Psychopy.gui: various basic functions, including timing & experiment termination re: various basic functions, including timing & experiment termination However, we actually haven’t checked out what modules/ functions PsychoPy has. Thus, we will add them at the beginning as we go along! Please note, that we will go through a realistic example of coding experiments in python and thus might not all modules/ functions we will actually need when we start. Comparably to jupyter notebook, we will do that at the beginning of our script. So, what’s the first thing we usually do? That’s right: importing modules and functions we need. While the transition from jupyter notebooks to python scripts might seem harsh at first, it’s actually straight-forward: the steps we conducted/ commands we run in an incremental fashion will also be indicated/ run in an incremental fashion here, just within one python script line-by-line. If you don’t get an import error, at least the basic installation should be ok!Ĭool, we are now ready to actually do some coding! As said before we will do that in our experiment.py script. Machine learning to predict age from rs-fmri Structural connectivity and diffusion imaging Nilearn GLM: statistical analyses of MRI in Pythonįunctional connectivity and resting state Using Python for neuroimaging data - Nilearn Using Python for neuroimaging data - NiBabel Visualization of different data types with python Introduction to scikit-learn & scikit-image Introduction VII - Introduction to Python IIIĮxperimentation I - Introduction to PsychoPy Iĭata analyzes I - basics in data handlingĭata analyzes II - data visualization and analyses Introduction VI - Introduction to Python II Introduction V - Introduction to Python - I Introduction IV - the jupyter ecosystem & notebooks Introduction II - the (unix) command line: bash
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