Open AccessThe experience of teaching introductory programming skills to bioscientists in Brazil
Author(s) -
Luíza Zuvanov,
Ana Letycia Basso Garcia,
Fernando Henrique Correr,
Rodolfo Bizarria,
Aílton Pereira da Costa Filho,
Alisson Hayasi da Costa,
Andréa T. Thomaz,
Ana Lúcia Mendes Pinheiro,
Diego Riaño-Pachón,
Flávia Vischi Winck,
Franciele Grego Esteves,
Gabriel Rodrigues Alves Margarido,
Giovanna Casagrande,
Henrique Cordeiro Frajacomo,
Leonardo Martins,
Mariana Feitosa Cavalheiro,
Nathalia Graf Grachet,
Raniere Silva,
Ricardo Cerri,
Rommel Thiago Jucá Ramos,
Simone Daniela Sartório de Medeiros,
Thayana Vieira Tavares,
Renato Santos
Publication year - 2021
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1009534
Subject(s) - python (programming language) , computer science , covid-19 , mathematics education , world wide web , data science , medical education , psychology , infectious disease (medical specialty) , medicine , programming language , disease , pathology
Computational biology has gained traction as an independent scientific discipline over the last years in South America. However, there is still a growing need for bioscientists, from different backgrounds, with different levels, to acquire programming skills, which could reduce the time from data to insights and bridge communication between life scientists and computer scientists. Python is a programming language extensively used in bioinformatics and data science, which is particularly suitable for beginners. Here, we describe the conception, organization, and implementation of the Brazilian Python Workshop for Biological Data. This workshop has been organized by graduate and undergraduate students and supported, mostly in administrative matters, by experienced faculty members since 2017. The workshop was conceived for teaching bioscientists, mainly students in Brazil, on how to program in a biological context. The goal of this article was to share our experience with the 2020 edition of the workshop in its virtual format due to the Coronavirus Disease 2019 (COVID-19) pandemic and to compare and contrast this year’s experience with the previous in-person editions. We described a hands-on and live coding workshop model for teaching introductory Python programming. We also highlighted the adaptations made from in-person to online format in 2020, the participants’ assessment of learning progression, and general workshop management. Lastly, we provided a summary and reflections from our personal experiences from the workshops of the last 4 years. Our takeaways included the benefits of the learning from learners’ feedback (LLF) that allowed us to improve the workshop in real time, in the short, and likely in the long term. We concluded that the Brazilian Python Workshop for Biological Data is a highly effective workshop model for teaching a programming language that allows bioscientists to go beyond an initial exploration of programming skills for data analysis in the medium to long term.