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 scientists and analysts 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 or navigating technical jargon. Getting Started with Taipy is your 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 can build fast 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 how to use Taipy to create apps that make your data accessible and actionable for end users in production environments, such as cloud services or in Docker containers. By the end of this book, you won't just understand Taipy but be able to transform your data skills into impactful solutions that address real-world needs and deliver valuable insights.
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 or data scientist who wants to build production-ready data apps entirely in Python, this book is for you. If your scripts and models are sitting idle because non-technical stakeholders are not able to interact with or benefit from them, Taipy helps you integrate them into applications, quickly and easily. Whether you're creating prototypes, proof of concepts, or robust, scalable systems, this book helps you get it done. It's also valuable for developers and engineers who want to streamline their data workflow without relying on multiple libraries outside Python.
