Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方
Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方
Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方
Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方
Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方
Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方
Start your journey into Flask and build incredible web applications and APIs efficiently with our comprehensive guide.
Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方
Barang #: 87951424

Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方

Barang #: 87951424

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What Stands Out

Comprehensive Guide
This book offers a step-by-step approach to web application development, focusing on Python Flask, making it ideal for beginners and experienced developers seeking to enhance their skills.
Practical Examples
Readers gain hands-on experience through practical examples, including building an object detection app and machine learning API, allowing learners to apply concepts immediately.
Current Techniques
The content covers the latest technologies in web development and machine learning, ensuring readers stay up-to-date with contemporary practices in the field.

Rincian Produk

Shop Python FlaskによるWebアプリ開発入門 物体検知アプリ&機械学習APIの作り方 online at a best price in Timor-Leste. 4798166464
  • Webアプリの作り方からAPI化、デプロイメントまでエンジニアとデータサイエンティストのためのFlask入門Pythonのフレームワーク「Flask」によるWebアプリ開発の入門書です。まずは、最小のアプリの作成から始め、問い合わせフォーム、データベースを使ったアプリ、認証機能と段階的に作成しながら、Flaskによるアプリ開発の基礎を習得します。その後、画像データ(写真)から物体を判別する物体検知アプリを作成しながら実践的なアプリの作り方、その機能をWeb API化する方法について解説します。また、物体検知機能(手書き文字認識をする分析コード)を題材に、どのように機械学習をアプリに組み込んでいくかについても詳しく解説します。【本書の主な内容】●Flaskと開発の基礎 ◯問い合わせフォーム/DBアプリの作成 ◯認証機能の作成 ◯物体検知アプリの作成●API化/デプロイメント ◯物体検知アプリのWeb API化 ◯Web APIとして外部公開●機械学習APIの開発 ◯分析コードから機械学習APIを開発する工程と方法【主な対象読者】●Pythonで簡単にWebアプリ開発を始めたいエンジニア●機械学習に興味のあるWebエンジニア●Pythonを分析用途でしか使ったことがない人●自分でもアプリやWeb APIを作りたいデータサイエンティスト【章構成】●第0部 イントロダクション Flaskの概要と環境構築●第1部 Flask入門 最小限のアプリを作る――Flaskの基礎 データベースを利用したアプリを作る 認証機能を追加する●第2部Flask実践1物体検知アプリの開発 アプリの仕様と準備 画像一覧画面を作る サインアップとログインの画面を作る 画像アップロード画面を作る 物体検知機能を作る 検索機能を作る カスタムエラー画面を作る ユニットテストを作る●第3部Flask実践2物体検知機能のAPI化/デプロイメント Web APIの概要 物体検知APIの仕様 物体検知APIの実装 物体検知アプリのデプロイメント●第4部機械学習APIの開発 機械学習の概要 機械学習APIの開発工程と実践
Publisher 翔泳社
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?

Suitable For
  • Aspiring Developers

    Perfect for those starting their journey in web development using Python and Flask framework.

  • Machine Learning Enthusiasts

    Ideal for individuals wanting to understand object detection and integrate machine learning APIs into applications.

  • Educators and Instructors

    Useful resource for teachers looking to provide students with practical, hands-on projects in web application development.

Not Suitable For
  • Advanced Developers

    Seasoned developers may find the content too basic and lacking depth for their advanced skill levels.

DESKRIPSI PRODUK

Punya Pertanyaan? Berbincanglah dengan kami

Pertanyaan & Jawaban Pelanggan

  • pertanyaan: Who is this book for?

    menjawab: It's targeted at engineers wanting to dive into web app development with Python and data scientists looking to build applications and APIs.
  • pertanyaan: What topics does the book cover?

    menjawab: The book covers Flask basics, app development, object detection, API creation, and incorporating machine learning.
  • pertanyaan: Is prior programming experience needed?

    menjawab: While helpful, the book is designed to guide beginners through the fundamentals of Flask and web development.

佐藤 昌基 , 平田 哲也 Programming & App Development 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

98 peringkat pelanggan
  • 5 bintang
    43%
  • 4 bintang
    35%
  • 3 bintang
    12%
  • 2 bintang
    4%
  • 1 bintang
    6%

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Pro

  • 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.

Kontra

  • Lack of in-depth explanations in some areas.

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