Name: Luis Caparroz Santos
Type: User
Company: GFT Brazil
Bio: Professor University. PhD student and Msc in Computer Science. Passionate about algorithms and technology in general.
Twitter: _luiscarlosjr
Location: Brasil, São Caetano do Sul
Blog: http://lattes.cnpq.br/9391768652434032
Luis Caparroz Santos's Projects
This repo is part of a project to code in 100 straight days.
100+ algorithms & data structures generically implemented in C#.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Um repositório para as aulas de Android
Microsoft REST API Guidelines
Aulas do primeiro semestre do curso de TADS
Repositório contendo exemplos das aulas dados para os alunos dos cursos de informática
Master programming by recreating your favorite technologies from scratch.
This repo is about curses around c# technology
:bathtub: Clean Code concepts adapted for PHP
A complete computer science study plan to become a software engineer.
Repositori to all my coursera's courses
A repository used to save course content and examples in .NET
Data Structures and Algorithms in Python
Graph Data Structure and Algorithms in C#
edx website courses
Tradução do livro Eloquent JavaScript - 2ª edição.
This is the source code for EShop which is created to demonstrate concepts of microservice architecture.
Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 5, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
A robot powered training repository :robot:
Repo to exercicies
HeuristicLab stable branch
Repositório para a disciplina de introdução à inteligência artificial.
This is CS50's Introduction to Artificial Intelligence with Python
This repository supports the algorithms used in the high performance computer lab to try to solve the Job Shop Scheduling Problem (JSSP)