How to run pycharm quickly

Methods to quickly run code in PyCharm are: use shortcut keys (Windows/Linux: Ctrl F10, macOS: Cmd F10) use the run button (run 'filename.py' or run selected text) Using a debugger (setting breakpoints and executing code line by line) Using a terminal (pycharm-run ) Using command line arguments (pycharm --args "argument1" "argument2 ")

How to quickly run code in PyCharm

It is crucial to run code quickly in PyCharm because It saves a lot of time and increases work efficiency. This article will introduce several methods to help you execute your code quickly and efficiently.

1. Use shortcut keys

• Windows/Linux: Ctrl F10
• macOS: Cmd F10

Using shortcut keys is the easiest and fastest way to run code. It will run the block of code where the cursor is in the current file.

2. Use the Run button

In the main menu bar, find the "Run" menu. Then, choose one of the following options:

• Run 'filename.py': Runs the entire file.
• Run selected text: Run only the selected code block.

3. Using the Debugger

PyCharm's powerful debugger allows you to step through your code, set breakpoints and inspect variables at runtime. To use the debugger, follow these steps:

• Set a breakpoint (F9) in your code.
• Click the "Debug" button (green triangle).
• The debugger steps through your code line by line, allowing you to inspect variables and find errors.

4. Using the Terminal

If you prefer to use the terminal, you can run PyCharm from the terminal. Open a terminal and type the following command:

<code>pycharm-run </code>

5. Using command line arguments

PyCharm allows you to run scripts using command line arguments. This is useful for automating tasks or running code from external scripts. Open a terminal and type the following command:

<code>pycharm  --args "参数1" "参数2"</code>

Additional Tips

• ##Use a virtual environment: Use a virtual environment to isolate projects and prevent Version conflict.
• Enable Parallel Builds: Enabling Parallel Builds in Settings can significantly increase build speed for large projects.
• Use code abbreviations: PyCharm supports code abbreviations, such as "syso" for print statements, which can speed up writing code.
• Use command line build tools: Such as Make or Maven to automate the build and run process.

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