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configuration management is a critical aspect of software development, especially when it comes to managing various settings and parameters of your python applications. in this tutorial, we'll explore different methods for managing configurations in python applications, including using configuration files, environment variables, and python modules.
configuration files are commonly used to store settings in a structured format that can be easily read and modified. python provides several libraries to work with different configuration file formats such as json, yaml, or ini.
let's create a simple json configuration file named config.json:
now, let's write python code to read this configuration file:
yaml is another popular format for configuration files. let's create a yaml configuration file named config.yaml:
now, let's write python code to read this yaml configuration file:
environment variables provide a way to pass configuration to applications from the system environment. python's os module can be used to access environment variables.
to set environment variables:
on unix/linux:
on windows:
python modules can also be used to store configuration settings. create a python module named config.py:
then, you can import this module in your python code:
in this tutorial, you've learned various methods for managing configurations in python applications, including configuration files, environment variables, and python modules. each method has its advantages and use cases. choose the one that best fits your application's requirements.
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