MISSION 166
Augmenting Pandas With SQLite
Learn the pandas SQLite workflow to combine the best of both tools.
Objectives
Mission Outline
1. Augmenting Pandas With SQLite
2. Pandas Types vs. SQLite Types
3. Setting Appropriate Types
4. Computing Primarily in SQL
5. Computing Primarily in Pandas
6. Reading in SQL Results Using Chunks
7. Next Steps
8. Takeaways
Course Info:
Processing Large Datasets In Pandas
Intermediate
The average completion time for this course is 10-hours.
This course requires a premium subscription and includes 2 free missions, 2 paid missions, and 1 guided project. It is the 3rd course in the Data Engineer path.
