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Data Processing with Optimus

You're reading from Data Processing with Optimus Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781801079563

Length 300 pages

Edition 1st Edition

Languages

Processing

Tools

Apache Spark

Concepts

Big Data

Authors (2):

Dr. Argenis Leon

Luis Aguirre Contreras

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: Getting Started with Optimus

2. Chapter 1: Hi Optimus! FREE CHAPTER

3. Chapter 2: Data Loading, Saving, and File Formats

4. Section 2: Optimus – Transform and Rollout

5. Chapter 3: Data Wrangling

6. Chapter 4: Combining, Reshaping, and Aggregating Data

7. Chapter 5: Data Visualization and Profiling

8. Chapter 6: String Clustering

9. Chapter 7: Feature Engineering

10. Section 3: Advanced Features of Optimus

11. Chapter 8: Machine Learning

12. Chapter 9: Natural Language Processing

13. Chapter 10: Hacking Optimus

14. Chapter 11: Optimus as a Web Service

15. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Python Data Cleaning Cookbook

Michael Walker

ISBN: 978-1-80056-566-1

Find out how to read and analyze data from a variety of sources
Produce summaries of the attributes of data frames, columns, and rows
Filter data and select columns of interest that satisfy given criteria
Address messy data issues, including working with dates and missing values
Improve your productivity in Python pandas by using method chaining
Use visualizations to gain additional insights and identify potential data issues

Python Data Analysis – Third Edition

Avinash Navlani, Armando Fandango, Ivan Idris

ISBN: 978-1-78995-524-8

Explore data science and its various process models
Perform data manipulation using NumPy and pandas for aggregating, cleaning, and handling missing values
Create interactive visualizations using Matplotlib...

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Authors (2)

Dr. Argenis Leon

Dr. Argenis Leon

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 on Machine learning projects in Retail, AdTech, and Real Estate in Venezuela and Mexico. In 2019 he created Bumblebee, a low-code open-source web platform to clean and wrangle big data using CPU and GPUs using NVIDIA RAPIDS. Nowadays Argenis is Co-founder and CTO of boitas (backed by YCombinator) a wholesale marketplace for SMB in Latin America.

See other products by Dr. Argenis Leon

Luis Aguirre Contreras

Luis Aguirre Contreras

Luis Aguirre began working with web development projects for Mood Agency in 2018, creating sites for brands from all across Latin America. One year later he started working on Bumblebee, a low-code web platform to transform data that uses Optimus. In mid-2020 he started participating in the Optimus project as a core developer; focusing on creating the easiest-to-use experience for both projects. In 2021 he started working on the Optimus REST API, a tool to allow requests from the web focused on data wrangling.

See other products by Luis Aguirre Contreras

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