Fundamentals 7 min read

Common PyCharm Shortcut Keys for Efficient Python Development

This article compiles a comprehensive list of essential PyCharm shortcut keys, covering code editing, navigation, searching, running, debugging, refactoring, and general operations, to help Python developers work more efficiently and boost productivity.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Common PyCharm Shortcut Keys for Efficient Python Development

1. Code Editing Shortcuts

Examples include CTRL+ALT+SPACE for quick import of any class, CTRL+SHIFT+ENTER for code completion, CTRL+/ to toggle line comments, CTRL+SHIFT+/ for block comments, and CTRL+ALT+L to reformat code.

2. Search/Replace Shortcuts

Key combinations such as CTRL+F to find, F3 for the next occurrence, SHIFT+F3 for the previous occurrence, CTRL+R to replace, and CTRL+SHIFT+F to search in a specific path are listed.

3. Code Running and Debugging Shortcuts

Running shortcuts include ALT+SHIFT+F10 to select a program file and run, SHIFT+F10 to run the current file, and CTRL+SHIFT+F10 to run the file in the current editor. Debugging shortcuts feature F8 for step over, F7 for step into, SHIFT+F8 for step out, and CTRL+F8 to toggle breakpoints.

4. Navigation and Refactoring Shortcuts

Navigation shortcuts such as CTRL+N to go to a class, CTRL+SHIFT+N to open a file, and CTRL+B to jump to a declaration are provided. Refactoring shortcuts include F5 to copy files, F6 to move files, SHIFT+F6 to rename, and CTRL+ALT+M to extract code into a method.

5. General Productivity Shortcuts

Additional shortcuts like ALT+[0-9] to open tool windows, CTRL+ALT+Y for synchronization, CTRL+SHIFT+F12 to maximize the editor, and ALT+SHIFT+F to add items to favorites help streamline workflow.

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Python Programming Learning Circle
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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