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Effective Polars: Optimized Data Manipulation for Polars 1.0

by Matt Harrison (Author), Anique Khawar (Editor), Thomas M Ahern (Editor)
3.0 3.0 out of 5 stars 1 rating
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Updated for Polars 1.0

Dive into the world of data manipulation and analysis with "Effective Polars" your comprehensive roadmap to unlocking the full potential of the Polars library in Python. Whether you're a seasoned data scientist, a budding analyst, or somewhere in between, this book is designed to elevate your data handling skills from the ground up.

Why Polars?

Polars stands at the forefront of data analysis libraries, known for its blazing-fast performance and efficiency. With its unique approach to handling large datasets through lazy evaluation and expressive syntax, Polars empowers users to perform complex data manipulations and analyses with unparalleled ease and speed.

What's Inside?
  • Getting Started with Polars: Kick off your journey with an introduction to Polars, including how to install it and navigate its core data structures. Discover the principles of lazy computation and how it can revolutionize your data analysis workflow.
  • Data Manipulation Techniques: Through the lens of the Fuel Economy dataset, explore a treasure trove of data manipulation tactics. Learn to add, remove, and rename columns, perform various joins, and optimize your data frames for efficiency and clarity.
  • String Manipulation and Beyond: Unravel the art of string manipulation using real-world Twitter data. Extract valuable insights, handle emojis, and learn powerful techniques for text analysis.
  • Aggregation Mastery: Master the art of aggregation to summarize and analyze datasets efficiently. From basic aggregations to complex group-by operations and pivoting, this section equips you with the skills to derive meaningful insights from your data.
  • Advanced Filtering and Selection: Delve deeper into advanced filtering techniques. Learn how to refine your datasets using expressions, keywords, and conditional logic to focus on the data that matters most.
  • Time Series Analysis: Navigate the intricacies of time series data with ease. From basic date handling to complex time aggregations and window functions, unlock the potential of temporal data analysis.
  • Efficient Data Import and Export: Become proficient in moving data in and out of Polars. This book covers various formats, whether it's CSV, JSON, Excel, or SQL, preparing you for any data-handling task.
  • Lazy Evaluation and Streaming: Discover the power of lazy evaluation and streaming data. Learn techniques to process data efficiently in chunks, reducing memory usage and speeding up your analysis.
  • Porting from Pandas: For those familiar with Pandas, this section provides valuable insights into transitioning your workflows to Polars, leveraging its performance benefits without sacrificing functionality.

Why This Book?
Effective Pandas is not just a manual; it's a mentor. With a mix of theoretical explanations, practical examples, and exercises, it's designed to provide a hands-on learning experience. Whether you're analyzing financial markets, optimizing logistics, or exploring social media data, this book has something for you.

Transform Your Data Analysis Skills
Step into the future of data analysis with Polars. Whether you're looking to speed up your data processing, handle massive datasets, or simply learn a new and efficient tool for data science, Effective Polars is your key to unlocking new possibilities.

Unlock the power of your data with Polars. Get your copy today and transform your data analysis projects into success stories!
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  1. ISBN-13
    979-8332426452
  2. Publication date
    July 6, 2024
  3. Language
    English
  4. Dimensions
    6 x 0.84 x 9 inches
  5. Print length
    373 pages
  6. See all details
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Product details

  • ASIN ‏ : ‎ B0D911QH19
  • Publisher ‏ : ‎ Independently published (July 6, 2024)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 373 pages
  • ISBN-13 ‏ : ‎ 979-8332426452
  • Item Weight ‏ : ‎ 1.4 pounds
  • Dimensions ‏ : ‎ 6 x 0.84 x 9 inches
  • Customer Reviews:
    3.0 3.0 out of 5 stars 1 rating

About the author

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Matt Harrison

Matt Harrison

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Matt Harrison runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage.

He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences. The structure and content of his books are based on first-hand experience teaching Python to many individuals.

He blogs at ``hairysun.com`` and occasionally tweets useful Python related information at ``@__mharrison__``.

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Top reviews from the United States

  • Matthew Ray
    3.0 out of 5 stars Good for beginners
    Reviewed in the United States on October 18, 2024
    Verified Purchase
    It’s probably my fault getting caught by the title thinking this was going to help me write “more effective” polars. If you have only ever used Pandas and hate reading documentation but want to use Polars - this is a great book. If you can read the documentation and the user guide that polars provides then you’ll get a very similar experience.

    You could rename this book: “Polars documentation: extra examples - but with color”
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