SKU/Artículo: AMZ-B0FPBG8CCJ

Pandas and SQL for Data Science: Build Efficient Workflows with Python and Databases

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Fuera de stock

Peso con empaque:
0.36 kg

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No

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Nuevo

Producto de:
Amazon

Sobre este producto

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.

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Pandas and SQL for Data Science: Build Efficient Workflows with Python and Databases

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Pandas and SQL for Data Science: Build Efficient Workflows with Python and Databases

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Otros Productos

Panda (Panda) 6501 Cassette Player, Walkman, Portable Player, Tape Recorder, Single-Play Old-Style Player, Nostalgic Retro Small Radio, Tape Recorder, Phonograph

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