Articles

Debug inside the container—directly from PyCharm In the previous article, we looked at setting up Python with Docker. We skipped all of the environment headaches. If you’re using PyCharm, you might have noticed that everything is underlined red, like your code is broken. Let’s fix that with Docker again. https://www.dinocajic.com/python-p1-getting-started-with-python-and-docker-compose/ Open up PyCharm and go to your interpreter. It should be at the bottom right of your screen.   Select Add New Interpreter and then Docker. We already have a Dockerfile inside of our project so we can simply leave the settings as is. If you don’t see Docker on

Containerize your first Python project in minutes Docker is one of those environments that I can’t live without anymore. It’s interesting that there aren’t many resources that discuss getting a basic Python script going with Docker and docker-compose. Let’s see how simple this is to do with Python. Create a new directory for your project and navigate into it: mkdir python_test cd python_test Create a new file called Dockerfile with the following content: FROM python:3.11-slim-buster WORKDIR /app COPY requirements.txt ./ RUN pip install –no-cache-dir -r requirements.txt COPY . . CMD [ “python”, “app.py” ] This Dockerfile sets up a Python 3.11 environment,

The language that does it all I jumped into this Python tutorial series without explaining why one might want to learn Python in the first place. Python is a high-level, interpreted programming language that was first released in 1991 by Guido van Rossum. It is named after Monty Python, the British comedy group, which explains why many of its tutorials and examples use humorous references. https://www.dinocajic.com/python-p1-getting-started-with-python-and-docker-compose/ Python is designed to be easy to learn and read, with a syntax that emphasizes readability and reduces the cost of program maintenance. Its simple and elegant syntax has made it popular among beginners,