Perform breakpoint debugging in PyCharm, including: opening the debugging toolbar; setting breakpoints (click on the blank line number area on the left); starting debugging (debugger drop-down menu); executing code step by step (Step Over , Step Into, Step Out); view variables and expressions (hover or enter the debugger variables pane); continue debugging (continue button or F9); delete breakpoints (click the red dot or use "Delete all breakpoints" ” button).
How to do breakpoint debugging in PyCharm
Breakpoint debugging is a powerful tool that can help You step through the code and identify problems. To set breakpoints in PyCharm, you can follow these steps:
1. Open the debugging toolbar
Click "Run" in the menu bar> "Debug", or use the shortcut "Ctrl Alt Shift D" (Windows) or "Cmd Option Shift D" (Mac).
2. Set a breakpoint
On the line where you want the code to stop executing, click the blank line number area to the left. When a red dot appears around the line number, it indicates that a breakpoint has been set.
3. Start debugging
Click the "Debugger" drop-down menu in the debug toolbar and select "Debug" or "Debug 'filename.py'" . PyCharm will execute the code starting from the breakpoint line.
4. Step through code
When the code stops at a breakpoint, you can step through it using the buttons in the debug toolbar:
- Step Over (F8): Execute the current line without entering the function.
- Step Into (F7): Function that enters the current line.
- Step Out (Shift F7): Exit the current function.
5. View variables and expressions
To view a variable or expression, hover over it in the code or in "Debugger Variables" Enter its name in the pane. You can also right-click a variable and select Evaluate Expression to evaluate an expression in the Console.
6. Continue debugging
You can use the "Continue" button or the shortcut key "F9" to continue executing the code until the next breakpoint or the end of the code.
7. Delete a breakpoint
To delete a breakpoint, click the red dot in the line number area again. You can also delete all breakpoints using the "Delete All Breakpoints" button in the debug toolbar.
The above is the detailed content of How to debug breakpoints in pycharm. For more information, please follow other related articles on the PHP Chinese website!

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...


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

Zend Studio 13.0.1
Powerful PHP integrated development environment

SublimeText3 Linux new version
SublimeText3 Linux latest version

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.