RubyConf 2023 - Get your Data prod ready, Fast, with Ruby Polars! by Paul Reece

Learn how to get your data production-ready fast with Ruby Polars, a powerful library for data frames, and discover how to handle missing values, filter, and join data frames, and more.

Key takeaways

Pollers is a powerful Ruby library for working with data frames, allowing for efficient data cleaning and transformation.
Ruby is a great language for data science and analysis, offering many benefits such as ease of use, flexibility, and performance.
When working with data frames in Ruby, it’s essential to deal with missing values, as they can cause issues in the analysis and modeling process.
Pollers provides various methods for handling missing values, including drop_nulls, drop_flags, and fill_null.
The get_column and select_column methods can be used to extract specific columns from a data frame.
Data frames can be converted to other data structures, such as Ruby hashes or arrays, using methods like to_h and to_a.
Series are a key concept in Pollers, representing a one-dimensional data structure that can be used to represent a column of data.
Data frames can be filtered using methods like filter and drop_nulls, which allow for more efficient data manipulation.
Joining data frames can be achieved using methods like join and concat, which support various join strategies, such as inner, outer, and left joins.
Pollers offers many visualization tools, including plots, bar charts, and histograms, which can be used to analyze and visualize data.
Ruby is a great language for working with data, offering many benefits such as ease of use, flexibility, and performance.

RubyConf 2023 - Get your Data prod ready, Fast, with Ruby Polars! by Paul Reece

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