Clean Python

 Visual Studio Code provides built-in support for running and debugging Python code, as well as several extensions that can help with code formatting and linting (checking for syntax and style errors).

One popular extension for code formatting and linting in Python is "Pylint", which you can install by going to the Extensions panel in Visual Studio Code and searching for "Pylint". Once you've installed the extension, you can enable it for your Python projects by creating a configuration file (e.g. .pylintrc) in your project directory and setting the appropriate options.

To automatically check your Python code using Pylint in Visual Studio Code, you can add a task to your tasks.json file that runs the Pylint command on your code. Here's an example tasks.json file:

bash
{
    "version": "2.0.0",
    "tasks": [
        {
            "label": "lint",
            "type": "shell",
            "command": "pylint ${file}",
            "group": {
                "kind": "build",
                "isDefault": true
            }
        }
    ]
}

This task runs the pylint command on the current file, and is set as the default build task (isDefault: true) so that you can easily trigger it with the Ctrl+Shift+B shortcut.

With this setup, Visual Studio Code will automatically run Pylint on your Python code and display any errors or warnings in the Problems panel. You can also customize the Pylint options by adding them to your pylintrc file.

Pylint and Flake8


Pylint and Flake8 are both popular Python linters that check your code for syntax and style errors, but they have some differences in their features and approach.

Pylint is a more comprehensive linter that checks for a wide range of errors, including code formatting, variable naming, and code complexity. It also assigns a score to your code based on its overall quality, and provides detailed reports that can help you identify and fix issues. Pylint is highly configurable and can be customized to suit your specific needs.

Flake8, on the other hand, is a simpler linter that focuses on code formatting and style. It combines several other tools, including PyFlakes (a syntax checker) and pycodestyle (a code style checker), to provide a unified interface for checking your code. Flake8 checks for issues such as unused imports, missing whitespace, and code style violations.

In summary, the main difference between Pylint and Flake8 is their scope and focus. Pylint is a more comprehensive tool that checks for a wider range of issues, while Flake8 is a simpler tool that focuses on code formatting and style. Which tool you choose to use will depend on your specific needs and preferences.

Flake8

Flake8 is a Python linter that combines several other tools, including PyFlakes, pycodestyle, and McCabe, to provide a comprehensive set of checks for your code. Some of the best models in Flake8 for Python code checking include:

  1. PyFlakes: PyFlakes is a simple syntax checker that checks for common programming errors, such as undefined names and unused imports.

  2. pycodestyle: pycodestyle checks your code for PEP 8 style violations, such as indentation errors, missing whitespace, and line length violations.

  3. McCabe: McCabe checks your code for complexity by analyzing the control flow of your program and calculating a complexity score for each function.

  4. F401: F401 is a check that looks for unused imports in your code, helping you to identify and remove unnecessary dependencies.

  5. E501: E501 is a check that looks for line length violations in your code, ensuring that your code is readable and easy to understand.

Overall, Flake8 provides a comprehensive set of checks for your Python code, including syntax checking, style checking, complexity analysis, and more. By using Flake8 to check your code, you can ensure that it is both correct and easy to understand, helping you to write high-quality Python programs.

Pylint


Pylint is a Python linter that provides a comprehensive set of checks for your code, including syntax checking, style checking, complexity analysis, and more. Some of the best models in Pylint for Python code checking include:

  1. E1101: E1101 checks for undefined variable names, ensuring that all variables used in your code are properly defined.

  2. C0103: C0103 checks for naming conventions, ensuring that all variables, functions, and classes are named according to PEP 8 conventions.

  3. R1710: R1710 checks for inconsistent return values, ensuring that all functions return a consistent value type.

  4. W0703: W0703 checks for broad exception handling, ensuring that you are not using overly broad exception handling that can hide errors in your code.

