- /
- Librarie online
- /
- Carti in engleza
- /
- Computers
- /
- Programming Languages
- /
- Python
- /
- Streamlit in Action: Build Python Web Apps with Streamlit - Aneev Kochakadan
Streamlit in Action: Build Python Web Apps with Streamlit
Streamlit in Action: Build Python Web Apps with Streamlit
Build amazing web apps with Streamlit and Python! The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. Streamlit in Action lays out everything you need to quickly transform your app ideas into fully-fledged web applications using nothing but Python and your imagination. In Streamlit in Action you'll learn how to: - Write web apps in pure Python
- Prototype ideas into proof-of-concept in minutes
- Build awesome front ends for AI apps and data visualizations
- Deploy Streamlit apps in a variety of environments There's no need to switch stacks just to add a web front-end to a Python application. This easy to use, lightweight toolkit is perfect for putting a friendly UI on an AI model or creating an interactive data dashboard. About the book Streamlit in Action teaches you how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you'll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You'll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step. About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer with a diverse background, from designing online transactional services and developing data pipelines to business intelligence and data interpretation. Aneev has refined his expertise at industry leaders like Google and Stripe
- Prototype ideas into proof-of-concept in minutes
- Build awesome front ends for AI apps and data visualizations
- Deploy Streamlit apps in a variety of environments There's no need to switch stacks just to add a web front-end to a Python application. This easy to use, lightweight toolkit is perfect for putting a friendly UI on an AI model or creating an interactive data dashboard. About the book Streamlit in Action teaches you how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you'll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You'll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step. About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer with a diverse background, from designing online transactional services and developing data pipelines to business intelligence and data interpretation. Aneev has refined his expertise at industry leaders like Google and Stripe
PRP: 413.25 Lei
Acesta este Prețul Recomandat de Producător. Prețul de vânzare al produsului este afișat mai jos.
371.93Lei
371.93Lei
413.25 LeiPrimești 371 puncte
Livrare in 2-4 saptamani
Descrierea produsului
Build amazing web apps with Streamlit and Python! The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. Streamlit in Action lays out everything you need to quickly transform your app ideas into fully-fledged web applications using nothing but Python and your imagination. In Streamlit in Action you'll learn how to: - Write web apps in pure Python
- Prototype ideas into proof-of-concept in minutes
- Build awesome front ends for AI apps and data visualizations
- Deploy Streamlit apps in a variety of environments There's no need to switch stacks just to add a web front-end to a Python application. This easy to use, lightweight toolkit is perfect for putting a friendly UI on an AI model or creating an interactive data dashboard. About the book Streamlit in Action teaches you how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you'll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You'll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step. About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer with a diverse background, from designing online transactional services and developing data pipelines to business intelligence and data interpretation. Aneev has refined his expertise at industry leaders like Google and Stripe
- Prototype ideas into proof-of-concept in minutes
- Build awesome front ends for AI apps and data visualizations
- Deploy Streamlit apps in a variety of environments There's no need to switch stacks just to add a web front-end to a Python application. This easy to use, lightweight toolkit is perfect for putting a friendly UI on an AI model or creating an interactive data dashboard. About the book Streamlit in Action teaches you how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you'll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You'll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step. About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer with a diverse background, from designing online transactional services and developing data pipelines to business intelligence and data interpretation. Aneev has refined his expertise at industry leaders like Google and Stripe
Detaliile produsului
