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Learn how to effectively use Miniconda to create a pure Python virtual environment, ensure no extra packages are installed, and export a blank requirements.txt.
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How to Create a Pure Python Virtual Environment with Miniconda

Creating virtual environments is a fundamental skill for Python developers. It allows for organizing projects by managing dependencies without conflicts. However, when using Miniconda, many users often encounter issues where additional packages are installed alongside their desired Python version. This can lead to complications when exporting requirements for their projects. In this post, we'll explore how to use Miniconda to create a truly pure Python virtual environment.

Understanding the Problem

When you create a virtual environment using Miniconda with the command:

[[See Video to Reveal this Text or Code Snippet]]

you might expect to have a clean slate with just Python and nothing else. However, upon exporting the environment to a requirements.txt file, you may find many unnecessary packages listed. This can be misleading and problematic for project setup and sharing.

The Challenge

A pure Python virtual environment should:

Contain only the specified version of Python

Exclude any extra packages or dependencies

Allow for a clean export to requirements.txt

Steps to Create a Pure Python Virtual Environment

Follow these simple steps to ensure you have a clean environment using Miniconda:

Step 1: Install Miniconda

If you haven't done so already, download and install Miniconda from the official website. It's a lightweight alternative to Anaconda and is perfect for managing Python environments.

Step 2: Create the Virtual Environment

Use the following command to create a new environment, selecting a specific Python version:

[[See Video to Reveal this Text or Code Snippet]]

This command explicitly sets the Python version to 3.9. Replace 'my_env' with your desired environment name.

Step 3: Activate the Environment

After creating the environment, activate it with:

[[See Video to Reveal this Text or Code Snippet]]

This command switches your prompt to the new environment, meaning any packages you install while it is active will reside here.

Step 4: Check Installed Packages

To ensure that your environment is clean, execute:

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This should output only a minimal list of packages. For example:

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This indicates that your environment is close to being "pure."

Step 5: Export to Requirements.txt

Once you're satisfied with the environment, export it to a requirements.txt file using:

[[See Video to Reveal this Text or Code Snippet]]

You should expect this file to contain only the essential packages that you intentionally installed.

Conclusion

By following these steps, you can successfully create a pure Python virtual environment using Miniconda. This approach allows you to manage your dependencies clearly and ensures that your exported requirements.txt is free from any extraneous packages.

Stay organized and streamline your Python projects by mastering the art of virtual environments!