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Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. Intended for engineers and scientists, it can be used by any who know computer programming.

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. Intended for engineers and scientists, it can be used by any who know computer programming.

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This work includes the first report on the midterm elections of 2002, a new part on national party finances, 12 chapters covering party Web sites, political consultants and state level party activity. It also includes an argument for a more responsible three party system.

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