IPython Magic Commands in Jupyter Notebook (2026) - Part 8 | Step-by-Step Guide

This video explains IPython Magic Commands in Jupyter Notebook (2026). Below is a Step-by-Step Guide on some of the useful IPython Magic Commands in Jupyter Notebook: 1. %autocall 📌 Key Points: Automatically adds parentheses when calling functions. Makes function calls more convenient in interactive sessions. Has three modes: 0 = Off 1 = Smart 2 = Full 📌 Command: len("Hello") %autocall 2 len "Hello" 📌 Sample Output: 5 Automatic calling is: Full ------ len("Hello") ------ len("Hello") 5 2. %pdef 📌 Key Points: Displays the function signature (definition) of an object. Useful for checking parameters accepted by a function. Similar to viewing a function prototype. 📌 Command: %pdef print 📌 Sample Output: print(*args, sep=' ', end='\n', file=None, flush=False) 3. %pdoc 📌 Key Points: Shows the documentation (docstring) of an object. Helps understand what a function, class, or module does. Similar to Python's help() function. 📌 Command: %pdoc print 📌 Sample Output: Class docstring: Prints the values to a stream, or to sys.stdout by default. sep string inserted between values, default a space. end string appended after the last value, default a newline. file a file-like object (stream); defaults to the current sys.stdout. flush whether to forcibly flush the stream. Call docstring: Call self as a function. 4. %pfile 📌 Key Points: Displays the source file where an object is defined. Opens and shows the contents of the corresponding Python file. Useful for inspecting implementation details. 📌 Command: import statistics %pfile statistics.mean 📌 Sample Output: Basic statistics module. This module provides functions for calculating statistics of data, including averages, variance, and standard deviation. 5. %psearch 📌 Key Points: Searches for objects matching a pattern. Useful when you remember only part of a function or variable name. Supports wildcard searches. 📌 Command: %psearch st* 📌 Sample Output: staticmethod statistics str 6. %autoawait 📌 Key Points: Controls automatic handling of await expressions. Useful when working with asynchronous code (async/await). Commonly used in Jupyter notebooks. 📌 Command: %autoawait on import asyncio await asyncio.sleep(1) print("Done") 📌 Sample Output: Done 7. %autosave 📌 Key Points: Sets the notebook's autosave interval. Time is specified in seconds. Helps prevent loss of work. 📌 Command: %autosave 60 📌 Sample Output: Autosaving every 60 seconds 8. %code_wrap 📌 Key Points: Wraps selected code in a predefined template. Useful for quickly creating functions, loops, exception blocks, etc. Primarily available in IPython/Jupyter environments that support code templates. 📌 Command: %%code_wrap test print('test') _code_ %code_wrap --list-all print("Hello") %code_wrap --remove test 📌 Sample Output: test test : print('test') _code_ test Hello test Reference Guide: https://skillquesters.blogspot.com/20... #IPython #MagicCommands #IPythonMagicCommands #JupyterNotebook 0:00 Intro 0:30 %autocall 3:21 %pdef 4:24 %pdoc 5:23 %pfile 6:33 %psearch 7:31 %autoawait 9:21 %autosave 10:16 %code_wrap 12:53 Reference Guide 13:08 Outro