  5. C0301: C0301 checks for line length violations, ensuring that your code is easy to read and understand.

Overall, Pylint provides a wide range of checks for your Python code, helping you to ensure that it is both correct and well-written. By using Pylint to check your code, you can identify and fix issues that might otherwise go unnoticed, helping you to write high-quality Python programs

Mypy


Mypy is a static type checker for Python. It is a tool that can help you catch errors in your code by verifying the types of variables, arguments, and return values at compile time. Mypy checks your code against the type hints that you have added to your code, ensuring that your code is both correct and well-typed.

Mypy is designed to help you catch errors early in the development process, before you even run your code. By checking your code at compile time, you can avoid runtime errors and reduce the amount of time that you spend debugging your code.

Mypy supports several advanced type features, such as union types, generic types, and type aliases. It also integrates with popular Python development tools, such as PyCharm, VS Code, and Sublime Text, providing real-time feedback on type errors as you write your code.

Overall, mypy is a powerful tool that can help you write more correct and maintainable Python code by verifying the types of your variables, arguments, and return values. By using mypy to check your code, you can catch errors early in the development process and write more reliable software.

To set up mypy in Visual Studio Code, you can follow these steps:

  1. Install the mypy package: You can install the mypy package by running the following command in your terminal:

    pip install mypy

  2. Install the Python extension for VS Code: The Python extension for VS Code provides support for mypy and other Python development tools. You can install it from the VS Code Marketplace.

  3. Configure mypy in VS Code: Open your VS Code settings (press Ctrl+Comma on Windows/Linux or Command+Comma on macOS) and add the following configuration to your settings.json file:

    json
    "python.linting.mypyEnabled": true,

    This will enable mypy for your Python projects in VS Code.

  4. Add type annotations to your code: Mypy checks your code against the type annotations that you have added to your code. To use mypy effectively, you will need to add type annotations to your variables, functions, and other objects.

    For example, you can add a type annotation to a variable like this:

    python
    name: str = "John"

    This tells mypy that the variable "name" should always be a string.

  5. Run mypy in VS Code: You can run mypy in VS Code by opening the Command Palette (press Ctrl+Shift+P on Windows/Linux or Command+Shift+P on macOS) and running the "Python: Run Linting" command. This will run mypy and other Python linters on your code and display any errors or warnings in the "Problems" panel.

Overall, setting up mypy in VS Code is a straightforward process that can help you catch errors in your Python code by verifying the types of your variables, arguments, and return values. By using mypy with VS Code, you can write more correct and maintainable Python code

Autopep8


Autopep8 is a tool for automatically formatting Python code to conform to the PEP 8 style guide. PEP 8 is a widely used style guide for Python code that provides guidelines on code formatting, naming conventions, and more. By using autopep8, you can ensure that your code is consistent, easy to read, and conforms to industry best practices.

Autopep8 works by analyzing your code and making changes to it to conform to the PEP 8 style guide. It can automatically format your code to conform to PEP 8 guidelines for indentation, whitespace, line length, and more. Autopep8 can be run from the command line or integrated into your text editor or IDE, making it easy to use in your development workflow.

Autopep8 can also help you save time by automating the process of manually formatting your code. By using autopep8, you can focus on writing code, rather than worrying about code formatting.

Overall, autopep8 is a useful tool for anyone who wants to write Python code that conforms to industry best practices and is easy to read and understand. By using autopep8, you can ensure that your code is well-formatted and consistent, helping you to write high-quality Python programs.

To set up Autopep8 in VS Code, you can follow these steps:

  1. Install the Autopep8 package: You can install the Autopep8 package by running the following command in your terminal:

    pip install autopep8

  2. Install the Python extension for VS Code: The Python extension for VS Code provides support for Autopep8 and other Python development tools. You can install it from the VS Code Marketplace.

  3. Configure Autopep8 in VS Code: Open your VS Code settings (press Ctrl+Comma on Windows/Linux or Command+Comma on macOS) and add the following configuration to your settings.json file:

    json
    "python.formatting.provider": "autopep8",
    "editor.formatOnSave": true

    This will set Autopep8 as your default formatting provider for Python code in VS Code and enable auto-formatting on save.

