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    Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

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    Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python Tyler Richards - okładka ebooka

    Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python Tyler Richards - okładka ebooka

    Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python Tyler Richards - okładka audiobooka MP3

    Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python Tyler Richards - okładka audiobooks CD

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    Do przechowalni

    Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time.
    You'll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps.
    By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.

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    O autorze ebooka

    Tyler Richards is a senior data scientist at Snowflake, working on a variety of Streamlit-related projects. Before this, he worked on integrity as a data scientist for Meta and non-profits like Protect Democracy. While at Facebook, he launched the first version of this book and subsequently started working at Streamlit, which was acquired by Snowflake early in 2022.

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