Programming and scripting languages: general

Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data.

Improve your coding skills and learn how to write readable code.

Develop strong skills and a passion for writing cryptography algorithms and security schemes/modules using C++ 20 and its new features.

Learn how to use Solidity and the Ethereum project - second only to Bitcoin in market capitalization.

Cyberattacks are becoming more commonplace and the Open Web Application Security Project (OWASP), estimates 94% of sites have flaws in their access control alone.

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.

Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework.

Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps.

Want to use the power of R sooner rather than later?

Gain insight into the world of nature-inspired optimization techniques and algorithms.

Here is your in-depth guide to cryptography and cryptanalysis in Java.

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection.

Develop modular applications using the Java Platform Module System, the single most anticipated feature in Java 9.

This book will show you how to use Python to create graphic objects for technical illustrations and data visualization.

Use Visual Studio Code to write and debug code quickly and efficiently on any platform, for any device, using any programming language, and on the operating system of your choice.

This pocket reference has been updated with the new PHP 8 release.

Dive deep into Jenkins Blue Ocean and discover how easy creating a pipeline can be.

Take your distributed applications to the next level and see what the reference architectures associated with microservices can do for you.

Develop and optimize deep learning models with advanced architectures.

Deploy deep learning solutions in production with ease using TensorFlow.

Ready to learn programming with less effort and more fun?

Rely on this comprehensive guide to understand the extension patterns and discover the extension plugins for Kubernetes.

Discover the essential concepts of libvirt development and see how to interface to Linux virtualization environments, such as QEMU/KVM, XEN, Virtuozzo, VMWare ESX, LXC, Bhyve, and more.

Build messaging applications using the power of Spring Boot; use Spring application events over the Web; use WebSocket, SockJS, and STOMP messaging with Spring MVC; and use Spring JMS, Redis Pub/Sub and Spring AMQP for reliable messaging solutions.

Understand Blender's Python API to allow for precision 3D modeling and add-on development.

Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines.

Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning.

Leverage the power of Hexo to quickly produce static blog sites that are efficient and fast.

Learn about editor scripting in Unity, including different possible methods of editor customization to fit your custom game workflow or even to create assets that could be published on the Asset Store to earn a passive income.

Design and build innovative, custom, data-driven Alexa skills for home or business.

Take a detailed look at the NetBeans IDE and new features in the NetBeans Platform.

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition.

This updated and reorganized fourth edition of Software Testing: A Craftsman's Approach applies the strong mathematics content of previous editions to a coherent treatment of Model-Based Testing for both code-based (structural) and specification-based (functional) testing.

Mobile Applications Development with Android: Technologies and Algorithms presents advanced techniques for mobile app development, and addresses recent developments in mobile technologies and wireless networks.

Mobile Applications Development with Android: Technologies and Algorithms presents advanced techniques for mobile app development, and addresses recent developments in mobile technologies and wireless networks.

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.

GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs.

Although many software books highlight open problems in secure software development, few provide easily actionable, ground-level solutions.

With its flexibility for programming both small and large projects, Scala is an ideal language for teaching beginning programming.

Game development is one of the most rewarding crafts of modern times.

This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems.

Teach Your Students How to Use Computing to Explore Powerful and Creative IdeasIn the twenty-first century, computers have become indispensable in music making, distribution, performance, and consumption.

A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater complexity.

Security is too important to be left in the hands of just one department or employee-it's a concern of an entire enterprise.

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments.

The best way to learn software engineering is by understanding its core and peripheral areas.

The best way to learn software engineering is by understanding its core and peripheral areas.

After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area.

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types.

Unlike other books about R, written from the perspective of statistics, this book is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R.