Learning Python data analysis /

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Bibliographic Details
Author / Creator:Hoff, Ben, speaker.
Imprint:[Place of publication not identified] : Packt, [2017]
Description:1 online resource (1 streaming video file (5 hr., 55 min., 42 sec.))
Language:English
Subject:
Format: E-Resource Video
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13659635
Hidden Bibliographic Details
Digital file characteristics:data file
Notes:Title from title screen (viewed July 11, 2018).
Date of publication from resource description page.
Presenter, Ben Hoff.
Summary:"Python features numerous numerical and mathematical toolkits such as: Numpy, Scipy, Scikit learn and SciKit, all used for data analysis and machine learning. With the aid of all of these, Python has become the language of choice for data scientists for data analysis, visualization, and machine learning. This video aims to teach Python developers how to perform data analysis with the language by taking advantage of the core data science libraries in the Python ecosystem. The learning objective for viewers is to understand how to locate, manipulate, and analyze data with Python, with the ability to analyze large and small sets of data using libraries such as Numpy, pandas, IPython and SciPy. This is a two part series. The first series is focused on getting and manipulation sizeable amounts of data using modern techniques. The second series is focused on advanced analysis of the data to include modern machine learning techniques."--Resource description page
Other form:1-78588-071-3

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