×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

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

(ebook) (audiobook) (audiobook) Książka w języku 1
Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python Tyler Richards - okladka książki

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

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

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

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
282
Dostępne formaty:
     PDF
     ePub
     Mobi
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.

Wybrane bestsellery

O autorze książki

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.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Zamknij Pobierz aplikację mobilną Ebookpoint