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Streamlit for data science : create interactive data apps in Python /
An easy-to-follow and comprehensive guide to creating data apps with Streamlit, including how-to guides for working with cloud data warehouses like Snowflake, using pretrained Hugging Face and OpenAI models, and creating apps for job interviews. If you work with data in Python and are looking to cre...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2023.
|
| Edición: | Second edition. |
| Colección: | Expert insight.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Richards, Tyler, |e author. | |
| 245 | 1 | 0 | |a Streamlit for data science : |b create interactive data apps in Python / |c Tyler Richards. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2023. | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Expert insight | |
| 505 | 0 | |a Table of ContentsAn Introduction to StreamlitUploading, Downloading, and Manipulating DataData VisualizationMachine Learning and AI with StreamlitDeploying Streamlit with Streamlit Community CloudBeautifying Streamlit AppsExploring Streamlit ComponentsDeploying Streamlit Apps with Hugging Face and HerokuConnecting to DatabasesImproving Job Applications with StreamlitThe Data Project -- Prototyping Projects in StreamlitStreamlit Power Users. | |
| 588 | |a Description based on CIP data; resource not viewed. | ||
| 520 | |a An easy-to-follow and comprehensive guide to creating data apps with Streamlit, including how-to guides for working with cloud data warehouses like Snowflake, using pretrained Hugging Face and OpenAI models, and creating apps for job interviews. If you work with data in Python and are looking to create data apps that showcase ML models and make beautiful interactive visualizations, then this is the ideal book for you. Streamlit for Data Science, Second Edition, shows you how to create and deploy data apps quickly, all within Python. This helps you create prototypes in hours instead of days! Written by a prolific Streamlit user and senior data scientist at Snowflake, this fully updated second edition builds on the practical nature of the previous edition with exciting updates, including connecting Streamlit to data warehouses like Snowflake, integrating Hugging Face and OpenAI models into your apps, and connecting and building apps on top of Streamlit databases. Plus, there is a totally updated code repository on GitHub to help you practice your newfound skills. You'll start your journey with the fundamentals of Streamlit and gradually build on this foundation by working with machine learning models and producing high-quality interactive apps. The practical examples of both personal data projects and work-related data-focused web applications will help you get to grips with more challenging topics such as Streamlit Components, beautifying your apps, and quick deployment. By the end of this book, you'll be able to create dynamic web apps in Streamlit quickly and effortlessly. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Application software |x Development. | |
| 650 | 0 | |a Python (Computer program language) | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Treuille, Adrien, |e writer of supplementary textual content. | |
| 776 | 0 | 8 | |i Print version : |z 9781803248226 |
| 830 | 0 | |a Expert insight. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781803248226/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL30755886 | ||
| 994 | |a 92 |b IZTAP | ||