Manage environment variables with decouple in Python

John Higuita — Thu, 18 Feb 2021 05:40:58 +0000

In this post we're going to talk about how to set up environment variables for any Python project that we develop.

Python-decouple is a library that helps you separate the settings parameters from your source code. Its magic appears when the parameters related to an instance of the project, goes to an environment file. The parameters related to the project, goes straight to the source code.

Install

$ pip install python-decouple

Usage

The first one create a .env file in the root of your project.

TOKEN_KEY = 1232331sadsads8768:dsdsds32434-LJSAS08f

If you are working with Git, update your .gitignore adding the .env file.
Then let's create cfg.py file.

from decouple import config
TOKEN = config('TOKEN_KEY')

And finally, you already can to use the project' parameters in your main.py file.

from cfg import TOKEN

Change column type in pandas to numeric (particular case)

John Higuita — Thu, 10 Dec 2020 15:11:11 +0000

to convert the columns to numeric types, you have four main options:

to_numeric()
astype()
infer_objects()
convert_dtypes()

however, none of the four works in this case because each value has a thousands separator with a comma and a decimal separator with a dot, so this causes error.

You must delete the comma and then you can convert it to numeric.

df[column].str.replace(",", "").astype(float)

Forem: John Higuita

Manage environment variables with decouple in Python

Install

Usage

Change column type in pandas to numeric (particular case)