Programowanie

Nasza biblioteka online zawiera szereg publikacji, dzięki którym programowanie nie będzie mieć przed Tobą żadnych tajemnic. Zawarte tu książki przybliżą Ci takie języki jak HTML, JavaScript, Python czy CSS. Dowiesz się dzięki nim także tego, jak tworzyć efektywne algorytmy, projektować aplikacje mobilne, czy dbać o poprawną architekturę informacji w serwisach internetowych.

Hands-On High Performance with Spring 5. Techniques for scaling and optimizing Spring and Spring Boot applications

Chintan Mehta, Subhash Shah, Pritesh Shah, Prashant Goswami, ...

Hands-On Image Generation with TensorFlow. A practical guide to generating images and videos using deep learning

Soon Yau Cheong

Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data

Sandipan Dey

Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning

Palanisamy P

Hands-On Java Deep Learning for Computer Vision. Implement machine learning and neural network methodologies to perform computer vision-related tasks

Klevis Ramo

Hands-on JavaScript for Python Developers. Leverage your Python knowledge to quickly learn JavaScript and advance your web development career

Sonyl Nagale

Hands-On Kubernetes on Azure. Run your applications securely and at scale on the most widely adopted orchestration platform

Shivakumar Gopalakrishnan, Gunther Lenz

Hands-On Linux Administration on Azure. Explore the essential Linux administration skills you need to deploy and manage Azure-based workloads

Frederik Vos

Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python

Stefan Jansen

Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem

Soma Halder, Sinan Ozdemir

Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine

Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier

Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence

Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, ...

Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines

Kirill Kolodiazhnyi

Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning

Burak Kanber

Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

Jarred Capellman

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Tarek Amr

Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library

Kai Sasaki

Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem

Ankur Ankan, Abinash Panda

Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks

Jay Dawani

Hands-On Meta Learning with Python. Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Sudharsan Ravichandiran

Hands-On Microservices - Monitoring and Testing. A performance engineer's guide to the continuous testing and monitoring of microservices

Dinesh Rajput

Hands-On Microservices with C#. Designing a real-world, enterprise-grade microservice ecosystem with the efficiency of C# 7

Matt R. Cole

Hands-On Microservices with Kotlin. Build reactive and cloud-native microservices with Kotlin using Spring 5 and Spring Boot 2.0

Juan Antonio Medina Iglesias

Hands-On Microservices with Rust. Build, test, and deploy scalable and reactive microservices with Rust 2018

Denis Kolodin