Author: Zen and the Art of Computer Programming
1 Introduction
Python has become a very popular scripting language for solving various data processing tasks quickly and easily. However, in actual projects, due to various reasons (such as: changes in requirements, development of new functions, iterative updates of modules, etc.), some complex problems are often encountered. Therefore, mastering Python debugging skills is very important for us to troubleshoot and solve problems in the future. This article will explain Python debugging methods and tools from the following aspects:
- Logging module: Logging is a very important process. Logging can help us track what happened when the code is running, and also help analyze the root cause of the problem. This article will introduce how to use the logging module correctly, including setting the level, output format, file and terminal, etc.
- The pdb debugger module: The Python standard library provides a pdb module, which provides an interactive command-line interface that lets the user step into the program being debugged and step through program statements. This article will introduce in detail how to use pdb for code debugging, including setting breakpoints, viewing variable values, stepping through programs, printing call stacks, conditional breakpoints, etc.
- PyCharm IDE usage tips: PyCharm is a very popular integrated development environment (IDE) in the Python programming environment. This article will introduce some tips for using PyCharm, including code completion, code hints, automatic package import, and jump to definition wait.
- Flask framework debugging tips: Flask is a Python web framework that is lightweight, high-performance, and easy to use. This article will introduce how to use Flask to debug web applications, including configuring the debugging mode, viewing request parameters, and obtaining response results.
- Debugging in Docker Containers: The popularity of Docker container technology has promoted the development of the DevOps development model. This article will introduce the method of Python debugging in the Docker container, including starting the container, mounting the file system, debugging the running program, etc.
2. Relevant knowledge points