This is because with the virtual environments, the project is reproducible, and we will need to install only the required libraries as stated in the requirements.txt. Moreover, it is more efficient to work with the necessary only libraries. When we work on a Data Science project, which can include a Flask API, it is better to have full control over the libraries used in the project. In this post, we will provide you a walk-through example of how to work with VS Code and virtual environments. ![]() We have provided examples of how to work with conda environments.
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