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pip install dev dependencies
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When developing software projects, it's common to have dependencies that are necessary for testing, documentation, or other development-related tasks but are not required for the actual runtime of the application. These dependencies are typically referred to as "development dependencies" or "dev dependencies." In Python, the package manager pip provides a convenient way to manage both regular and development dependencies.
Let's start by creating a simple Python project. Open your terminal and follow these steps:
Create a new project folder:
Create a virtual environment (optional but recommended):
In this example, requests is a regular dependency, and pytest is a development dependency used for testing.
To install regular dependencies, run the following command:
To install development dependencies, use the -e or --editable option along with the -r flag:
The -e . option tells pip to install the current directory as an editable package. This is useful when you're actively developing the project, as it allows changes to the code to take effect without reinstalling the package.
Remember to activate your virtual environment before running the pip install commands if you're using one:
Now you're ready to develop your Python project with organized and easily manageable dependencies!
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Let's start by creating a simple Python project. Open your terminal and follow these steps:
Create a new project folder:
Create a virtual environment (optional but recommended):
In this example, requests is a regular dependency, and pytest is a development dependency used for testing.
To install regular dependencies, run the following command:
To install development dependencies, use the -e or --editable option along with the -r flag:
The -e . option tells pip to install the current directory as an editable package. This is useful when you're actively developing the project, as it allows changes to the code to take effect without reinstalling the package.
Remember to activate your virtual environment before running the pip install commands if you're using one:
Now you're ready to develop your Python project with organized and easily manageable dependencies!
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