  4. Run Autopep8 in VS Code: You can run Autopep8 in VS Code by opening a Python file and selecting the "Format Document" command from the "Editor" menu or by using the keyboard shortcut (Shift+Alt+F on Windows/Linux or Shift+Option+F on macOS). This will run Autopep8 on your code and format it according to PEP 8 guidelines.

Overall, setting up Autopep8 in VS Code is a straightforward process that can help you format your Python code automatically according to the PEP 8 style guide. By using Autopep8 with VS Code, you can save time and ensure that your code is well-formatted and consistent.

isort


isort is a Python utility that helps you sort your imports in a consistent and readable manner. When working with Python, it is common to use a variety of external libraries and modules. Managing imports for these modules can become a time-consuming and error-prone task, especially as the number of dependencies increases. isort automates this task by sorting and organizing import statements in a uniform way, making it easier to read and maintain Python code.

isort works by analyzing the import statements in your Python code and reordering them in a consistent and readable manner. isort also provides several options and configurations to customize the behavior of the utility. Some of the features of isort include:

  • Sorting imports alphabetically
  • Grouping imports by type (standard library, third-party, and local)
  • Configurable import styles (e.g. import x, y vs. from x import y)
  • Customizable import grouping and ordering
  • Support for Python 2 and Python 3 code

Overall, isort is a useful tool for managing imports in Python projects, helping to ensure that your code is well-organized and easy to read. By using isort in your development workflow, you can save time and avoid errors when working with large or complex Python projects.

To set up isort in VS Code, you can follow these steps:

  1. Install the isort package: You can install the isort package by running the following command in your terminal:

    pip install isort

  2. Install the Python extension for VS Code: The Python extension for VS Code provides support for isort and other Python development tools. You can install it from the VS Code Marketplace.

  3. Configure isort in VS Code: Open your VS Code settings (press Ctrl+Comma on Windows/Linux or Command+Comma on macOS) and add the following configuration to your settings.json file:

    json
    "python.sortImports.path": "isort",
    "python.sortImports.args": [
        "--profile=black"
    ]

    This will configure VS Code to use isort as the import sorting tool and to pass the --profile=black argument to isort. The black profile ensures that imports are sorted according to the Black code style guidelines.

  4. Run isort in VS Code: You can run isort in VS Code by opening a Python file and selecting the "Sort Imports" command from the "Editor" menu or by using the keyboard shortcut (Shift+Alt+F on Windows/Linux or Shift+Option+F on macOS). This will run isort on your code and sort your imports according to the configuration settings.

Overall, setting up isort in VS Code is a straightforward process that can help you manage imports in your Python projects. By using isort with VS Code, you can ensure that your code is well-organized and conforms to industry best practices for import sorting.

Here's an example of a settings.json file for VS Code with settings to support clean coding practices in Python:

swift
{
    "workbench.colorCustomizations": {
        "tab.activeBackground": "#555555cc"
    },
    // flake8
    "python.linting.enabled": true,
    "python.linting.pylintEnabled": false,
    "python.linting.flake8Enabled": true,
    "python.linting.lintOnSave": false,
    "python.linting.flake8Args": [
        "--max-line-length",
        "140",
    ],
    // autopep8
    "python.formatting.provider": "autopep8",
    "editor.formatOnSave": true,
    "python.formatting.autopep8Args": [
        "--max-line-length",
        "140",
    ],
    // mypy
    "python.linting.mypyEnabled": true,
    // isort
    "editor.codeActionsOnSave": {
        "source.organizeImports": true
    },
    "jupyter.askForKernelRestart": false,
    "editor.minimap.enabled": false,
    "[python]": {
        "editor.formatOnType": true
    }
}

This settings.json file includes settings for linting with Pylint, Flake8, and Mypy, auto-formatting with Autopep8, and import sorting with isort. It also includes settings for indentation, whitespace, and newlines. Finally, it sets the integrated terminal to use the Windows command prompt.

Note:

isort default length is 79, if the length is longer than 79 it is divided it into another line. we can use the folowing setting.

creating .isort.cfg or pyproject.toml

Example pyproject.toml

[tool.isort]
line_length = 140
Example for command line code 
flake8 --max-line-length 140 .

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