Programming and scripting languages: general

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.

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.

Recursion is one of the most fundamental concepts in computer science and a key programming technique that allows computations to be carried out repeatedly.

Praise for the first edition:"e;The well-written, comprehensive book.

Praise for the first edition:"e;The well-written, comprehensive book.

This text is a manual for undergraduate students in engineering and the natural sciences to discover how computer programming works.

Praise for the first edition:"e;The well-written, comprehensive book.

Praise for the first edition:"e;The well-written, comprehensive book.

Practical Guidance on the Efficient Development of High-Quality SoftwareIntroduction to Software Engineering, Second Edition equips students with the fundamentals to prepare them for satisfying careers as software engineers regardless of future changes in the field, even if the changes are unpredictable or disruptive in nature.

A novel approach for the classroom or self-study, Learn to Code with Games makes coding accessible to a broad audience.

Apply machine and deep learning to solve some of the challenges in the oil and gas industry.

Build the foundational data science skills necessary to work with and better understand complex data science algorithms.

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python.

Think from a framework design perspective and move beyond straightforward coding skills.

Explore the designs of the Spring MVC and WebFlux frameworks, and apply similar designs and techniques to your own code.

Transition from a back-end developer to a full-stack developer with knowledge of all the dimensions of web application development, namely, front-end, back-end and server-side software.

Leverage Apache Spark within a modern data engineering ecosystem.

Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure.

Write your first code in Java using simple, step-by-step examples that model real-word objects and events, making learning easy.

This book offers comprehensive coverage of the various technologies and techniques used to build technical products.

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python.

Discover the functioning and example uses of the Common Lisp condition system.

Build great voice apps of any complexity for any domain by learning both the how's and why's of voice development.

Design and develop end-to-end, production-grade computer vision projects for real-world industry problems.

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types.

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis.

Harness the power of Quarkus, the supersonic subatomic cloud-native Java platform from Red Hat.

Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications.

Expand your knowledge of Java with this entertaining learning guide, which features 100+ exercises and programming challenges.

Explore the fundamentals of data analysis, and statistics with case studies using Python.

Write solid, secure, object-oriented code in the new PHP 8.

Apply computer vision and machine learning concepts in developing business and industrial applications ?

Learn the fundamentals of containerization and get acquainted with Docker.

Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning.

Apply a methodology and practical solutions for monitoring the behavior of the Internet of Things (IoT), industrial control systems (ICS), and other critical network devices with the inexpensive Raspberry Pi.

Discover the capabilities of PySpark and its application in the realm of data science.

Use Traefik as a load balancer or a reverse proxy for microservices-based architecture.

Learn how to harness modern deep-learning methods in many contexts.

Leverage machine and deep learning models to build applications on real-time data using PySpark.