It has become increasingly common for neuroscientists to adopt more computational workflows, picking up computing skills here and there and teaching themselves how to code using online tutorials. However, the lack of a formal education in computer science and python programming means that there are certain gaps in their knowledge and practice that can lead to frustrations and poor reproducibility. In this unit, we aim to fill in those gaps and teach novice scientific programmers how to write research code that is less buggy, easier to read, and produces more reliable results.

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