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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| 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) |
MARC
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| 100 | 1 | |a Lučanin, Dražen, |e speaker. | |
| 245 | 1 | 0 | |a Jupyter Notebook for data science / |c Dražen Lučanin. |
| 264 | 1 | |a [Place of publication not identified] : |b Packt, |c 2018. | |
| 300 | |a 1 online resource (1 streaming video file (3 hr., 11 min., 18 sec.)) | ||
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| 511 | 0 | |a Presenter, Dražen Lučanin. | |
| 500 | |a Title from title screen (viewed September 25, 2018). | ||
| 500 | |a Date of publication from resource description page. | ||
| 520 | |a "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 | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Science |x Data processing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Information visualization. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Sciences |x Informatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Information visualization. |2 fast |0 (OCoLC)fst00973185 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 650 | 7 | |a Science |x Data processing. |2 fast |0 (OCoLC)fst01108207 | |
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| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781789135411/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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