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How to use env variable file Python tutorial

In this video tutorial, I'll walk you through how to use an env variable file python. .env files are a simple way to manage your application's environment variables, including sensitive information like API keys, passwords, and database credentials.

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? FULL VIDEO

https://youtu.be/qZ5IyRJxT3A

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? CHAPTERS

00:00 Introduction
00:28 What are .env files in Python
01:15 Pip install python-dotenv
01:26 Create .env, .gitignore
01:51 Create API keys and passwords in .env
02:06 Imports and load_dotenv()
02:19 Use os.getenv()
02:29 #runthat ?
02:44 See it working

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?️ BLOG POST FOR THIS VIDEO

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https://www.runthat.blog/how-to-create-and-use-env-files-in-python/

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VIDEO - https://youtu.be/RlMfr2OJZFc
BLOG - https://www.runthat.blog/pop-method-in-python/

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? THIS VIDEO

Python is a versatile programming language that is used for a wide range of applications, from web development to data science. As with any programming language, managing environment variables is an important aspect of Python development. Environment variables are variables that are set outside of the code and are used to configure the environment in which the code is running. They can be used to store sensitive information, such as API keys and passwords, that should not be hard-coded into the code. An env variable file is easy to set up and use with Python.

One way to manage environment variables in Python is by using .env files. A .env file is a file that contains a set of key-value pairs, where each key represents an environment variable and the value represents the value of that variable. In this article, we will discuss what .env files are, how to create and use them in Python, and provide some examples of how they can be used.

What is a .env file in Python?

A .env file is a simple text file that contains a set of key-value pairs. Each key represents an environment variable and the value represents the value of that variable. These files are typically used to store configuration information for an application or to store sensitive information that should not be hard-coded into the code.

For example, let's say you are working on a web application that needs to access a third-party API. The API requires an API key to authenticate requests. You could hard-code the API key into your code, but this would be a bad idea as it would expose the key to anyone who has access to the code. Instead, you could store the API key in a .env file and then load the key into your code at runtime. This way, the key is kept separate from the code and is not exposed to anyone who does not have access to the .env file.

To load the values in your .env file, you'll use the Python-dotenv library. Python-dotenv is a popular Python library that simplifies the process of loading environment variables from a .env file into your Python application. The library provides a simple API for loading .env files and makes it easy to access the values of environment variables from within your code.

To use python-dotenv to load environment variables into your script, you first need to install it using pip. Once you have installed the library, you can use the "load_dotenv" function from the "dotenv" module to load the environment variables from the .env file into your application. The "load_dotenv" function looks for a .env file in the current directory by default, but you can specify a different path if your .env file is located in a different directory.

After you have loaded the environment variables into your script, you can access the values of the environment variables using the "os.getenv" function. This function takes the name of the environment variable as its argument and returns the value of the variable. Once you have loaded the environment variables into your Python code, you can use them just like any other variable in your code. For example, you could use the API key to authenticate requests to a third-party API or use the database name to connect to a database.

By using .env files and the python-dotenv library, you can keep sensitive information separate from your code and ensure that your application is easily configurable.

... WATCH THE VIDEO FOR MORE!

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