Book Image

Data Processing with Optimus

By : Dr. Argenis Leon, Luis Aguirre
Book Image

Data Processing with Optimus

By: Dr. Argenis Leon, Luis Aguirre

Overview of this book

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.
Table of Contents (16 chapters)
1
Section 1: Getting Started with Optimus
4
Section 2: Optimus – Transform and Rollout
10
Section 3: Advanced Features of Optimus

Removing unwanted strings

To perform NLP, we need to ensure the data doesn't have any special characters, diacritics, HTML tags, or any other content that may make it difficult for the algorithms to work properly.

To see what Optimus can do for you, let's load a dataframe with text to help us demonstrate Optimus' features:

df = op.load.csv("text.csv", sep=";")

That will load a text we specially prepared from Wikipedia. Let's see its content:

text
(object)
"<a>http://google.com</a> <span>Transformers is an American and Japanese media franchise produced by the American toy company Hasbro and Japanese toy company Takara Tomy. It follows the battles of sentient, living autonomous robots, often the Autobots and the Decepticons, who can transform into other forms, such as vehicles and animals. The franchise encompasses toys, animation, comic books,
... 

Now that we know the data, let's start transforming it...