Polars Cookbook: Over 60 practical recipes to transform, manipulate, and analyze

Description: Polars Cookbook by Yuki Kakegawa, Marco Gorelli Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Leverage a lightning fast DataFrame library for efficient data wrangling in PythonKey FeaturesUnlock the power of Python Polars for faster and more efficient data analysis workflowsMaster the fundamentals of Python Polars with step-by-step recipesDiscover data manipulation techniques to apply across multiple data problemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPolars Cookbook is a complete guide that not only helps you get started with Python Polars but also gives you effective solutions to your day-to-day data problems. Dive into the world of Polars, a high-performance DataFrame library designed for efficient data processing and analysis. This cookbook takes a practical approach to unlocking the full potential of Polars through detailed, step-by-step recipes.Starting with installation and basic operations, this book guides you through data manipulation, advanced querying, and performance optimization techniques. Youll learn how to handle large datasets, perform complex transformations, and leverage Polars powerful features for data science tasks. As you progress, youll explore Polars integration with other tools and libraries, and discover how to deploy Polars in both onpremises and cloud environments. Youll also explore use cases for data engineering, time series analysis, statistical analysis, and machine learning, providing essential strategies for securing and optimizing your Polars workflows.By the end of this book, youll have acquired the knowledge and skills to build scalable, efficient, and reliable data processing solutions using Polars.What you will learnRead from different data sources and write to various files and databasesApply aggregations, window functions, and string manipulationsPerform common data tasks such as handling missing values and performing list and array operationsDiscover how to reshape and tidy your data by pivoting, joining, and concatenatingAnalyze your time series data in Python PolarsCreate better workflows with testing and debuggingWho this book is forThis book is for data analysts, data scientists, and data engineers who want to learn how to use Polars in their workflows. Working knowledge of the Python programming language is required. Experience working with a DataFrame library such as pandas or PySpark will also be helpful. Author Biography Yuki Kakegawa is a data analytics professional with a background in computer science. Yuki has worked in the data space for the past several years, most of which has been spent in consulting, focusing on data engineering, analytics, and business intelligence. His clients are from various industries, such as healthcare, education, insurance, and private equity. He has worked with various companies, including Microsoft and Stanford Health Care, to name a couple. He also runs Orem Data, a data analytics consultancy that helps companies improve their existing data and analytics infrastructure. Aside from work, Yuki enjoys playing baseball and softball with his wife and friends. Details ISBN 1805121154 ISBN-13 9781805121152 Title Polars Cookbook Author Yuki Kakegawa, Marco Gorelli Format Paperback Year 2024 Pages 394 Publisher Packt Publishing Limited GE_Item_ID:161194496; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-11-29T03:11:25.000Z

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