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Google Maps: Power Tools for Maximizing the API
90% of respondents would recommend this to a friend
NIO 987
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Create custom applications with the Google Maps API featuring step-by-step examples, you’ll be programming in no time!
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What Stands Out
Product Details
| Publisher | McGraw Hill |
| Publication date | March 18, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 464 pages |
| ISBN-10 | 0071823026 |
| ISBN-13 | 978-0071823029 |
| Item Weight | 1.68 pounds (760 grams) |
| Dimensions | 7.5 x 1.05 x 9.25 inches (19.1 x 2.7 x 23.5 cm) |
Who Should Buy?
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Developers
Ideal for developers seeking to integrate Google Maps API efficiently into their applications for enhanced user experiences.
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Businesses
Perfect for businesses that want to utilize mapping solutions for logistics, delivery, or location-based services.
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Educators
Useful for educators teaching geography or programming, providing practical examples of API implementation in real-world scenarios.
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Casual Users
Not suitable for everyday users looking for basic navigation or maps without API integration knowledge requirements.
Product Description
Google Maps: Power Tools for Maximizing the API
Customer Questions & Answers
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Question:
What programming knowledge is required to use this book?
Answer: Basic knowledge of JavaScript is required to effectively follow the tutorials. -
Question:
Are there examples included in the book?
Answer: Yes, there are numerous hands-on examples provided to help you understand and apply the concepts. -
Question:
Can I use this book for desktop application development?
Answer: Absolutely! The book also covers how to embed Google Maps into desktop applications.
Power Tools Editorial Review
**** The "Google Maps: Power Tools for Maximizing the API" Kindle edition has been highly received by users eager to delve into the complex capabilities of the Google Maps API. It addresses both the novice and the experienced programmer, expanding significantly beyond the surface-level instructions found in previous literature. Readers appreciate the comprehensive structure of the book, which sequentially builds knowledge from basic map embedding to sophisticated features like animated graphics and spatial database integration. One of the most praised aspects is the practical approach to teaching, with the author demonstrating real-world applications of topics rather than merely reiterating existing documentation. The in-depth chapters on Javascript programming, geocoding, and Visualization of large datasets have drawn attention for their clarity and thoroughness. Many users value the book's ability to empower them to create customized mapping solutions, such as interactive drawing tools, markers, and complex data visualizations that go beyond mere marker placements. The inclusion of chapters on KML and SQL Spatial is regarded as a crucial asset for users wanting to manage and leverage extensive geospatial datasets effectively. Despite its strengths, some readers pointed out that the text could provide more guidance on sourcing geographic boundary data needed for certain applications. Nevertheless, for anyone serious about utilizing the Google Maps API for web or application development, this book is hailed as an indispensable guide that is both informative and actionable. **
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Pros
- Comprehensive coverage of Google Maps API functionalities.
- Practical, real-world application examples rather than just theoretical explanations.
- In-depth discussion on Javascript integration and advanced programming techniques.
- Valuable chapters on KML and SQL Spatial data management.
- Suitable for both beginners and advanced developers.
Cons
- Lacks specific guidance on sourcing geographic boundary data.
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NIO 987
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Features & Benefits
- Step-by-step guide to programming the Google Maps API with JavaScript.
- Learn to create custom, map-enabled web applications and desktop applications.
- Includes countless examples and samples to kickstart your development.
- Enhance maps with annotations like labels, markers, and shapes.
- Automate map generation and integrate GIS features seamlessly.
- Visualize and animate large datasets for an engaging user experience.
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