🖥️ipython

➡️This is a command-line reference manual for commands and command combinations that you don’t use often enough to remember it. This cheatsheet explains the ipython command with important options and switches using examples.

3 minute read

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# create a ipython profile
ipython profile create profile_name

# use specified profile
ipython --profile=${profile_name}

# list objects, functions, etc. that have been added in the current namespace,
# as well as modules that have been imported
%who

# Assign a name to a set of input commands,
# so that they can be executed all together using the assigned name
%macro

# This will open an editor (whatever the shell variable EDITOR is set to, see above, or vi/vim if no variable is set)
# containing the specified material, based on what arguments are provided,
# and will execute that code once the editor is exited
%edit

# This lists all ipython magic commands
%lsmagic

# store variables, functions, etc. that you've defined in your .ipython/ipythonrc file for use in future sessions
%store

# configure ipython to automatically open the python debugger pdb when an error occurs
%pdb

# timing functions to see how long expressions take to execute
%time
%timeit

# to log ipython input and/or output to files
%logstart
%logon
%logoff
%logstate

# (to change directories, manipulate directory stacks, and create directory "bookmarks") 
%cd
%pushd
%popd
%bookmark

# Resets the interactive environment
%reset

# Allows you to see any part of your input history
%hist 

# Search ("grep") through your history by typing
%hist -g somestring

# List objects, functions, etc. that have been added in the current
# namespace, as well as modules that have been imported
%who

# Show internal IPython aliases
%alias

# Embed ipython in python code
from IPython import embed; embed()

Cheatsheets are an excellent complement to other information sources like Linux man-pages, Linux help, or How-To’s and tutorials, as they provide compact and easily accessible information. While man-pages and detailed tutorials often contain comprehensive explanations and extensive guides, cheatsheets summarize the most important options forthe command ipython in a clear format. This allows users to quickly access the needed information for ipython without having to sift through lengthy texts. Especially in stressful situations or for recurring tasks, cheatsheets for ipython are a valuable resource to work efficiently and purposefully.

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