Giuseppe Accaputo

APPF1: Python - Data Analysis Essentials
University of Zürich • Autumn Semester 2018

Grundlagen der Programmierung für Nicht-Informatiker (University of Zürich, Autumn Semester 2018)

Welcome to the homepage for the «Python - Data Analysis Essentials» course, where you can download all the course materials (slides and various Jupyter notebooks).

You can find the Jupyter notebooks from the second course day on https://github.com/giu/appf1-python-data-analysis-essentials.

Course Dates

The course takes place on two Saturdays (24.11.2018 and 01.12.2018) from 09:00 AM to 04:00 PM in the course room Y10-E-25.
Content: Storing and operating on data with NumPy: one- and two-dimensional NumPy arrays, array indexing and slicing, NumPy's universal functions, aggregations, working with Boolean arrays; Using Pandas to get more out of data: working with DataFrame and Series objects, data selection, parsing data files with NumPy and Pandas, aggregating and grouping data in Pandas
Content: A short Python primer, an introduction to IPython and Jupyter notebooks, lists, dictionaries, sets, and tuples