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Expert Twisted: Event-Driven and Asynchronous Programming with Python
Expert Twisted: Event-Driven and Asynchronous Programming with Python
Explore Twisted, the Python-based event-driven networking engine, and review several of its most popular application projects. It is written by community leaders who have contributed to many of the projects covered, and share their hard-won insights and experience.

Expert Twisted starts with an introduction...
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.

In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing
...
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

Test-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application development
Test-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application development

This book will teach the concepts of test driven development in Java so you can build clean, maintainable and robust code

Key Features

  • Explore the most popular TDD tools and frameworks and become more proficient in building applications
  • Create applications with better code...
Randomized Algorithms
Randomized Algorithms
For many applications, a randomized algorithm is either the simplest or the fastest algorithm available, and sometimes both. This book introduces the basic concepts in the design and analysis of randomized algorithms. The first part of the text presents basic tools such as probability theory and probabilistic analysis that are frequently used in...
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Java Language Features: With Modules, Streams, Threads, I/O, and Lambda Expressions
Java Language Features: With Modules, Streams, Threads, I/O, and Lambda Expressions
Work with essential and advanced features of the Java programming language such as Java modules development, lambda expressions (closures), inner classes, threads, I/O, Collections, garbage collection, and more. Author Kishori Sharan provides over 50 diagrams and 290 complete programs to help you visualize and better understand the...
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and...

Unity 2018 Shaders and Effects Cookbook: Transform your game into a visually stunning masterpiece with over 70 recipes, 3rd Edition
Unity 2018 Shaders and Effects Cookbook: Transform your game into a visually stunning masterpiece with over 70 recipes, 3rd Edition

Bring realism to your games by mastering post-processing effects and advanced shading techniques in Unity 2018

Key Features

  • Learn the secrets of creating AAA quality shaders without writing long algorithms
  • Master shader programming through easy-to-follow examples
  • ...
Learning DevOps: Continuously Deliver Better Software
Learning DevOps: Continuously Deliver Better Software

Learn to use some of the most exciting and powerful tools to deliver world-class quality software with continuous delivery and DevOps

About This Book

  • Get to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developer
  • ...
Practical Algorithms for 3D Computer Graphics, Second Edition
Practical Algorithms for 3D Computer Graphics, Second Edition

Practical Algorithms for 3D Computer Graphics, Second Edition covers the fundamental algorithms that are the core of all 3D computer graphics software packages. Using Core OpenGL and OpenGL ES, the book enables you to create a complete suite of programs for 3D computer animation, modeling, and image synthesis.

...
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