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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust

(ebook) (audiobook) (audiobook) Książka w języku angielskim
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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust Luca Zanna, Alexander Beedie, Jung Hoon Son - okladka książki

Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust Luca Zanna, Alexander Beedie, Jung Hoon Son - okladka książki

Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust Luca Zanna, Alexander Beedie, Jung Hoon Son - audiobook MP3

Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust Luca Zanna, Alexander Beedie, Jung Hoon Son - audiobook CD

Serie wydawnicze:
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Bądź pierwszym, który oceni tę książkę
Discover the power of Polars, the lightning-fast DataFrame library, for fast data manipulation and analysis. This comprehensive guide provides you with in-depth insights into Polars: its interface, how Polars works behind the scenes, and how to use it in practical applications.
You'll start with the fundamentals of Polars, such as reading and writing files and databases, and transforming data. Next, you’ll progress to advanced topics such as window functions, time-series analysis, text transformations, processing larger-than-memory datasets, and testing data pipelines. You'll also learn how to leverage SQL with Polars. The second section of the book guides you through five case studies step by step, allowing you to apply your learning to business problems. Through the real-life case studies, you'll find out how to perform financial and marketing analyses, such as price-volume-mix analysis, market basket analysis, customer segmentation, product recommendations, and text analysis.
By the end of this book, you'll have gained the knowledge and skills you need to advance your Python data analysis skills using Polars and take your career to the next level.

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O autorach książki

Luca Zanna is a Data Engineer and Data Analyst with over 15 years of experience. He started his career as financial data analyst after a Master in Management and passing the Certified Public Accountant (CPA) exam. Luca spent a decade working on financial analysis systems at L'Oréal: developing the systems and training financial analysts across Europe and Asia.

Currently, Luca helps companies with building data infrastructure to better leverage their data. Luca is also a corporate teacher for topics such as data analysis, SQL, Python, and cloud data engineering.
Alexander Beedie has been a software engineer working on some of the most complex trading and risk management platforms in investment banking technology for nearly 20 years, and wrote one of the world's first production DataFrame libraries back in 2008 for use in JPMorgan's Athena platform. Specialising in the development of novel high-performance data APIs, he currently works at the Abu Dhabi Investment Authority as a Quantitative Research & Development Lead and is also one of the Core developers of Polars. He holds a Master's degree in Computer Science and a Bachelor's degree in Astrophysics, both from University College London (UCL).
Jung Hoon Son, M.D. is a physician biomedical informaticist and data scientist dedicated to leveraging data-powered insights to advance healthcare. As a Knowledge and Solutions Architect at a leading neuroscience-focused biopharma company, he applies his medical expertise, data engineering, data visualization, and analytics skills to drive drug discovery and development. Dr. Son has authored scientific publications in the fields of genomics, informatics, nephrology, pathology, and ophthalmology. He has presented at numerous conferences and holds patents for machine learning applications in healthcare. Dr. Son received his undergraduate degree from Cornell University in chemistry and psychology before earning his medical degree from UMDNJ-New Jersey Medical School. He then completed his pathology residency program and biomedical informatics postdoctoral fellowship at Columbia University.

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