Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing
articles matching Python — open any to read the full text,
or download the PDF or XML.
On social networks often circulate emotional letters from various authors that appear after their death. The supposed letter Albert Einstein wrote to his daughter Lieserl and the letter Simon Bolivar wrote to his cousin Fanny are two examples. A Python-developed tool is used to do a stylometric study to determine whether these authors were. The language styles of Einstein and Bolivar were described using eight and six letters, respectively. The results show that they never wrote these letters.
The rapid growth of data and scientific journals has led to the promotion of data-based hypotheses. Data-driven hypotheses can also be used to establish new scientific laws or confirm existing ones, demonstrating the foundation of this philosophy. To introduce this idea, this article presents a Python-based computational algorithm that can generate system dynamics equations without using working hypotheses.
Mathematical and computational studies of Covid-19 have underestimated the influence that other countries have on their daily records. To visualize this, a Granger causality analysis was implemented in Python to determine if the cases registered in Brazil, Chile, Colombia, Ecuador, Panama, Paraguay, Peru and the USA have any effect on Venezuela, and between all of them. Finally, this paper highlights the need to incorporate causality analysis employing only the cases of Covid-19 to improve mid and long term forecasts.