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Top 20 Best Data Science Books You Should Read

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Top 20 Best Data Science Books You Should Read

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The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g.,...



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Top 20 Best Data Science Books You Should Read

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Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.

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Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who

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Python Data Science Handbook: Essential Tools for Working with Data ďSeveral resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them allóIPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this

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A Whirlwind Tour of Python for STAT/CS 287 James Bagrow, August 2016 This mini-text serves as introductory reading for my course,Data Science I, held at the Univer-

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Top 20 Best Data Science Books You Should Read

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The book gathers its uniqueness because of capturing every important usage of various Python libraries and packages finding immense use in Data Science, namely IPython, NumPy, Pandas, Matplotlib, Scikit-Learn and other similarly related tools.

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