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Jupyter Notebook for data science /

"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 cour...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Lučanin, Dražen (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Packt, 2018.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"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
Notas:Title from title screen (viewed September 25, 2018).
Date of publication from resource description page.
Descripción Física:1 online resource (1 streaming video file (3 hr., 11 min., 18 sec.))