Introduction to scientific computing with PythonInstallationWindows and macOSInstall Anaconda for Windows or macOS. For TensorFlow on recent Mac notebooks, you may need this workaround (thanks to P. Liautaud). Ubuntu/DebianYou can either install Anacoda for Linux or (favorite option) install python3 with its package manager pip: sudo apt-get install python3 python3-pip spyder3 ipython3 Before installing a package, make sure that you have the latest version of pip: sudo pip3 install --upgrade pip Then, install the required packages manually: sudo pip3 install jupyterlab numpy scipy matplotlib pillow scikit-learn seaborn pandas statsmodels cvxopt ipympl tensorflow To launch JupyterLab, write in a shell: jupyter-lab TroubleshootingIf you have trouble installing a package, you can use Ubuntu/Debian package manager: sudo apt-get install python3-[package_name] If you have trouble performing linear regression with StatsModels, update the package patsy: sudo pip3 install --upgrade patsy If the trouble concerns a “distutils installed project”, you can use a downgraded version of pip: sudo pip3 install --upgrade --force-reinstall pip==9.0.3 sudo pip3 install [package_name] --disable-pip-version-check sudo pip3 install --upgrade pip If you have a trouble with interactive plots in JupyterLab (in particular with ipympl), try: sudo pip3 install --upgrade jupyterlab ipympl # Install nodejs with those two lines or have a look at https://nodejs.org/en/download/ wget -qO- https://deb.nodesource.com/setup_12.x | sudo -E bash - sudo apt install -y nodejs sudo jupyter labextension install @jupyter-widgets/jupyterlab-manager sudo jupyter labextension install jupyter-matplotlib Material
ScheduleFriday
Wednesday
Thursday
Friday
Exam 2023The exam will take place on Friday September 15, 2022, 9h-10h.
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