Scientific Python and Julia tutorials

Tool Julia Beginner 50 min

HypothesisTests.jl from the ground up: do two samples really differ?

Afterwards you can describe two samples in Julia, test whether they differ with HypothesisTests.jl, and report the effect size with a confidence interval.

Statistics Cross-disciplinary

Tool Julia Beginner 35 min

DataFrames.jl from the ground up: a week of temperature logs

Afterwards you can read a table into a Julia DataFrame, select by column and condition, handle missing values deliberately, and average by hour or group.

Data wrangling Cross-disciplinary

Concept Julia Beginner 30 min

The Fourier transform in Julia: asking a signal how much of each frequency it contains

Afterwards you can say what a Fourier transform computes, read an amplitude spectrum, and tell how long a record you need to separate two nearby frequencies.

Signal processing Cross-disciplinary

Recipe Julia Beginner 5 min

Fit a curve with error bars and draw a confidence band in Julia

Afterwards you can fit a model to data with known uncertainties using LsqFit, report parameter errors you can defend, and shade a confidence band.

Curve fittingStatistics Cross-disciplinary