Python Architecture

Recently, I’ve developed a Python data science project architecture and workflow that works well for me, and I’d like to share how it works.

In the src/ folder of the directory shown below, there is a Python console app. The architecture is simple and compact, as you can see.

As for the workflow, it can be run with a shell script.

The shell script executes python -m src.main "path/to/your/data.csv".

Then, the Python program does the following sequentially:
1️⃣ Preprocesses the CSV file.
2️⃣ Utilizes terminal UI that gets user input.
3️⃣ Evaluates user input against the dataset.
4️⃣ Visualizes data based on the evaluation.
5️⃣ Displays a chart based on the visualization.

Each step in the data analysis process is contained in Python modules rather than all the code for the app being in the main Python file.

Please feel free to use this project as a template or let me know what you think.

📊 View the type of chart produced here.
🧑‍💻 Check out the full project structure here.

P.S., Below is a closer look at the Python architecture: