respective folder) Select Python 3.11.0 64-bit or any other option that does not contain the (.venv:env) words.Quote:Is there any possibility to enable VS Code to recognize which interpreter/virtual environment has to be used? (e.g. This action displays the Interpreter dropdown box. ![]() ![]() venv:env) link in the bottom-right of the IDE. To deactivate the Virtual Environment, click the (. This is handy when deploying to another Virtual Environment to ensure the correct library versions are installed. Open this file and scroll down to see the pandas library listed, including the version number. This action generates the above-noted file and places it into, for this example, the SALES_APP folder. To generate a requirements.txt file, navigate to the terminal and run the following code: pip freeze > requirements.txt It lists all libraries and associated versions used in the app. This file is a checklist for the Python application in question. □ Note: Install any other required libraries the same way.Ī Requirements File can be created at any time during the development cycle. If successful, the pandas library is now installed in the Virtual Environment and if we run sales.py there should be no errors. To perform this task, navigate to the terminal window and run the following code. This means that the pandas library will need to be installed. For this article, Batch Runner was installed.įor this article, our sales.py file reads in the sales.csv file. bat file, you may need to install an extension that reads Batch files. □ Note: If an error is generated when running this. You are now officially working in a Virtual Environment. ![]()
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