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Building versatile mobile apps with python and rest, Yudin, Art
Yudin, Art Building versatile mobile apps with python and rest 9781484263327

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Цена: 51230.00T
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Склад Америка: 251 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Yudin, Art
Название:  Building versatile mobile apps with python and rest
ISBN: 9781484263327
Издательство: Springer
Классификация:
Программирование мобильных и портативных устройств / Программирование приложений

Языки программирования и описания сценариев: общие сведения

ISBN-10: 1484263324
Обложка/Формат: Paperback
Страницы: 348
Вес: 0.55 кг.
Дата издания: 25.11.2020
Язык: English
Издание: 1st ed.
Иллюстрации: 179 illustrations, color; 1 illustrations, black and white; x, 265 p. 180 illus., 179 illus. in color.
Размер: 23.39 x 15.60 x 1.93 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Restful web services with django and react
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Develop versatile iOS and Android apps using Python withRESTful web services. By the end of the book, you`ll have developed three appspowered by Django-a desktop React app, an iOS app, and an Android app.

Building Machine Learning Systems with Python - Second Edition

Автор: Richert Willi
Название: Building Machine Learning Systems with Python - Second Edition
ISBN: 1784392774 ISBN-13(EAN): 9781784392772
Издательство: Неизвестно
Цена: 45970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Get more from your data with the power of Python machine learning systems

Key Features

  • Build your own Python-based machine learning systems tailored to solve any problem
  • Discover how Python offers a multiple context solution for create machine learning systems
  • Practical scenarios using the key Python machine learning libraries to successfully implement in your projects

Book Description

Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learning libraries you can focus on the task at hand while being able to quickly try out many ideas.

This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and introducing libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling, creating recommendation systems. Later on, the book covers advanced topics such as topic modeling, basket analysis, and cloud computing. These will extend your abilities and enable you to create large complex systems.

With this book, you gain the tools and understanding required to build your own systems, tailored to solve your real-world data analysis problems.

What you will learn

  • Build a classification system that can be applied to text, images, or sounds
  • Use NumPy, SciPy, scikit-learn - scientific Python open source libraries for scientific computing and machine learning
  • Explore the mahotas library for image processing and computer vision
  • Build a topic model for the whole of Wikipedia
  • Employ Amazon Web Services to run analysis on the cloud
  • Debug machine learning problems
  • Get to grips with recommendations using basket analysis
  • Recommend products to users based on past purchases

Developing Inclusive Mobile Apps: Building Accessible Apps for IOS and Android

Автор: Whitaker Rob
Название: Developing Inclusive Mobile Apps: Building Accessible Apps for IOS and Android
ISBN: 1484258134 ISBN-13(EAN): 9781484258132
Издательство: Springer
Рейтинг:
Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Chapter 1: What is Accessibility?

- Intro to accessibility - great accessibility is a great experience for everyone

- Intro to disability - ie, its not all visual

- Why mobile is the best for accessible innovation

Chapter 2: What is Digital Inclusion?

- Brief history of accessible thinking

- Inclusive design & the persona spectrum

- Empathy

Chapter 3: Accessibility Tools on Android

- Brief overview of the accessibility features & tools built into Android. What these mean for users, and how to leverage them as developers

- Including code snippets

Chapter 4: Accessibility Tools for iOS

- Brief overview of the accessibility features & tools built into iOS. What these mean for users, and how to leverage them as developers

- Including code snippets

Chapter 5: Ensuring good accessibility

- User research

- Testing with accessibility tools

Chapter 6: Visual Impairments

- Practical tips for improving the experience for people with visual impairments

- Including code snippets

Chapter 7: Motor issues

- Practical tips for improving the experience for people with motor issues

- Including code snippets

Chapter 8: Deaf & Hard of Hearing

- Practical tips for improving the experience for people with auditory impairments

- Including code snippets

Chapter 9: Anxiety & Mental Health

- Practical tips for improving the experience for people with visual mental health issues

- Including code snippets

Chapter 10: Dyslexia, Autism and Learning Difficulties

- Practical tips for improving the experience for people with learning difficulties

- Including code snippets

Chapter 11: Poor Digital Skills

- Good accessibility is not just about disability, but ability too

- What skills are essential for digital life, and how do we measure up

- Practical tips for improving the experience for people with poor digital skills

Chapter 12: Life Circumstances

- Good accessibility is not just about disability, but people's circumstances too

- How circumstances such as low income, poor education etc can affect your digital interactions

- Practical tips for improving the experience for people with with difficult life circumstances

Chapter 13: Age, Gender & Sexuality

- Theres a huge gap in digital use between 18 year olds, and those aged 60+.

