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Minimalist Data Wrangling with Python by Marek Gagolewski is a nonfiction available to read on EtoBox.

What is Minimalist Data Wrangling with Python about?

Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning data gathered from different sources, transforming, selecting, and extracting features, performing exploratory data analysis and dimensionality reduction, identifying naturally occurring data clusters, modelling patterns in data, comparing data between groups, and reporting the results. Data Science aims at making sense of and generating predictions from data that have been collected in copious quantities from various sources, such as physical sensors, surveys, online forms, access logs, and (pseudo)random number generators, to name a few. They can take diverse forms, e.g., be given as vectors, matrices, or other tensors, graphs/networks, audio/video streams, or text. Data usually do not come in a tidy and tamed form. Data wrangling is the very broad process of appropriately curating raw information chunks and then exploring the underlying data structure so that they become analysable. This course is envisaged as a student’s first exposure to data science, providing a high-

Who reads Minimalist Data Wrangling with Python?

Author

Marek Gagolewski

Publisher

Independently Published

Published

2024

Language

EN

ISBN

9780645571912

Category

nonfiction

Subjects

Computer Science, Programming, Stem