Python is one of the most used programming languages in the world and many companies are looking for developers who know it! It was created in 1991 by Guido van Rossum with the main objective of being simple and easy to learn, compared to other programming languages where the learning curve is much higher. Python language has gained a lot of popularity in recent years because it is suitable for many applications, such as: web development, artificial intelligence, data science, big data, computer graphics, among many others.
This free course was designed for those who are starting their studies in the Python programming language and do not have much time to take a bigger and more complete course. You will learn only the bases of this programming language. Take a look at the content that will be covered:
Python installation
Five main IDEs (Integrated Development Environment) to work with Python
Variables and constants
Math operations
Logical, relational and conditional operators
Loops, such as the "for" and "while" commands
Functions
Main collections, such as lists, dictionaries, tuples and sets
Practical exercises are provided at the end of each topic, so you can practice what you learned during the lectures. The solution for every task is available for you to compare with your own implementations! We will use Google Colab on-line for the development of the examples, ensuring that you will not have problems with software installations or configurations on your local machine.
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Olá! Meu nome é Jones Granatyr e já trabalho em torno de 10 anos com Inteligência Artificial (IA), inclusive fiz o meu mestrado e doutorado nessa área. Atualmente sou professor, pesquisador e fundador do portal IA Expert, um site com conteúdo específico sobre Inteligência Artificial. Desde que iniciei na Udemy criei vários cursos sobre diversos assuntos de IA, como por exemplo: Deep Learning, Machine Learning, Data Science, Redes Neurais Artificiais, Algoritmos Genéticos, Detecção e Reconhecimento Facial, Algoritmos de Busca, Mineração de Textos, Buscas em Textos, Mineração de Regras de Associação, Sistemas Especialistas e Sistemas de Recomendação. Os cursos são abordados em diversas linguagens de programação (Python, R e Java) e com várias ferramentas/tecnologias (tensorflow, keras, pandas, sklearn, opencv, dlib, weka, nltk, por exemplo). Meu principal objetivo é desmistificar a área de IA e ajudar profissionais de TI a entenderem como essa tecnologia pode ser utilizada na prática e que possam visualizar novas oportunidades de negócios.
