We will study some basics on **Linux** and **Python** for scientific computing.
We will work together on your personal projects during session 8.
Some sessions will be dedicated to practical exercises on
- Computation of integrals,
- Finite Difference methods,
- Gradient descent and
- Machine learning.
You will also have to work for this course on a "personal project" on an open
subject. One session will be dedicated to work on this project.
This course should be fun! Do not hesitate to interrupt and ask any questions!
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- Visit the page https://gricad-gitlab.univ-grenoble-alpes.fr (search for "Gitlab UGA" on Google)
- You can try to login. If you can't, just click on "explore". Search for "scientific" and click on "meige-legi / scientific-computing-m2-efm".
You have to find this project: https://gricad-gitlab.univ-grenoble-alpes.fr/meige-legi/scientific-computing-m2-efm
Save this page in your browser, you will need to come back to it many times!
- Read the `README.md`. There is an address at the end to open the slides: https://meige-legi.gricad-pages.univ-grenoble-alpes.fr/scientific-computing-m2-efm/.
- Open and study the presentation "First steps with Linux and Bash".
-Read the `README.md` and follow the instructions in the file `install.md`
-You can know follow the instructions in the file `install.md`