{"product_id":"data-processing-with-optimus-supercharge-big-data-preparation-tasks-for-analytics-and-machine-learning-with-optimus-using-dask-and-pyspark-paperback","title":"Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eArgenis Leon\u003c\/b\u003e (Author), \u003cb\u003eLuis Aguirre\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWritten by the core Optimus team, this comprehensive guide will help you to understand how Optimus improves the whole data processing landscape \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLoad, merge, and save small and big data efficiently with Optimus\u003c\/li\u003e\n\u003cli\u003eLearn Optimus functions for data analytics, feature engineering, machine learning, cross-validation, and NLP\u003c\/li\u003e\n\u003cli\u003eDiscover how Optimus improves other data frame technologies and helps you speed up your data processing tasks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eOptimus 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to improve your data science workflow with Optimus easily.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUse over 100 data processing functions over columns and other string-like values\u003c\/li\u003e\n\u003cli\u003eReshape and pivot data to get the output in the required format\u003c\/li\u003e\n\u003cli\u003eFind out how to plot histograms, frequency charts, scatter plots, box plots, and more\u003c\/li\u003e\n\u003cli\u003eConnect Optimus with popular Python visualization libraries such as Plotly and Altair\u003c\/li\u003e\n\u003cli\u003eApply string clustering techniques to normalize strings\u003c\/li\u003e\n\u003cli\u003eDiscover functions to explore, fix, and remove poor quality data\u003c\/li\u003e\n\u003cli\u003eUse advanced techniques to remove outliers from your data\u003c\/li\u003e\n\u003cli\u003eAdd engines and custom functions to clean, process, and merge data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 300\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.63 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 03, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53042232131891,"sku":"9781801079563","price":73.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/hmNq5PtxXi9781801079563.webp?v=1770836477","url":"https:\/\/www.vysn.com\/en-ca\/products\/data-processing-with-optimus-supercharge-big-data-preparation-tasks-for-analytics-and-machine-learning-with-optimus-using-dask-and-pyspark-paperback","provider":"VYSN","version":"1.0","type":"link"}