Scholarship: Harvard University – Using Python for Research
Take your introductory knowledge of Python programming to the coming position and learn how to use Python 3 for your exploration.
What you ’ll learn
Python 3 programming basics (a review)
Python tools (e.g., NumPy and SciPy modules) for exploration operations.
How to apply Python exploration tools in practical settings.
Course description
This course islands the gap between introductory and advanced courses in Python. While there are numerous excellent introductory Python courses available, most generally don't go deep enough for you to apply your Python chops to probe systems. In this course, after first reviewing the basics of Python 3, we learn about tools generally used in exploration settings.
Using a combination of a guided preface and further independent in- depth disquisition, you'll get to exercise your new Python chops with colorful case studies chosen for their scientific breadth and their content of different Python features.
This run of the course includes revised assessments and a new module on machine literacy.
Course figure
Python BasicsReview of introductory Python 3 language generalities and syntax.
Python Research Tools Preface to Python modules generally used in scientific calculation, similar as NumPy.
Case StudiesThis collection of six case studies from different disciplines provides openings to exercise Python exploration chops.
Statistical LearningExploration of statistical literacy using the scikit- learn library followed by a two- part case study that allows you to further exercise your coding chops.
