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Total Size:
57.4 MB
Info Hash:
B305C6A1D8B86B98DCC9AEEF79D4BA8147C87CBD
Added By:
Added:
April 7, 2026, 9:53 a.m.
Stats:
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(Last updated: April 7, 2026, 9:54 a.m.)
| File | Size |
|---|---|
| Narro E. Getting Started with Taipy. The definitive guide...Python apps...2025.pdf | 6.7 MB |
| Code .zip | 50.7 MB |
Name
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57.4 MB
[55
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15]
2026-04-07
| Uploaded by andryold1 | Size 57.4 MB | Health [ 55 /15 ] | Added 2026-04-07 |
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897.7 MB
[26
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2023-07-01
| Uploaded by MVGroup | Size 897.7 MB | Health [ 26 /18 ] | Added 2023-07-01 |
NOTE
SOURCE: Narro E. Getting Started with Taipy. The definitive guide...Python apps...2025
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COVER
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MEDIAINFO
Textbook in PDF format 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 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. 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
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