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240503 ||| eng |
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|a QA76.9.D343
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1 |
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|a Rioux, Jonathan
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|a Data analysis with Python and Pyspark
|c Jonathan Rioux
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260 |
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|a Shelter Island, NY
|b Manning Publications
|c 2023
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300 |
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|a 1 audio file
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653 |
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|a Bases de données / Gestion
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653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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653 |
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|a Database management / http://id.loc.gov/authorities/subjects/sh85035848
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653 |
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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653 |
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|a Python (Langage de programmation)
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653 |
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|a Exploration de données (Informatique)
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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4 |
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|u https://learning.oreilly.com/library/view/~/9781617297205AU/?ar
|x Verlag
|3 Volltext
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|a 658
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|a 006.3/12
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|a Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source--whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code
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