Getting Started with Taipy : The definitive guide to creating production-ready Python applications for data professionals
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;...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Birmingham :
Packt Publishing
2025.
Paris : Cyberlibris |
| Διαθέσιμο Online: | Accès Université d'Orléans et IFPM |
| Σημείωση: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781836203803.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Getting Started with Taipy, The definitive guide to creating production-ready Python applications for data professionals, Eric Narro, Birmingham, Packt Publishing, 2025, 1 vol. (370 p.), 978-18-3620-381-0 |
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| 520 | |a 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. 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. 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'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 discover 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 Docker containers. 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. 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 | ||
| 776 | 0 | |t Getting Started with Taipy |o The definitive guide to creating production-ready Python applications for data professionals |f Eric Narro |c Birmingham |n Packt Publishing |d 2025 |p 1 vol. (370 p.) |z 978-18-3620-381-0 | |
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