Each environment is basically a directory or folder on your server that has a few scripts in it to make it act as an environment. Therefore, you can set up as many Python programming environments as you would like. Setting up a programming environment provides greater control over Python projects and over how different versions of packages are handled, which is especially important when working with third-party packages. In this step, we want to explain that Virtual environments enable you to have an isolated space on your server for Python projects, ensuring that each of your projects can have its own set of dependencies that won’t disrupt any of your other projects.
However, there are a few more packages and development tools to install to ensure that we have a robust set up for our programming environment: sudo apt install -y build-essential libssl-dev libffi-dev python3-dev In case you want to install NumPy, you can do so with the command pip3 install numpy. Then, you can use the package_name to refer to any Python package or library, such as Django for web development or NumPy for scientific computing. You can install Python packages, using the following command: pip3 install package_name Also, you can install pip, to manage software packages for is a tool that will install and manage programming packages we may want to use in our development projects.
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