A short guide to organizing FastAPI apps beyond a single main.py file. FastAPI makes it easy to start with a single main.py file. That is great for demos, prototypes, and small APIs. But once your application grows, one file can quickly turn into a mix of routes, database logic, security helpers, settings, and business rules. A clear project structure helps keep the app easier to understand, test,
What is FastAPI? As the name suggests, FastAPI is a modern Python framework designed for building RESTful APIs with high performance and minimal boilerplate. In 2026, it has become the industry standard because it’s exceptionally fast, reliable, and includes powerful out of the box features — such as automatic interactive documentation and native support for asynchronous programming. These comma
The DataFrame class (from Pandas) is a work of art. Even if you never "do data", priceless lessons can be gleaned by studying this class. It starts simple enough. Usually you will create a DataFrame by ingesting from a CSV file or database table or something. But you can whip up a small one like this: import pandas as pd df = pd.DataFrame({ 'A': [-137, 22, -3, 4, 5], 'B': [10, 11,
When we talk about Data Visualization and Dashboards, enterprise tools like Tableau or PowerBI often dominate the conversation. However, for Data Scientists and Developers, these GUI-based tools can feel restrictive. What if you need complex machine learning integration, custom UI logic, or automated CI/CD deployments? Enter the holy trinity of Python visualization tools: Streamlit, Dash, and Boke
[05] When to Pull the Trigger on FIRE — Monte Carlo Says You're Already Free This is Part 5 of a 6-part series: Building Investment Systems with Python "You need 25x your annual expenses." That's the standard FIRE rule. For ¥9.6M annual expenses, that's ¥240M. Most people see that number and think: "I'll never get there." But the 25x rule assumes a fixed 4% withdrawal rate, zero income, zero ada