PYTHON — Reload Imported Modules in Python
Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver. — Diane Ackerman
In Python, it’s common to import modules or packages to utilize helper functions and classes. However, what happens when you make changes to these imported modules? Do you need to restart the entire session to see the updates take effect? Fortunately, with the bpython enhanced REPL, you can reload imported modules on demand without restarting the session, saving you time and effort in the testing and debugging process.
To reload imported modules manually in a bpython session, you can follow these steps:
- Make changes to the imported modules in your code editor.
- Press F6 in the bpython session to reload the modules and reevaluate the complete session since starting the REPL.
This manual reloading feature is invaluable for exploratory testing, as it allows you to update the code and see the changes in real time without the need to restart the entire session.
If you prefer automatic module reloading, bpython also supports this feature by installing the external watchdog library as an optional dependency in the same virtual environment where bpython is installed. Once installed, you can enable the auto-reload feature by hitting F5 in the bpython session. This feature monitors imported modules and packages, automatically reloading them whenever changes are saved in the files.
To demonstrate the changes in real time, let’s consider the example of making changes to the greet() function. As you modify the function in your code editor and save the changes, you will immediately see the updates in the bpython session. This automatic reloading feature is a significant improvement over manual module reloading and can greatly enhance your productivity.
To disable the auto-reload feature, simply hit F5 again, which serves as a toggle for this functionality.
In summary, the bpython enhanced REPL provides several code editing features that are not available in the standard Python REPL, making it easier to fix mistakes and refactor code more efficiently. Additionally, bpython offers various ways to share your REPL session, which can be beneficial in mentoring, teaching, or collaborative coding scenarios.
As you become familiar with bpython, you can explore its advanced features, such as configuring settings, debugging, and contributing to bpython itself.
In conclusion, mastering the ability to reload imported modules in a bpython session can significantly improve your coding workflow and productivity, allowing for seamless testing and debugging without the need for frequent session restarts.