SQLite from Python
You need a place to park scraped rows, experiment IDs, or homework grades without provisioning a server—so you get SQLite, a full relational engine in a single file on disk. Python's sqlite3 module follows DB-API: connect, cursor, execute, and—easy to forget—commit() before you close, or your inserts vanish like they never happened.
The security subplot is short but critical: never build SQL with f-strings from user input; ? placeholders keep data separate from code so injection and quoting bugs do not become your plot twist. SQLite is forgiving about types compared to PostgreSQL, which helps prototypes move fast but also means discipline in CREATE TABLE still pays off when you reread the schema six months later.
Typical upstreams include scraped tables (HTML pages as messy data sources) and API payloads (requests, JSON APIs, and robust fetching). Tutorial: [1].
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- Topic: Data Science Praktikum
- Difficulty: Beginner
- Completed: 1 users