In Python automation, managing dependencies effectively is crucial for ensuring that your scripts run smoothly across different environments. One of the most popular tools for managing dependencies is `pip`, which allows you to install and maintain packages easily. Additionally, using a virtual environment can help isolate project dependencies.
Here's a simple example of how to manage dependencies in a Python automation script:
# Create a virtual environment
python -m venv myenv
# Activate the virtual environment
# On Windows
myenv\Scripts\activate
# On Unix or MacOS
source myenv/bin/activate
# Install required packages
pip install requests beautifulsoup4
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