Data Processing With Optimus Supercharge Big Data Preparation Tasks For Analytic

Written By The Core Optimus Team, This Comprehensive Guide Will Help You To Understand How Optimus Improves The Whole Data Processing Landscapenbsp;key Features:load, Merge, And Save Small And Big Data Efficiently With Optimuslearn Optimus Functions For Data Analytics, Feature Engineering, Machine Learning, Cross-validation, And Nlpdiscover How Optimus Improves Other Data Frame Technologies And Helps You Speed Up Your Data Processing Tasksbook Description:optimus Is A Python Library That Works As A Unified Api For Data Cleaning, Processing, And Merging Data. It Can Be 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. Youll 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.