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DuckDB: Hi-performance SQL queries on pandas dataframe (Python)

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DuckDB calls itself the "SQLite for Analytics" and is built to facilitate fast analytical query workload directly within the host process (for data scientists, read: R or Python). The DuckDB creator himself cites ease-of-use as a major factor in designing DuckDB as a database management system (DBMS) that data scientists don't hate to use.
Timestamps:
00:00 What is DuckDB? (Intro, Why DuckDB? Overview)
03:00 Mental Models: How database interface with applications
13:37 DuckDB intro / quick tour to DuckDB shell
28:42 DuckDB python package (usage w/ pandas)
36:02 Multiline SQL query on a pandas dataframe!
42:19 Tools for working with DuckDB
Other tutorials mentioned in the video:
1. Convert CSV in SQLite in less than 5 lines of code:
2. Hands on introduction to SQL
3. Running SQLite in VSCode:
4. Building Dashboards with PyScript + Altair (⌚ -🏃 | Part 1) using running data from Mi Band / MiFit fitness band
Timestamps:
00:00 What is DuckDB? (Intro, Why DuckDB? Overview)
03:00 Mental Models: How database interface with applications
13:37 DuckDB intro / quick tour to DuckDB shell
28:42 DuckDB python package (usage w/ pandas)
36:02 Multiline SQL query on a pandas dataframe!
42:19 Tools for working with DuckDB
Other tutorials mentioned in the video:
1. Convert CSV in SQLite in less than 5 lines of code:
2. Hands on introduction to SQL
3. Running SQLite in VSCode:
4. Building Dashboards with PyScript + Altair (⌚ -🏃 | Part 1) using running data from Mi Band / MiFit fitness band
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