Here are a few question-based article titles that fit the content you provided: **Option 1 (Focuses on the core difference):** * **Python setup.py: Develop vs Install - When to Use Which?** **Optio

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Here are a few question-based article titles that fit the content you provided:

**Option 1 (Focuses on the core difference):**

* **Python setup.py: Develop vs Install - When to Use Which?**

**Option 2 (Highlights the benefits of each approach):**

* **

Understanding Python setup.py Commands: develop vs install

In Python, the setup.py script plays a crucial role in package management and development. It allows you to build, distribute, and install your Python projects. Among its commands, develop and install often raise questions regarding their usage.

Setup.py develop:

As you noted from the external source, setup.py develop creates a symbolic link from the installed package's source directory to the site-packages location. This enables you to instantly reflect any changes made to the source code when running the package. It's particularly useful for active development, allowing you to iterate on your code without reinstallation.

Setup.py install:

In contrast, setup.py install performs a traditional package installation. It copies the Python scripts and modules to the site-packages directory, making them available for use by other Python programs. This is the approach recommended for deploying completed or third-party packages that you do not plan to actively develop or modify.

Usage Recommendations:

To summarize, here are the recommended usage guidelines for these commands:

  • For fresh installations: Use python setup.py install to install the package once you have finalized its development.
  • For active development: After installing the package with setup.py install, use python setup.py develop to create the symbolic link and enable convenient code modifications and immediate effect without reinstallation.

Note:

It's worth mentioning that direct invocation of setup.py is discouraged for package installation due to potential issues with dependency management. It's best practice to use either pip install . for regular installation or pip install -e . for development installation.

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