.. APAD course documentation master file, created by sphinx-quickstart on Mon Feb 1 09:35:29 2021. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. APAD course's content ===================== This booklet support part of the course https://e-l.unifi.it/course/view.php?id=13262 about *Algorithms for Programming and Analysis of Data*, taught at the University of Florence. It is based on https://jakevdp.github.io/PythonDataScienceHandbook/ and the content taken from there, both text and code, is reported unchanged to respect the original author's license and I deserve no merits for it. The other stuff (mainly the introduction and the last two chapters) are of mine, so blame me for errors occurring there. The content that we will present is versioned at https://github.com/massimo-nocentini/APAD-course; moreover, it can be read either on slides .. hlist:: :columns: 3 * `Introduction <_static/introduction.slides.html>`_ * `Jupyter notebooks <_static/jupyter-notebooks.slides.html>`_ * `numpy <_static/numpy.slides.html>`_ * `pandas <_static/pandas.slides.html>`_ * `matplotlib <_static/matplotlib.slides.html>`_ * `networkx <_static/networkx.slides.html>`_ * `Gotchas <_static/gotchas.slides.html>`_ or on notebooks .. hlist:: :columns: 3 * `Introduction `_ * `Jupyter notebooks `_ * `Core concepts `_ * `Exercises `_ * `numpy `_ * `pandas `_ * `matplotlib `_ * `networkx `_ * `Gotchas `_ or, eventually, on this booklet according to the TOC .. toctree:: :maxdepth: 3 introduction.rst jupyter-notebooks.rst core-concepts.rst exercises.rst numpy.rst pandas.rst matplotlib.rst networkx.rst gotchas.rst oo.rst .. Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`