SKU/Artículo: AMZ-B0FPCD3MR6
Pandas and SQL for Data Science: Build Efficient Workflows with Python and Databases
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.45 kg
0.45 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- In today’s data-driven world, professionals are expected to move seamlessly between databases and in-memory analysis. SQL remains the foundation for querying and aggregating large datasets directly at the source, while Pandas has become the go-to Python library for flexible, in-memory data exploration and transformation. Used together, they unlock workflows that are efficient, scalable, and perfectly suited for modern data science projects.Pandas and SQL for Data Science: Build Efficient Workflows with Python and Databases is your practical guide to mastering this synergy. Through step-by-step explanations, runnable code, and real-world case studies, this book shows you not just how to use SQL and Pandas, but when and why to use each tool for maximum effectiveness.Inside, you will learn how to:Set up a reliable Python and SQL environment for data analysis.Connect Pandas to relational databases using SQLAlchemy and read_sql().Write efficient SQL queries with SELECT, WHERE, JOIN, and GROUP BY to filter, aggregate, and combine data.Decide which tasks belong in SQL and which should be handled in Pandas.Apply best practices like method chaining and vectorization for clean, efficient Pandas code.Ingest data from multiple sources—databases, CSVs, Excel, JSON, and Parquet—and unify it in Pandas.Merge SQL data with flat files or APIs to build complete, real-world datasets.Work through practical case studies, such as analyzing customer transactions and identifying top spenders.By framing Pandas and SQL within the data science workflow—from acquisition to cleaning, exploration, feature engineering, and reporting—this book equips you with the mindset and skills to build pipelines that are professional, reproducible, and ready for deployment.
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AR$76.019
49% OFF
AR$38.980
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