Load environment variables from env files in python

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loading environment variables from `.env` files in python is a common practice, especially when you want to keep sensitive information like api keys, database passwords, and other configuration details out of your source code. this is typically done using the `python-dotenv` library, which allows you to define environment variables in a `.env` file and load them into your application.

here's a step-by-step tutorial on how to do this effectively.

### step 1: install the `python-dotenv` library

first, you need to install the `python-dotenv` library if you haven't already. you can do this using pip:

### step 2: create a `.env` file

in your project directory, create a file named `.env`. this file will store your environment variables in a key-value format. for example:

### step 3: load the environment variables in your python code

now, you can load the environment variables from the `.env` file in your python script. here's a simple example:

### step 4: running your script

now you can run your script, and it will automatically load the environment variables defined in your `.env` file. make sure that your `.env` file is in the same directory as your script or specify the path when calling `load_dotenv()`.

### best practices

1. **keep `.env` files out of version control**: add `.env` to your `.gitignore` file to ensure that sensitive information does not get pushed to public repositories.

2. **use default values**: you can provide default values for environment variables to avoid potential `none` values if a variable is not found:



3. **type conversion**: since all environment variables are loaded as strings, convert them to the appropriate types (e.g., `int`, `bool`) as needed.

4. **organize configuration**: if your application grows, consider organizing related configurations into a separate module or class.

### example project structure

here’s a simple structure of how your project might look:

### conclusion

using `.env` files to manage e ...

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