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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...
Hands-On Cybersecurity for Architects: Plan and design robust security architectures
Hands-On Cybersecurity for Architects: Plan and design robust security architectures

Gain practical experience of creating security solutions and designing secure, highly available, and dynamic infrastructure for your organization

Key Features

  • Architect complex security structures using standard practices and use cases
  • Integrate security with any...
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...
Design Patterns and Best Practices in Java: A comprehensive guide to building smart and reusable code in Java
Design Patterns and Best Practices in Java: A comprehensive guide to building smart and reusable code in Java

Create various design patterns to master the art of solving problems using Java

Key Features

  • This book demonstrates the shift from OOP to functional programming and covers reactive and functional patterns in a clear and step-by-step manner
  • All the design patterns come...
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
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...
Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
Advanced JavaScript: Speed up web development with the powerful features and benefits of JavaScript
Advanced JavaScript: Speed up web development with the powerful features and benefits of JavaScript

Gain a deeper understanding of JavaScript and apply it to build small applications in backend, frontend, and mobile frameworks.

Key Features

  • Explore the new ES6 syntax, the event loop, and asynchronous programming
  • Learn the test-driven development approach when building...
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...
Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python
Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python

Enhance your data analysis and predictive modeling skills using popular Python tools

Key Features

  • Cover all fundamental libraries for operation and manipulation of Python for data analysis
  • Implement real-world datasets to perform predictive analytics with Python
  • ...
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