Wydawca: 16

Java 8. Przewodnik doświadczonego programisty

Cay S. Horstmann

Java 9: Building Robust Modular Applications. Master advanced Java features and implement them to build amazing projects

Dr. Edward Lavieri Jr., Peter Verhas, Jason...

Java 9 Concurrency Cookbook. Build highly scalable, robust, and concurrent applications - Second Edition

Javier Fernández González

Java 9 Data Structures and Algorithms. A step-by-step guide to data structures and algorithms

Debasish Ray Chawdhuri

Java 9 Dependency Injection. Write loosely coupled code with Spring 5 and Guice

Nilang Patel , Krunal Patel

Java 9 High Performance. Practical techniques and best practices for optimizing Java applications through concurrency, reactive programming, and more

Mayur Ramgir, Nick Samoylov

Java 9 Programming Blueprints. Master features like modular programming, Java HTTP 2.0, and REPL by building numerous applications

Jason Lee

Java 9 Programming By Example. Your guide to software development

Peter Verhas

Java 9. Przewodnik doświadczonego programisty. Wydanie II

Cay S. Horstmann

Java 9 Regular Expressions. A hands-on guide to implement zero-length assertions, back-references, quantifiers, and many more

Anubhava Srivastava

Java 9 with JShell. Introducing the full range of Java 9's new features via JShell

Gastón C. Hillar

Java and Algorithmic Thinking for the Complete Beginner. From Basics to Advanced Techniques: Master Java and Algorithms for a Robust Programming Foundation

Aristides Bouras

Java Coding Problems. Become an expert Java programmer by solving over 250 brand-new, modern, real-world problems - Second Edition

Anghel Leonard

Java Coding Problems. Improve your Java Programming skills by solving real-world coding challenges

Anghel Leonard

Java Concurrency and Parallelism. Master advanced Java techniques for cloud-based applications through concurrency and parallelism

Jay Wang

Java. Ćwiczenia praktyczne. Wydanie III

Marcin Lis

Java. Ćwiczenia praktyczne. Wydanie IV

Marcin Lis

Java. Ćwiczenia zaawansowane. Wydanie II

Marcin Lis

Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization

John R. Hubbard

Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more

Rushdi Shams

Java: Data Science Made Easy. Data collection, processing, analysis, and more

Richard M. Reese, Jennifer L. Reese, Alexey...

Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j

Rahul Raj

Java Deep Learning Essentials. Unlocking the next generation of predictive power

Yusuke Sugomori

Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Md. Rezaul Karim