Explore Koalas, an open-source Python package implementing the pandas API on Apache Spark, in this 58-minute hands-on tutorial. Learn how to scale pandas to big data environments, enabling a seamless transition from single-machine to distributed computing without learning a new framework. Discover Koalas' latest functionalities, including Apache Spark 3.0 integration, and its potential as a standard API for large-scale data science. Get started with Koalas, compare Pandas and Koalas APIs for DataFrame transformation and feature engineering, and understand the differences between single-machine Pandas and distributed Koalas environments. Dive into topics such as indexing, data visualization, analysis techniques, and machine learning integration using MLflow. Follow along as the tutorial covers everything from basic operations to advanced concepts like time series analysis, outlier detection, and forecasting, providing a comprehensive overview of Koalas' capabilities in the realm of big data analytics. Read more