Pycharm commonly used shortcut keys are: 1. Ctrl C / Ctrl V, copy and paste selected text or code blocks; 2. Ctrl X, cut selected text or code blocks; 3. Ctrl Z , undo the last operation; 4. Ctrl Y, redo the last undo operation; 5. Ctrl D, copy the current line or selected code block; 6. Ctrl W, gradually select the code block; 7. Ctrl /, comment Or uncomment selected lines or blocks of code, etc.
The operating system for this tutorial: Windows 10 system, Python version 3.11.4, DELL G3 computer.
PyCharm is a powerful Python integrated development environment (IDE) that provides many shortcut keys and operations to improve development efficiency. The following is an introduction to some commonly used shortcut keys and operations in PyCharm:
1. Editing and navigation shortcut keys:
Ctrl C / Ctrl V: Copy and paste selected blocks of text or code.
Ctrl X: Cut selected text or code block.
Ctrl Z: Undo the last operation.
Ctrl Y: Redo the last undo operation.
Ctrl D: Copy the current line or selected block of code.
Ctrl W: Gradually select the code block (pressing multiple times will expand the selection).
Ctrl Shift W: Gradually decrease the selected code block.
Ctrl /: Comment or uncomment selected lines or blocks of code.
Ctrl F: Find text in the current file.
Ctrl R: Replace text in the current file.
Ctrl N: Quickly find and navigate to classes by class name.
Ctrl Shift N: Quickly find and navigate to files by file name.
Ctrl B: Jump to the definition of the symbol where the cursor is located.
Ctrl Alt B: Jump to the implementation of the symbol.
Ctrl E: Display a list of recently opened files.
#2. Code editing shortcut keys:
Ctrl Space: Code auto-completion.
Ctrl Shift Enter: Inserts a new line above the current line.
Tab / Shift Tab: Indent or unindent selected code blocks.
Ctrl Alt L: Format selected code.
Ctrl Alt O: Optimize the import statement.
Ctrl Alt I: Automatically indent selected code blocks.
Ctrl Alt T: Add a code template (such as if statement, try-catch statement, etc.) around the selected code block.
Ctrl Alt M: Extract the selected code block into a method.
Shift F6: Rename the selected symbol.
Alt Enter: Displays suggestions for quick fixes and code refactorings.
3. Debugging and running shortcut keys:
Shift F10: Run the current file.
Shift F9: Debug the current file.
F8: Execute the code line by line (in debug mode).
F7: Enter the current method body (in debugging mode).
Shift F8: Jump out of the current method body (in debug mode).
Ctrl F2: Stop debugging session.
Alt Shift F10: Open the run configuration menu.
Ctrl Shift F10: Rerun the last run configuration.
4. Version control shortcut keys:
Ctrl K: Submit the code to the version control system.
Ctrl T: Update code from version control system.
Ctrl Shift K: Push code to the remote version control system.
Alt `: Display the operation menu of the version control system.
These are just some of the common shortcut keys and operations in PyCharm. There are many other functions and shortcut keys that can be customized and used according to personal needs. You can find more shortcuts and operations by checking PyCharm's official documentation or the help menu in the IDE.
The above is the detailed content of What are the commonly used shortcut keys in pycharm?. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

WebStorm Mac version
Useful JavaScript development tools