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

Dr. Argenis Leon

Luis Aguirre Contreras

₹3276.99

4.8 (4 Ratings)

Paperback Sep 2021 300 pages 1st Edition

Dr. Argenis Leon

Luis Aguirre Contreras

₹3276.99

4.8 (4 Ratings)

Paperback Sep 2021 300 pages 1st Edition

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Key benefits

Load, merge, and save small and big data efficiently with Optimus
Learn Optimus functions for data analytics, feature engineering, machine learning, cross-validation, and NLP
Discover how Optimus improves other data frame technologies and helps you speed up your data processing tasks

Description

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.

Who is this book for?

This book is for Python developers who want to explore, transform, and prepare big data for machine learning, analytics, and reporting using Optimus, a unified API to work with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and Spark. Although not necessary, beginner-level knowledge of Python will be helpful. Basic knowledge of the CLI is required to install Optimus and its requirements. For using GPU technologies, you'll need an NVIDIA graphics card compatible with NVIDIA's RAPIDS library, which is compatible with Windows 10 and Linux.

What you will learn

Use over 100 data processing functions over columns and other string-like values
Reshape and pivot data to get the output in the required format
Find out how to plot histograms, frequency charts, scatter plots, box plots, and more
Connect Optimus with popular Python visualization libraries such as Plotly and Altair
Apply string clustering techniques to normalize strings
Discover functions to explore, fix, and remove poor quality data
Use advanced techniques to remove outliers from your data
Add engines and custom functions to clean, process, and merge data

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

Manuel Perche Sep 04, 2021

As an enthusiast of Python and big data I found this book very useful. It explains everything in detail and provides the necessary context for developers just starting to learn, Optimus provides all the tools and simplifies what you need to handle data processing.

Amazon Verified review

Javier Sep 08, 2021

Currently I work on a major tech company in Latin America and I can say that this book is a very valuable asset since it greatly speeds up the process of working with all kinds of datasets as well as processing units like CPU, GPU and so fort.The data wrangling section teaches you everything you need to know regarding the possible data transformation using different functions all trough the advanced features of optimus, it is highly accessible singe it lets you hack with it in order to implement your own engines if necessary.Definitely a great choice in the Data Science field.

Maria Rubio Sep 26, 2021

This book is incredibly valuable for those learning Python and Pandas and looking to improve their workflow. Optimus makes data processing better, and this detailed guide helped me achieve just that.

srija Oct 13, 2021

This book is excellent to expertise in pandas and their applications. Also, it is a detailed guide for learning Optimus, a great tool that simplifies the tedious data processing tasks.

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

What do you get with Print?