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Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps
72% of respondents would recommend this to a friend
AZN 66
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After completing this book, you will have the knowledge necessary to create added value for your organization.
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What Stands Out
Product Details
| Publisher | Apress |
| Publication date | November 6, 2021 |
| Edition | First Edition |
| Language | English |
| Print length | 241 pages |
| ISBN-10 | 1484277821 |
| ISBN-13 | 978-1484277829 |
| Item Weight | 15.2 ounces (430.92 grams) |
| Dimensions | 7.01 x 0.55 x 10 inches (17.8 x 1.4 x 25.4 cm) |
Who Should Buy?
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Aspiring Developers
Individuals looking to enhance their skills in web app development and Python programming through practical, hands-on experience.
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Data Scientists
Professionals aiming to integrate machine learning algorithms into their web applications for improved analytics and functionality.
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Tech Entrepreneurs
Startup founders who want to build data-driven web apps with real-time analytics to support their business models.
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Absolute Beginners
Users with no programming experience may find the content challenging and difficult to grasp effectively.
Product Description
Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps
Customer Questions & Answers
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Question:
Who is this book intended for?
Answer: This book is ideal for intermediate data scientists, machine learning engineers, and web developers. -
Question:
What programming language does this book focus on?
Answer: The book focuses on using the Python programming language for web app development. -
Question:
Will I learn about deploying web apps?
Answer: Yes, the book includes a demonstration of how to deploy web apps on prevalent cloud platforms.
Intelligence & Semantics Editorial Review
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Pros
- Good introduction to web development
- Covers real-time analytics basics
- Includes some useful examples
Cons
- Content could be more in-depth.
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AZN 66
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Features & Benefits
- Learn to develop interactive dashboards as web apps using Python.
- Understand key frameworks and techniques to build web applications.
- Incorporate machine learning algorithms into your web apps.
- Secure and deploy your web apps on popular cloud platforms.
- Ideal for intermediate data scientists, machine learning engineers, and web developers.
- Transform static graphs into dynamic, interactive visualizations.
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