September 2024
Beginner to intermediate
456 pages
11h 53m
English
Content preview from Python Data Cleaning and Preparation Best Practices
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Part 1: Upstream Data Ingestion and Cleaning
This part focuses on the foundational stages of data processing, starting from data ingestion to ensuring its quality and structure for downstream tasks. It guides readers through the essential steps of importing, cleaning, and transforming data, which lay the groundwork for effective data analysis. The chapters explore various methods for ingesting data, maintaining high-quality datasets, profiling data for better insights, and cleaning messy data to make it ready for analysis. Further, it covers advanced techniques like merging, concatenating, grouping, and filtering data, along with choosing appropriate data destinations or sinks to optimize processing pipelines. Each chapter in this part equips ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.