Explore blazing fast analytics with Ibis in this comprehensive tutorial presented at PyCon US. Learn how to leverage DuckDB, Polars, Snowflake, and other powerful tools directly from your Python REPL. Discover the advantages of using Ibis as a common dataframe interface for various popular databases and analytics tools, allowing you to write code once and run it on any supported backend. Master basic Ibis operations such as select, filter, group_by, order_by, join, and aggregate, and learn how to compose them for complex queries. Gain insights into choosing the best database engine for your specific needs and understand the tradeoffs between different systems. Explore Ibis' integration with the broader Python data ecosystem, including Scikit-Learn, Matplotlib, PyArrow, pandas, Altair, and VegaFusion. Through hands-on examples, develop practical skills to analyze tabular data more efficiently and at scale, without the need to learn SQL. Ideal for Python and pandas users looking to enhance their data analysis capabilities and overcome performance limitations.
Overview
Syllabus
Tutorials - Gil, Jim, Naty, Phillip: Introduction to Ibis: blazing fast analytics with DuckDB...
Taught by
PyCon US