- How do we make sure we're not prejudicing based on age or experience, gender or sexuality when creating software

Chapter 14: Internationalization


Building Android Apps in Python Using Kivy with Android Studio: With Pyjnius, Plyer, and Buildozer

Автор: Gad Ahmed Fawzy Mohamed
Название: Building Android Apps in Python Using Kivy with Android Studio: With Pyjnius, Plyer, and Buildozer
ISBN: 1484250303 ISBN-13(EAN): 9781484250303
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Beginning-Intermediate

Building xamarin.forms mobile apps using xaml

Автор: Hermes, Dan Mazloumi, Nima
Название: Building xamarin.forms mobile apps using xaml
ISBN: 1484240294 ISBN-13(EAN): 9781484240298
Издательство: Springer
Рейтинг:
Цена: 41920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Leverage Xamarin.Forms to build iOS and Android apps using a single, cross-platform approach. This book is the XAML companion to the C# guide Xamarin Mobile Application Development.

You'll begin with an overview of Xamarin.Forms, then move on to an in-depth XAML (eXtensible Application Markup Language) primer covering syntax, namespaces, markup extensions, constructors, and the XAML standard. XAML gives us both the power of decoupled UI development and the direct use of Xamarin.Forms elements. This book explores the core of the Xamarin.Forms mobile app UI: using layouts and FlexLayouts to position controls and views to design and build screens, formatting your UI using resource dictionaries, styles, themes and CSS, then coding user interactions with behaviors, commands, and triggers.

You'll see how to use XAML to build sophisticated, robust cross-platform mobile apps and help your user get around your app using Xamarin.Forms navigation patterns. Building Xamarin.Forms Mobile Apps Using XAML explains how to bind UI to data models using data binding and using the MVVM pattern, and how to customize UI elements for each platform using industry-standard menus, effects, custom renderers, and native view declaration.


What You Will Learn

  • Create world-class mobile apps for iOS and Android using C# and XAML
  • Build a XAML UI decoupled from the C# code behind
  • Design UI layouts such as FrameLayout, controls, lists, and navigation patterns
  • Style your app using resource dictionaries, styles, themes, and CSS
  • Customize controls to have platform-specific features using effects, custom renderers, and native views

Who This Book Is For

XAML and C# developers, architects, and technical managers as well as many Android and iOS developers




Learning Python by Building Games

Автор: Kafle Sachin
Название: Learning Python by Building Games
ISBN: 1789802989 ISBN-13(EAN): 9781789802986
Издательство: Неизвестно
Рейтинг:
Цена: 32180.00 T
Наличие на складе: Невозможна поставка.
Описание: The book, starting from introduction to Python, is a fun-filled guide to learning the concepts of Game programming using Python modules and libraries. By building fully-playable games with increasing complexity, you will understand core programming paradigms like OOP, algorithms, data structure, among others.

Building Web Applications with Python and Neo4j

Автор: Gupta Sumit
Название: Building Web Applications with Python and Neo4j
ISBN: 1783983981 ISBN-13(EAN): 9781783983988
Издательство: Неизвестно
Рейтинг:
Цена: 47810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Building Iphone Applications with Titanium: The Official Guide to the Appcelerator Titanium Mobile Platform

Автор: Wright Nolan
Название: Building Iphone Applications with Titanium: The Official Guide to the Appcelerator Titanium Mobile Platform
ISBN: 047066083X ISBN-13(EAN): 9780470660836
Издательство: Wiley
Рейтинг:
Цена: 31670.00 T
Наличие на складе: Поставка под заказ.
Описание: With Titanium, web developers can build native iPhone apps using just their existing skills in HTML, CSS and JavaScript iPhone is the hottest mobile device on the planet, and programmers everywhere want to write applications for this new platform Writing applications for the iPhone usually requires developers to learn the Objective-C programming language With Appcelerator's free Titanium Mobile Platform, developers can create iPhone applications using their existing skills in HTML, CSS and JavaScript - no Objective-C required Titanium applications are not web apps running in the iPhone browser. They are real, native iPhone applications and can be sold via the App Store This official guide is written by, and supported by the Titanium team at Appcelerator

Building Serverless Applications with Python

Автор: Raj Rohit Jalem
Название: Building Serverless Applications with Python
ISBN: 1787288676 ISBN-13(EAN): 9781787288676
Издательство: Неизвестно
Рейтинг:
Цена: 67430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. Many companies have adopted this architecture to save cost and improve scalability. This book will help you design serverless architectures for your applications with AWS and Python.

