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Data Processing with Optimus

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Data Processing with Optimus Dr. Argenis Leon, Luis Aguirre - okładka książki

Data Processing with Optimus Dr. Argenis Leon, Luis Aguirre - okładka książki

Data Processing with Optimus Dr. Argenis Leon, Luis Aguirre - okładka audiobooka MP3

Data Processing with Optimus Dr. Argenis Leon, Luis Aguirre - okładka audiobooks CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
300
Dostępne formaty:
     PDF
     ePub
     Mobi

Ebook

129,00 zł

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Optimus is a Python library that works as a unified API for data cleaning, processing, and merging data. It can be used for handling small and big data on your local laptop or on remote clusters using CPUs or GPUs.

The book begins by covering the internals of Optimus and how it works in tandem with the existing technologies to serve your data processing needs. You'll then learn how to use Optimus for loading and saving data from text data formats such as CSV and JSON files, exploring binary files such as Excel, and for columnar data processing with Parquet, Avro, and OCR. Next, you'll get to grips with the profiler and its data types - a unique feature of Optimus Dataframe that assists with data quality. You'll see how to use the plots available in Optimus such as histogram, frequency charts, and scatter and box plots, and understand how Optimus lets you connect to libraries such as Plotly and Altair. You'll also delve into advanced applications such as feature engineering, machine learning, cross-validation, and natural language processing functions and explore the advancements in Optimus. Finally, you'll learn how to create data cleaning and transformation functions and add a hypothetical new data processing engine with Optimus.

By the end of this book, you'll be able to improve your data science workflow with Optimus easily.

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0 Dr. Argenis Leon, Luis Aguirre

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