Python Data Cleaning for Web Scrapers: Clean, Deduplicate, Validate and Store Scraped Data with Pandas, SQLite, PostgreSQL and MongoDB (The Complete Web & Data Scraping Mastery Series Book 8)
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Python Data Cleaning for Web Scrapers: Clean, Deduplicate, Validate and Store Scraped Data with Pandas, SQLite, PostgreSQL and MongoDB (The Complete Web & Data Scraping Mastery Series Book 8)

by Muhammad Sohail

Programming technical Data Science
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A focused guide to cleaning and managing data collected by web scrapers. Explore deduplication and validation with Python and Pandas, then examine storage options using SQLite, PostgreSQL, and MongoDB. This volume in The Complete Web & Data Scraping Mastery Series addresses essential steps between scraping and usable data.

About This Book

Python Data Cleaning for Web Scrapers focuses on preparing data gathered through web scraping for reliable use.

The book covers cleaning, deduplication, and validation with Python and Pandas.

It also addresses storing scraped data with SQLite, PostgreSQL, and MongoDB.

Part of The Complete Web & Data Scraping Mastery Series, this volume centers on data quality and storage workflows.

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I will be using this book for: