DevOps Classroom notes 16/Oct/2025

Lets build an inventory

• We will have product(S)
• We will have quantities
• We will be selling and procuring
• Refer Here for some experiments done with inventory
• Topics covered
  • dataclass
  • package: A python package is a folder with __init__.py in it. Package name will be folder name. A package can have subpackages
  • PYPI:

Building a python project

Approach 1:

• create a new folder
• Create a virtual environment

python -m venv .venv

• Activate the virtual environment

# windows
.venv/Scripts/activate

# mac or linux

source .venv/bin/activate

• Add necessary packages

pip install boto3

• Create requirements.txt

pip freeze > requirements.txt

• To install from requirements.txt

pip install -r requirements.txt

Aproach 2

• using uv
• install uv

#windows
winget install --id=astral-sh.uv  -e
# mac
brew install uv
# linux
wget -qO- https://astral.sh/uv/install.sh | sh

• create a new directory warehouse and cd into it
• To build a simple application

uv init .

• To build a package

uv init --package .

• Run uv sync and then activate virtual environment
• Adding packages can be done

uv pip install .....
uv add .....

• Refer Here for the warehouse first set changes
• we need to test the code which we have written so far, so lets add a popular unit testing framework in python pytest

uv add --dev pytest