How to Efficiently Reload Submodules in IPython for Improved Workflow with NumPy/SciPy?

Reloading Submodules in IPython: An Efficient Workflow

In Python environments involving submodules and the utilization of NumPy/SciPy, IPython proves a valuable interactive console. However, reloading altered code within submodules while maintaining existing models has proven to be challenging. To enhance this workflow, explore the following suggestions:

IPython Autoreload Magic

IPython offers automatic reloading capabilities, simplifying the process of reloading changed modules. This method differs slightly from the reload command, and potential caveats are documented in the help message (%autoreload?).

To activate this feature:

1. Execute the following commands in IPython:

   • %load_ext autoreload
   • %autoreload 2

This will prompt IPython to automatically reload affected modules upon each new line execution.

Permanent Configuration

If desired, this setting can be permanently enabled by modifying the ~/.ipython/profile_default/ipython_config.py file. Append the following lines:

• c.InteractiveShellApp.extensions = ['autoreload']
• c.InteractiveShellApp.exec_lines = ['%autoreload 2']

After saving these changes, IPython will always enable automatic module reloading.

The above is the detailed content of How to Efficiently Reload Submodules in IPython for Improved Workflow with NumPy/SciPy?. For more information, please follow other related articles on the PHP Chinese website!