Book review: 'Python Tools for Scientists'

Python has earned a name as a go-to language for working quickly and conveniently with data, performing data analysis, and getting things done. But because the Python ecosystem is so vast and powerful, many people who are just starting with the language have a hard time sorting through it all. "Do I use NumPy or Pandas for this job?", they ask, or "What's the difference between Plotly and Bokeh?" Sound familiar?

Python Tools for Scientists, by Lee Vaughn (No …

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