Additional information
by Eric Narro (Author)
Share your machine learning models, create chatbots, as well as build and deploy insightful dashboards speedily using Taipy with this hands-on book featuring real-world application examples from multiple industries
Key Features:
- Create visually compelling, interactive data applications with Taipy
- Bring predictive models to end users and create data pipelines to compare scenarios with what-if analyses
- Go beyond prototypes to build and deploy production-ready applications using the cloud provider of your choice
- Purchase of the print or Kindle book includes a free PDF eBook in full color
Book Description:
While data analysts, data scientists, and BI experts have the tools to analyze data, build models, and create compelling visuals, they often struggle to translate these insights into practical, user-friendly applications that help end users answer real-world questions, such as identifying revenue trends, predicting inventory needs, or detecting fraud, without wading through complex code.
This book is a comprehensive guide to overcoming this challenge. This book teaches you how to use Taipy, a powerful open-source Python library, to build intuitive, production-ready data apps quickly and efficiently. Instead of creating prototypes that nobody uses, you'll learn how to build faster applications that process large amounts of data for multiple users and deliver measurable business impact. Taipy does the heavy lifting to enable your users to visualize their KPIs, interact with charts and maps, and compare scenarios for better decision-making. You'll learn to use Taipy to build apps that make your data accessible and actionable in production environments like the cloud or Docker.
By the end of this book, you won't just understand Taipy, you'll be able to transform your data skills into impactful solutions that address real-world needs and deliver valuable insights.
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What You Will Learn:
- Explore Taipy, its use cases, and how it's different from other projects
- Discover how to create visually appealing interactive apps, display KPIs, charts, and maps
- Understand how to compare scenarios to make better decisions
- Connect Taipy applications to several data sources and services
- Develop apps for diverse use cases, including chatbots, dashboards, ML apps, and maps
- Deploy Taipy applications on different types of servers and services
- Master advanced concepts for simplifying and accelerating your development workflow
Who this book is for:
If you're a data analyst, data scientist, or BI analyst looking to build production-ready data apps entirely in Python, this book is for you. If your scripts and models sit idle because non-technical stakeholders can't use them, this book shows you how to turn them into full applications fast with Taipy, so your work delivers real business value. It's also valuable for developers and engineers who want to streamline their data workflows and build UIs in pure Python.
Table of Contents
- Introduction to Taipy
- Building User Interfaces with Taipy GUI
- Connecting to Data Sources: Exploring Taipy Core and Data Nodes
- Orchestrating Taipy Applications
- Managing Scenarios with Taipy
- Deploying Your Taipy Applications
- Financial Forecasting with Taipy
- Supply Chain Management with Taipy
- Insurance Fraud Detection with Taipy
- Manufacturing Planning with Taipy
- Building a LLM Chatbot with Taipy
- Handling Big Data in Taipy Applications
- Utilizing Partials and Asynchronous Callbacks in Taipy
(N.B. Please use the Read Sample option to see further chapters)
