Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,... | | Daniel Arbuckle's Mastering Python
Key Features
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Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
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Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
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Get introduced to the mechanism for rewriting code in a
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