Building Computer Vision Applications Using Artificial Neural Networks: With Step-By-Step Examples in Opencv and Tensorflow with Python

Автор: Ansari Shamshad
Название: Building Computer Vision Applications Using Artificial Neural Networks: With Step-By-Step Examples in Opencv and Tensorflow with Python
ISBN: 148425886X ISBN-13(EAN): 9781484258866
Издательство: Springer
Рейтинг:
Цена: 30740.00 T
Наличие на складе: Невозможна поставка.
Описание: Section 11. Chapter 1: Prerequisite and Software Installation 1.1. Python and PIP 1.1.1. Installing Python and PIP on Ubuntu 1.1.2. Installing Python and PIP on Mac OS 1.1.3. Installing Python and PIP on CentOS 7 1.1.4. Installing Python and PIP on Windows 1.2. Virtualenv 1.2.1. Setup and activate virtualenv 1.3. Tensorflow 1.3.1. Installing Tensorflow 1.4. PyCharm IDE 1.4.1. Installing PyCharm 1.4.2. Configuring PyCharm to use virtualenv 1.5. OpenCV 1.5.1. Installing OpenCV 1.5.2. Installing OpenCV4 with Python bindings 1.6. Additional libraries 1.6.1. SciPy 1.6.2. Matplotlib
Chapter 2: Core Concepts of Image and Video Processing 1.7. Image processing 1.7.1. Image basics 1.7.2. Pixel 1.7.3. Pixel color 1.7.3.1. Grayscale 1.7.3.2. Color 1.7.4. Coordinate system 1.7.5. Python and OpenCV code to manipulate images 1.7.6. Program: loading, exploring and showing image 1.7.7. Program: OpenCV code to access and manipulate pixels 1.8. Drawing 1.8.1. Drawing a line on an image 1.8.2. Drawing a rectangle on an image 1.8.3. Drawing a circle on an image 1.9. Chapter summary 1.10. 2. Chapter 3: Techniques of Image Processing 2.1. Transformation 2.1.1. Resizing 2.1.2. Translation 2.1.3. Rotation 2.1.4. Flipping 2.1.5. Cropping 2.2. Image arithmetic and bitwise operations 2.2.1. Addition 2.2.2. Subtraction 2.2.3. Bitwise operations 2.2.3.1. OR 2.2.3.2. AND 2.2.3.3. NOT 2.2.3.4. XOR 2.3. Masking 2.4. Splitting and merging channels 2.5. Smoothing and blurring 2.6. Thresholding 2.7. Gradient and edge detection 2.8. Contours2.9. Chapter summary
Section 23. Chapter 4: Building Artificial Intelligence System For Computer Vision 3.1. Image processing pipeline 3.2. Feature extraction 3.2.1. Color histogram 3.2.2. GLCM 3.2.3. HOG 3.2.4. LBP 3.3. Feature selection 3.3.1. Filter 3.3.2. Wrapper 3.3.3. Embedded 3.3.4. Regularization 3.4. Chapter summary
4. Chapter 5: Artificial Neural Network for Computer Vision 4.1. Introduction to ANN 4.1.1. ANN topology 4.1.2. Hyperparameters 4.1.3. ANN model training using TensorFlow 4.1.4. Model evaluation 4.1.5. Model deployment 4.1.6. Use of trained model 4.2. Introduction to Convolution Neural Network (CNN)4.2.1. Core concepts of CNN4.2.2. Creating training set for CNN4.2.3. Training CNN model using TensorFlow 4.2.4. Inspecting CNN model and evaluating model fitness4.2.5. Using and deployment of trained model4.3. Introduction to Recurrent Neural Network (RNN) and long short-term Memory (LSTM)4.3.1. Core concepts of RNN and LSTM4.3.2. Creating training set for LSTM4.3.3. LSTM model training using TensorFlow4.3.4. Inspecting LSTM model and assessing fitness4.3.5. Deploying LSTM models in practice
Section 35. Chapter 6: Practical Example 1- Object Detection in Images 6. Chapter 7: Practical Example 2- Object Tracking in Videos 7. Chapter 8: Practical Example 3- Facial Detection 8. Chapter 9: Industrial Application - Realtime Defect Detection in Industrial Manufacturing

Building Serverless Python Web Services with Zappa

Автор: Barguzar Abdulwahid Abdulhaque
Название: Building Serverless Python Web Services with Zappa
ISBN: 1788837614 ISBN-13(EAN): 9781788837613
Издательство: Неизвестно
Рейтинг:
Цена: 53940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Serverless applications are quite popular, not just because they save developers the trouble of managing servers, but also because they provide several other benefits such as cutting heavy costs and improving the overall performance of the application. This book will teach you the fundamentals of creating efficient serverless applications

Building chatbots with python

Автор: Raj, Sumit
Название: Building chatbots with python
ISBN: 1484240952 ISBN-13(EAN): 9781484240953
Издательство: Springer
Рейтинг:
Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you.
The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment.
The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS.
What You Will Learn
Gain the basics of natural language processing using Python Collect data and train your data for the chatbotBuild your chatbot from scratch as a web appIntegrate your chatbots with Facebook, Slack, and TelegramDeploy chatbots on your own server
Who This Book Is For
Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.

Building RESTful Python Web Services

Автор: Gaston C. Hillar
Название: Building RESTful Python Web Services
ISBN: 1786462257 ISBN-13(EAN): 9781786462251
Издательство: Amazon Internet
Рейтинг:
Цена: 67430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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