Search results
$ ipython [options] files
- You start IPython with the command: $ ipython [options] files If invoked with no options, it executes all the files listed in sequence and drops you into the interpreter while still acknowledging any options you may have set in your ipython_config.py.
Dec 13, 2011 · To start IPython shell directly in Python: from IPython import embed. a = "I will be accessible in IPython shell!" embed() Or, to simply run it from command line: $ python -c "from IPython import embed; embed()" embed will use all local variables inside shell.
Command-line usage. You start IPython with the command: $ ipython [options] files. If invoked with no options, it executes the file and exits, passing the remaining arguments to the script, just as if you had specified the same command with python.
You start IPython with the command: $ ipython [options] files. If invoked with no options, it executes all the files listed in sequence and drops you into the interpreter while still acknowledging any options you may have set in your ipython_config.py.
Switch modes for the IPython exception handlers. Options: 'Context', 'Plain', 'Verbose', 'Minimal' Default: 'Context' HistoryAccessor.connection_options Options for configuring the SQLite connection. These options are passed as keyword args to sqlite3.connect when establishing database connections. Trait type: Dict. HistoryAccessor.enabled
You don’t need to know anything beyond Python to start using IPython – just type commands as you would at the standard Python prompt. But IPython can do much more than the standard prompt. Some key features are described here.
The IPython Console allows you to execute commands and interact with data inside IPython interpreters. To launch a new IPython instance, go to New console (default settings) under the Consoles menu, or use the keyboard shortcut Ctrl - T ( Cmd - T on macOS) when the console is focused.
Sep 7, 2023 · Table of Contents. Getting Started with IPython. Advanced IPython Features. Exploring Alternatives to IPython. IPython Troubleshooting: Common Issues and Solutions. Understanding Python Interpreters and the REPL Environment. IPython: Facilitating Larger Projects and Data Analysis. Wrapping Up: Mastering IPython for Enhanced Python Development.
