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Getting Started with Taipy. The definitive guide to creating production ready Python applications for data professionals Eric Narro

Język publikacji: angielski
Getting Started with Taipy. The definitive guide to creating production ready Python applications for data professionals Eric Narro - okladka książki

Getting Started with Taipy. The definitive guide to creating production ready Python applications for data professionals Eric Narro - okladka książki

Autor:
Eric Narro
Serie wydawnicze:
Hands-on
Ocena:
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.

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O autorze książki

Eric Narro is a passionate data analyst and Python enthusiast with experience in insurance and agriculture. He transitioned from the wine industry to programming and data analysis, moved by the need for tools that enable professionals with little programming skills to create data applications.
In 2022, he discovered Taipy, fell in love with its concept and quickly became an active contributor. He has written several articles on Taipy's main components, Taipy Gui and Taipy Core, and frequently uses Taipy to develop prototypes, dashboards, chatbots, and specialized apps. Eric is also engaged in contests, active on social media, and has actively contributed by suggesting new features and reporting bugs.

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