- Docente: Guillaume Chanel
This lecture presents the basic notions of computer science and programming which are necessary to facilitate the analysis of data comonly obtained in the field of neuroscience (physiological, behavioral, DNA, ...). Python will be employed as the programming language as it is easy to learn, has a lot of tools available, and is one of the most used language for data analysis. First the architecture of computers will be introduced to demystify the machine and to situate the rôle of programming languages. Once these basic notions are presented a flip teaching approach will be adopted with exercices oriented toward neurosciences. First variables, opérations and functions will be introduced to be able to manipulate several data types. Storing and loading data from files will be covered to create standard data workflows. Finally, popular Python packages used in data analysis (numpy, pandas) and visualisation (matplotlib, seaborn) will be presented.
At the end of this course the students will be able to (by order of importance):
- enumerate 3 important components of a computer
- describe where and how data is stored in a computer
- install a python programming environement
- create programs calling several functions to manipulate data
- iterate on and build iterative data types
- read from and write to files
- manipulate matrices to store data such as images
- visualize data in the form of images, plots and bargraphs