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Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual...
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python

Build optimized applications in Python by smartly implementing the standard library

Key Features

  • Strategic recipes for effective application development in Python
  • Techniques to create GUIs and implement security through cryptography
  • Best practices for...
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs

Build effective RESTful APIs for enterprise with design patterns and REST framework's out-of-the-box capabilities

Key Features

  • Understand advanced topics such as API gateways, API securities, and cloud
  • Implement patterns programmatically with easy-to-follow...
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Key Features

  • Think deeply as a developer about your strategy and toolset in data science
  • Discover the best tools that...
Building Serverless Microservices in Python: A complete guide to building, testing, and deploying microservices using serverless computing on AWS
Building Serverless Microservices in Python: A complete guide to building, testing, and deploying microservices using serverless computing on AWS

A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects.

Key Features

  • Create a secure, cost-effective, and scalable serverless data API
  • Use identity management and authentication for a user-specific and secure...
Tkinter GUI Programming by Example: Learn to create modern GUIs using Tkinter by building real-world projects in Python
Tkinter GUI Programming by Example: Learn to create modern GUIs using Tkinter by building real-world projects in Python

Leverage the power of Python and its de facto GUI framework to build highly interactive interfaces

Key Features

  • The fundamentals of Python and GUI programming with Tkinter.
  • Create multiple cross-platform projects by integrating a host of third-party libraries and...
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

  • Learn the fundamentals of Python programming with interactive projects
  • Apply Python to data...
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning

Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease

Key Features

  • Build smart mobile applications for Android and iOS devices
  • Use popular machine learning toolkits such as Core ML and TensorFlow Lite
  • Explore...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Mastering Python Networking: Your one-stop solution to using Python for network automation, DevOps, and Test-Driven Development, 2nd Edition
Mastering Python Networking: Your one-stop solution to using Python for network automation, DevOps, and Test-Driven Development, 2nd Edition

Master the art of using Python for a diverse range of network engineering tasks

Key Features

  • Explore the power of Python libraries to tackle difficult network problems efficiently and effectively
  • Use Python for network device automation, DevOps, and software-defined...
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