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Python for Data Analysis, 3rd Edition
book

Python for Data Analysis, 3rd Edition

by Wes McKinney
August 2022
Beginner to intermediate
582 pages
13h 6m
English
O'Reilly Media, Inc.
Content preview from Python for Data Analysis, 3rd Edition

Appendix B. More on the IPython System

In Chapter 2 we looked at the basics of using the IPython shell and Jupyter notebook. In this appendix, we explore some deeper functionality in the IPython system that can either be used from the console or within Jupyter.

B.1 Terminal Keyboard Shortcuts

IPython has many keyboard shortcuts for navigating the prompt (which will be familiar to users of the Emacs text editor or the Unix bash shell) and interacting with the shell’s command history. Table B-1 summarizes some of the most commonly used shortcuts. See Figure B-1 for an illustration of a few of these, such as cursor movement.

Table B-1. Standard IPython keyboard shortcuts
Keyboard shortcutDescription
Ctrl-P or up-arrowSearch backward in command history for commands starting with currently entered text
Ctrl-N or down-arrowSearch forward in command history for commands starting with currently entered text
Ctrl-RReadline-style reverse history search (partial matching)
Ctrl-Shift-VPaste text from clipboard
Ctrl-CInterrupt currently executing code
Ctrl-AMove cursor to beginning of line
Ctrl-EMove cursor to end of line
Ctrl-KDelete text from cursor until end of line
Ctrl-UDiscard all text on current line
Ctrl-FMove cursor forward one character
Ctrl-BMove cursor back one character
Ctrl-LClear screen
Figure B-1. Illustration of some keyboard shortcuts in the IPython shell

Note that Jupyter notebooks have a largely ...

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ISBN: 9781098104023Errata Page