Introduction to web application development using Python Flask How to create an object detection app & machine learning API Tankobon Softcover –
88% of respondents would recommend this to a friend
XAF 22512
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Start your journey into Flask and build incredible web applications and APIs efficiently with our comprehensive guide.
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What Stands Out
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| Publisher | u7fd4u6cf3u793e |
| Publication date | January 24, 2022 |
| Language | Japanese |
| Print length | 480 pages |
| ISBN-10 | 4798166464 |
| ISBN-13 | 978-4798166469 |
| Item Weight | 890 g |
| Dimensions | 7.2 x 1.22 x 9.09 inches (18.3 x 3.1 x 23.1 cm) |
Who Should Buy?
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Aspiring Developers
Perfect for those starting their journey in web development using Python and Flask framework.
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Machine Learning Enthusiasts
Ideal for individuals wanting to understand object detection and integrate machine learning APIs into applications.
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Educators and Instructors
Useful resource for teachers looking to provide students with practical, hands-on projects in web application development.
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Advanced Developers
Seasoned developers may find the content too basic and lacking depth for their advanced skill levels.
KWATANCEN ABUN
Introduction to web application development using Python Flask How to create an object detection app & machine learning API Tankobon Softcover – January 24, 2022
Tambayoyi & Amsoshi Abokin Ciniki
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Ana samun Introduction to web application development using don siyayya akan layi a cikin Chad?
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佐藤 昌基 , 平田 哲也 Editorial Review
**** The book "Introduction to Web Application Development Using Python Flask" provides a thorough introduction to developing web applications with Flask, integrating machine learning functionalities. The content has been well-received by readers, particularly those who are at a beginner to intermediate level in Python, Flask, and machine learning. The practical approach taken by the author allows readers to learn not just the theory but also the hands-on application of algorithms to create an object detection app. Readers appreciate the straightforward, matter-of-fact writing style, which aids in comprehension, although some have expressed a desire for more in-depth explanations in certain areas. The structure is beginner-friendly, providing clear guidance on setting up the development environment. However, it is noted that expanding on applied content related to Flask could enhance the learning experience. The documentation regarding module versions available on GitHub is highlighted as a significant asset, especially Considering potential discrepancies that arise from version differences. This attention to detail demonstrates the author’s awareness of common pitfalls in software development. On the other hand, despite the book's many strengths, some readers encountered typographical errors that detracted from their overall experience, which slightly dimmed its overall reception. Overall, the book stands out as a valuable resource in a market with limited materials on Flask, combining theoretical knowledge with practical application effectively. Recommendations for improvement include deeper insights into practical web app development and addressing typographical errors. **
Customer Reviews & Ratings
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5 Tauraruwa
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Yi bitar akan wannan Samfurin
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Ribobi
- Practical content for learning web application development using Flask and machine learning.
- Beginner to intermediate-friendly, with a clear explanation of environment setup.
- Inclusion of GitHub resources for sample code and module version checking.
- Many useful tips applicable to real-world projects.
Fursunoni
- Lack of in-depth explanations in some areas.
Product Price History
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XAF 22512
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Fasaloli & Fa'idoji
- Begin with the basics of Flask and web app development.
- Learn to create applications with contact forms, databases, and user authentication.
- Develop a practical object detection app using image data.
- Gain insight on converting your app into a Web API.
- Explore the integration of machine learning into your applications.
- Ideal for engineers and data scientists looking to create their own apps.
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