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Prototyping Python Dashboards for Scientists and Engineers: Build and Deploy a Complete Dashboard with Python
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MYR 229
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This hands-on guide is a practical resource for those looking to leverage Python's power for data visualization and analysis in a user-friendly dashboard format.
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Maklumat produk
- Create interactive and data-driven dashboards using Python. This hands-on guide is a practical resource for those (with modest programming skills) in scientific and engineering fields looking to leverage Python's power for data visualization and analysis in a user-friendly dashboard format.You’ll begin by gaining a fundamental understanding of Python programming, including data types, lists, dictionaries, and data structures. The book then delves into the world of reactive programming with Plotly and Dash, offering a hands-on approach to building interactive web-based dashboards. Next, you’ll see how to work with online data, how to scrape and clean datasets, and keep files up-to-date. The book also guides you through planning a dashboard prototype, outlining project tasks, trends, forecasts, spectra, and other design considerations. It concludes with a discussion of how the dashboard can be used for data visualization of real data, explaining the usefulness of tools such as spectra. By providing detailed examples for download and customization, Prototyping Python Dashboards for Scientists and Engineers will equip you with the skills needed to jumpstart your own development efforts. What You’ll LearnDesign a dashboard with PythonConvert and filter Excel formatted files to produce CSV filesCreate browser-served graphics with PLOTLYGenerate polynomial trend lines for forecastingBuild a Unix service to share your dashboardWho This Book Is For Scientists, engineers, students, programmers, and data enthusiasts who aspire to harness Python's potential for data visualization and analysis through the creation of interactive dashboards. Many will be pragmatic programmers with modest skills and limited resources who mainly want to see a working solution they could emulate.
| Publisher | Apress |
| Publication date | March 1, 2024 |
| Edition | First Edition |
| Language | English |
| Print length | 228 pages |
| ISBN-13 | 979-8868802201 |
| Item Weight | 12 ounces (340.2 grams) |
| Dimensions | 6.1 x 0.53 x 9.25 inches (15.5 x 1.3 x 23.5 cm) |
Who Should Buy?
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Data Scientists
Data scientists looking to visualize complex datasets effectively will benefit significantly from this dashboard prototyping resource.
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Engineers
Engineers needing to create real-time monitoring dashboards can utilize this guide to enhance project presentations and analyses.
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Educators
Educators teaching data visualization can use this product to provide hands-on examples and practical projects for students.
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Beginners in Python
Beginners may struggle with the content as it assumes prior knowledge of Python programming and dashboard concepts.
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Python Editorial Review
Prototyping Python Dashboards for Scientists and Engineers: Build and Deploy a Complete Dashboard with Python is an insightful first edition published by Apress on March 1, 2024. Spanning 228 pages, this book provides a comprehensive guide tailored for professionals looking to harness Python for dashboard development. Readers have praised its practical approach, making complex concepts more digestible. The easy-to-follow techniques help both scientists and engineers effectively deploy their dashboards. Furthermore, the emphasis on real-world applications ensures the content remains relevant and useful.
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Practical insights for dashboard development
- Tailored for scientists and engineers
- Real-world applications emphasized
- Clear explanations of complex concepts
- Well-structured for easy learning
Keburukan
- Might require prior Python knowledge for beginners
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MYR 229
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Ciri & Faedah
- Learn to build interactive dashboards using Python.
- Suitable for scientists and engineers with modest programming skills.
- Hands-on approach to reactive programming with Plotly and Dash.
- Covers data scraping, cleaning, and ongoing data management.
- Includes planning guidelines for creating effective dashboard prototypes.
- Provides downloadable examples to kickstart your development.
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