Programowanie

Niezależnie czy dopiero rozpoczynacie swoją przygodę z programowaniem, czy jesteście już uznanymi na rynku profesjonalistami, to w kategorii Programowanie na pewno znajdziecie podręczniki, które pomogą Wam w przebiegu pracy, czy też w nauce podstaw programowania.

W książkach z tego działu zawarta jest wiedza zarówno związana z czysto technicznymi sprawami typu składnia języków, ale także z umiejętnościami bardziej "miękkimi" jak obsługa i wykorzystanie pełnych możliwości środowisk programistycznych, czy też projektowanie oprogramowania lub metody numeryczne czy oraz struktury danych.

siatka lista

Hands-On Object-Oriented Programming with C#. Build maintainable software with reusable code using C#

Abhishek Sur, Raihan Taher

Hands-On Object-Oriented Programming with C#. Build maintainable software with reusable code using C#

Abhishek Sur, Raihan Taher

Hands-On Object-Oriented Programming with C#. Build maintainable software with reusable code using C#

Abhishek Sur, Raihan Taher

Hands-On Object-Oriented Programming with C#. Build maintainable software with reusable code using C#

Abhishek Sur, Raihan Taher

Hands-On Object-Oriented Programming with Kotlin. Build robust software with reusable code using OOP principles and design patterns in Kotlin

Abid Khan, Igor Kucherenko

Hands-On Object-Oriented Programming with Kotlin. Build robust software with reusable code using OOP principles and design patterns in Kotlin

Abid Khan, Igor Kucherenko

Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

Shruti Jadon, Ankush Garg

Hands-On Parallel Programming with C# 8 and .NET Core 3. Build solid enterprise software using task parallelism and multithreading

Shakti Tanwar

Hands-On Parallel Programming with C# 8 and .NET Core 3. Build solid enterprise software using task parallelism and multithreading

Shakti Tanwar

Hands-On Penetration Testing with Python. Enhance your ethical hacking skills to build automated and intelligent systems

Furqan Khan

Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment

Alvaro Fuentes

Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

Anubhav Singh, Sayak Paul

Hands-On Python for DevOps. Leverage Python's native libraries to streamline your workflow and save time with automation

Ankur Roy

Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

Aman Kedia, Mayank Rasu

Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Nazia Habib

Hands-On Reactive Programming in Spring 5. Build cloud-ready, reactive systems with Spring 5 and Project Reactor

Oleh Dokuka, Igor Lozynskyi

Hands-On Reactive Programming with Clojure. Create asynchronous, event-based, and concurrent applications - Second Edition

Konrad Szydlo, Leonardo Borges

Hands-On Reactive Programming with Python. Event-driven development unraveled with RxPY

Romain Picard

Hands-On Reactive Programming with Reactor. Build reactive and scalable microservices using the Reactor framework

Rahul Sharma

Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques

Micheal Lanham

Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran