use python instead of python3
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Title: Transitioning from Python 2 to Python 3: Embracing the 'python' Command
Introduction:
Python 3 has been the recommended version for quite some time now, with Python 2 officially reaching its end of life in January 2020. However, some users may still find themselves using the 'python2' or 'python3' commands to differentiate between the two versions. In this tutorial, we'll explore how to make a smooth transition by embracing the 'python' command for Python 3.
Step 1: Verify Python 3 Installation
Before proceeding, ensure that Python 3 is installed on your system. You can check this by running the following command in your terminal or command prompt:
This should display a version number starting with '3', indicating that Python 3 is installed.
Step 2: Update System Links (Linux/macOS)
If you are using Linux or macOS, you might need to update the symbolic links for 'python' and 'python2' to point to the Python 3 executable. Use the following commands:
This creates symbolic links, ensuring that the 'python' and 'python2' commands now point to the Python 3 interpreter.
Step 3: Adjusting User-Specific Links (Optional)
If you encounter issues with user-specific links, you may need to update the links in your home directory. Use the following commands:
Replace '~/bin/' with the directory where you prefer to store user-specific binaries.
Step 4: Test the 'python' Command
Now that you've made the necessary adjustments, test the 'python' command to ensure it points to Python 3:
This should again display a version number starting with '3'.
Step 5: Update Scripts and Virtual Environments
If you have existing Python scripts or virtual environments, make sure they are compatible with Python 3. Update shebang lines in scripts from '#!/usr/bin/env python' to '#!/usr/bin/env python3'. Additionally, recreate virtual environments using the 'python' command:
Conclusion:
By embracing the 'python' command instead of 'python3', you can simplify your workflow and ensure a smoother transition to Python 3. Keep in mind that some legacy projects might still use 'python2,' so always check project-specific documentation for compatibility.
Note: The specific steps may vary depending on your operating system and configuration. Always refer to the documentation for your platform for the most accurate instructions.
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