Ciência de Dados com Reprodutibilidade usando Jupyter

Abstract

Data Science has become a trending research topic in Computer Science due to the growing interest in extracting knowledge from different data sources. In such a context, Jupyter Notebook has consolidated itself as one of the main tools used by data scientists to perform exploratory data analysis in a fast and straightforward way, with a high potential for code reproduction. Hence, this JAI aims to present Jupyter with reproducibility for developing Data Science projects. The content is tailored for students and professionals with some programming experience. In particular, we first introduce Jupyter and its general use to develop solutions for Data Science. Then, we present Jupyter advanced topics and address ways to promote open science. Finally, this JAI overviews Data Science with Jupyter Notebooks by combining concepts and theoretical foundations with practical examples and real-world data.