Argenis Leon, Luis Aguirre

Data Processing with Optimus (eBook, ePUB)

Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 300
• Erscheinungstermin: 3. September 2021
• Englisch
• ISBN-13: 9781801077750
• Artikelnr.: 70295674

Autorenporträt

In 2015, Argenis Leon created Optimus an open-source python library built over pyspark aimed to provide an easy-to-use API to clean, process, and merge data at scale. Since 2012, Argenis has been working on big data-related projects using Postgres, MongoDB, Elasticsearch for social media data collection and analytics. In 2015, he started working with pyspark pre-version 1.0 for retail projects doing market basket analysis for National brands in Venezuela. In 2017 he co-founded Iron AI- a digital marketing agency focused on using AI to get customer insight and create unique working in AdTech and Real Estate projects in Mexico. In 2019 he created Bumblebee, a low-code open-source web platform to clean and wrangle big data using CPU/GPUs.