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icon:: 📖 purchased:: Nov 17th, 2023 start:: Nov 17th, 2023 end:: Nov 17th, 2023 published:: length:: author:: @Wes McKinney cover:: reading-time:: score:: - https://wesmckinney.com/book/ - Highlights - While readers may have many different end goals for their work, the tasks required generally fall into a number of different broad groups: collapsed:: true - Interacting with the outside world Reading and writing with a variety of file formats and data stores - Preparation Cleaning, munging, combining, normalizing, reshaping, slicing and dicing, and transforming data for analysis - Transformation Applying mathematical and statistical operations to groups of datasets to derive new datasets (e.g., aggregating a large table by group variables) - Modeling and computation Connecting your data to statistical models, machine learning algorithms, or other computational tools - Presentation Creating interactive or static graphical visualizations or textual summaries - ==Arrays are important because they enable you to express batch operations on data== without writing any `for` loops. - This practice of replacing explicit loops with array expressions is referred to by some people as *vectorization*. -