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...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham
Packt Publishing
2023
|
| Ausgabe: | Second edition. |
| Schriftenreihe: | Expert insight
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781803248226/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Description based on CIP data; resource not viewed |
| Umfang: | 1 Online-Ressource. |
| ISBN: | 9781803232959 1803232951 9781803248226 |
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| spelling | Richards, Tyler VerfasserIn aut Streamlit for data science create interactive data apps in Python Tyler Richards Second edition. Birmingham Packt Publishing 2023 1 Online-Ressource. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Expert insight Description based on CIP data; resource not viewed 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. Application software Development Python (Computer program language) Logiciels d'application ; Développement Python (Langage de programmation) Application software ; Development Treuille, Adrien MitwirkendeR ctb 9781803248226 Erscheint auch als Druck-Ausgabe 9781803248226 |
| spellingShingle | Richards, Tyler Streamlit for data science create interactive data apps in Python Application software Development Python (Computer program language) Logiciels d'application ; Développement Python (Langage de programmation) Application software ; Development |
| title | Streamlit for data science create interactive data apps in Python |
| title_auth | Streamlit for data science create interactive data apps in Python |
| title_exact_search | Streamlit for data science create interactive data apps in Python |
| title_full | Streamlit for data science create interactive data apps in Python Tyler Richards |
| title_fullStr | Streamlit for data science create interactive data apps in Python Tyler Richards |
| title_full_unstemmed | Streamlit for data science create interactive data apps in Python Tyler Richards |
| title_short | Streamlit for data science |
| title_sort | streamlit for data science create interactive data apps in python |
| title_sub | create interactive data apps in Python |
| topic | Application software Development Python (Computer program language) Logiciels d'application ; Développement Python (Langage de programmation) Application software ; Development |
| topic_facet | Application software Development Python (Computer program language) Logiciels d'application ; Développement Python (Langage de programmation) Application software ; Development |
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