Pylint

Haiyue
5min

Chapter 1: Getting Started with Pylint Basics

Learning Objectives:

  1. Understand the role and core concepts of Pylint
  2. Master Pylint installation and basic usage
  3. Understand the importance of code quality checking
  4. Master basic command-line usage methods

Brief Description: Learn Pylint from scratch, understand the value of static code analysis, and master basic code quality checking methods.

Chapter 2: Message Types and Error Analysis

Learning Objectives:

  1. Master the five message types of Pylint
  2. Understand different levels such as errors, warnings, and conventions
  3. Learn how to interpret Pylint reports
  4. Master identification and fixing of common issues

Brief Description: Gain in-depth knowledge of Pylint’s message system and learn how to analyze and handle different types of code problems.

Chapter 3: Configuration Files and Custom Rules

Learning Objectives:

  1. Master the use of .pylintrc configuration files
  2. Learn how to customize checking rules
  3. Understand project-level configuration management
  4. Master methods for enabling and disabling rules

Brief Description: Learn how to customize Pylint behavior through configuration files to adapt to different project code standard requirements.

Chapter 4: Code Style and PEP8 Standards

Learning Objectives:

  1. Understand the importance of PEP8 coding standards
  2. Master Pylint’s code style checking
  3. Learn naming conventions and formatting rules
  4. Master code structure and organization standards

Brief Description: Dive deep into Python code style standards and use Pylint to ensure code complies with community standards.

Chapter 5: Code Complexity Analysis

Learning Objectives:

  1. Understand the concept and calculation of cyclomatic complexity
  2. Master code complexity assessment methods
  3. Learn how to reduce code complexity
  4. Master refactoring and optimization techniques

Brief Description: Learn to use Pylint to analyze code complexity, identify and improve complex code structures.

Chapter 6: Import Analysis and Dependency Management

Learning Objectives:

  1. Master best practices for Python import mechanisms
  2. Learn detection and resolution of circular import problems
  3. Understand identification of unused imports
  4. Master dependency relationship analysis methods

Brief Description: Dive deep into Python module import standards and problems, use Pylint to optimize project dependency structure.

Chapter 7: Class and Object-Oriented Checking

Learning Objectives:

  1. Master Pylint checks for object-oriented programming
  2. Learn best practices for class design
  3. Understand code standards for inheritance and polymorphism
  4. Master correct usage of special methods

Brief Description: Learn to use Pylint to check object-oriented code and ensure class design follows Python best practices.

Chapter 8: Exception Handling and Security Checking

Learning Objectives:

  1. Master Pylint checking rules for exception handling
  2. Learn best practices for secure coding
  3. Understand identification of potential security risks
  4. Master code security analysis methods

Brief Description: Learn to use Pylint to check exception handling and security-related issues, improving code robustness and security.

Chapter 9: Integration with IDE and CI/CD

Learning Objectives:

  1. Master integration of Pylint with mainstream IDEs
  2. Learn to use Pylint in CI/CD pipelines
  3. Understand automated code quality checking
  4. Master code standard management in team collaboration

Brief Description: Learn to integrate Pylint into the development toolchain to achieve automated code quality assurance.

Chapter 10: Plugin Development and Extensions

Learning Objectives:

  1. Understand Pylint plugin architecture
  2. Master development of custom checkers
  3. Learn plugin packaging and distribution
  4. Master enterprise-level rule customization

Brief Description: Learn how to extend Pylint functionality and develop custom checking rules that meet specific requirements.

Chapter 11: Performance Optimization and Large Project Applications

Learning Objectives:

  1. Master application of Pylint in large projects
  2. Learn performance optimization and configuration tuning
  3. Understand incremental checking and parallel processing
  4. Master code quality metrics and reporting

Brief Description: Learn to use Pylint efficiently in large projects, optimize checking performance and manage code quality.

Chapter 12: Practical Projects and Best Practices

Learning Objectives:

  1. Design complete code quality checking solutions
  2. Implement team-level code standard management
  3. Master combined use of Pylint with other tools
  4. Summarize best practices for using Pylint

Brief Description: Through real project cases, comprehensively apply learned knowledge to establish a complete code quality assurance system.