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Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python
Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python

Test your Python programming skills by solving real-world problems

Key Features

  • Access built-in documentation tools and improve your code.
  • Discover how to make the best use of decorator and generator functions
  • Enhance speed and improve concurrency by...
The Modern C# Challenge: Become an expert C# programmer by solving interesting programming problems
The Modern C# Challenge: Become an expert C# programmer by solving interesting programming problems

Learn advanced C# concepts and techniques such as building caches, cryptography, and parallel programming by solving interesting programming challenges

Key Features

  • Gain useful insights on advanced C# programming topics and APIs
  • Use locking and cached values to solve...
Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction
Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction
Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. 

There are no prerequisites here and you won't see a single line of
...
Delphi High Performance: Build fast Delphi applications using concurrency, parallel programming and memory management
Delphi High Performance: Build fast Delphi applications using concurrency, parallel programming and memory management

Build fast, scalable, and high performing applications with Delphi

Key Features

  • Build efficient and concurrent applications in Delphi with focused examples
  • Identify performance bottlenecks and apply the correct algorithm to increase the performance of applications.
  • ...
Concurrent Patterns and Best Practices: Build scalable apps with patterns in multithreading, synchronization, and functional programming
Concurrent Patterns and Best Practices: Build scalable apps with patterns in multithreading, synchronization, and functional programming

A definitive guide to mastering and implementing concurrency patterns in your applications

Key Features

  • Build scalable apps with patterns in multithreading, synchronization, and functional programming
  • Explore the parallel programming and multithreading techniques to make...
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python

Invent your own Python scripts to automate your infrastructure

Key Features

  • Make the most of Python libraries and modules to automate your infrastructure
  • Leverage Python programming to automate server configurations and administration tasks
  • Efficiently...
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract...
Hands-On Design Patterns with C# and .NET Core: Write clean and maintainable code by using reusable solutions to common software design problems
Hands-On Design Patterns with C# and .NET Core: Write clean and maintainable code by using reusable solutions to common software design problems

Apply design patterns to solve problems in software architecture and programming using C# 7.x and .NET Core 2

Key Features

  • Enhance your programming skills by implementing efficient design patterns for C# and .NET
  • Explore design patterns for functional and reactive...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Distributed Computing with Go: Practical concurrency and parallelism for Go applications
Distributed Computing with Go: Practical concurrency and parallelism for Go applications

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features.

Key Features

  • This book provides enough concurrency theory to give you a contextual understanding of Go concurrency
  • It gives weight to synchronous and asynchronous data...
Java Projects - Fundamentals of Java 18.9 - Second Edition: Practical projects to get you up and running with Java 18.9
Java Projects - Fundamentals of Java 18.9 - Second Edition: Practical projects to get you up and running with Java 18.9

Learn how to build scalable, resilient, and effective applications in Java that suit your software requirements.

Key Features

  • Explore advanced technologies that Java 11 delivers such as web programming and parallel computing
  • Discover modern programming paradigms such as...
The Modern C++ Challenge: Become an expert programmer by solving real-world problems
The Modern C++ Challenge: Become an expert programmer by solving real-world problems

Test your C++ programming skills by solving real-world programming problems covered in the book

Key Features

  • Solve a variety of real-world programming and logic problems by leveraging the power of C++17
  • Test your skills in using language features, algorithms, data...
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