Financial Data Analysis · Part 1
1. API Programming with Python
Everything to get you started with creating programs using Financial APIs in Python.
SC
Samuel Chan
12 min read
Supertype Notes
Financial Data Analysis
Working with market data, financial APIs, and the tooling that tames them in Python.
2 articles in this topic
Financial Data Analysis
Financial Data Analysis · Part 2
2. Transforming deeply nested JSON from APIs into Pandas DataFrame
The `json_normalize` function and the `explode` method in Pandas can be used to transform deeply nested JSON data from APIs into a Pandas DataFrame.
SC
Samuel Chan
2 min read
Sectors research
Going deep on Financial Data Analysis? We wrote the book.
We packed the full picture into this report by Evelyn Ong, with the numbers, charts, and context laid out end to end.
Learn it live with our engineers
Agentic AI Patterns: Code-Along Classroom
A 4-hour, in-person code-along classroom in Singapore on building robust, enterprise-grade Agentic AI applications with established patterns and practical implementation blueprints.
November 4, 2026Waterloo Centre
Save your seatSeats from Rp2.600.000 (about $145)
Related topics
Data Engineering
Pipelines, orchestration, and the plumbing that moves data reliably at scale.
Data Science in Industry
Field reports on applying machine learning to messy, high-stakes real-world problems.
Docker & Containers
Practical container workflows for shipping data and AI services with confidence.
Streaming Data
Real-time architectures with Kafka, Spark, and the open source streaming stack.
Keep reading
This is one slice of the catalogue. Browse every topic on the notes index, or subscribe and we will send the next piece your way.
All Supertype Notes
The latest in AI and Enterprise Analytics