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Jupyter Notebook for data science

Author: Dražen Lučanin
Publisher: [Place of publication not identified] : Packt, 2018.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"This video course will help you get familiar with Jupyter Notebook and all of its features to perform various data science tasks in Python. Jupyter Notebook is a powerful tool for interactive data exploration and visualization and has become the standard tool among data scientists. In the course, we will start from basic data analysis tasks in Jupyter Notebook and work our way up to learn some common scientific  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Dražen Lučanin
OCLC Number: 1055162401
Notes: Title from title screen (viewed September 25, 2018).
Date of publication from resource description page.
Performer(s): Presenter, Dražen Lučanin.
Description: 1 online resource (1 streaming video file (3 hr., 11 min., 18 sec.)) : digital, sound, color
Responsibility: Dražen Lučanin.

Abstract:

"This video course will help you get familiar with Jupyter Notebook and all of its features to perform various data science tasks in Python. Jupyter Notebook is a powerful tool for interactive data exploration and visualization and has become the standard tool among data scientists. In the course, we will start from basic data analysis tasks in Jupyter Notebook and work our way up to learn some common scientific Python tools such as pandas, matplotlib, and plotly. We will work with real datasets, such as crime and traffic accidents in New York City, to explore common issues such as data scraping and cleaning. We will create insightful visualizations, showing time-stamped and spatial data. By the end of the course, you will feel confident about approaching a new dataset, cleaning it up, exploring it, and analyzing it in Jupyter Notebook to extract useful information in the form of interactive reports and information-dense data visualizations."--Resource description page.

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Primary Entity

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