This repository contains the folders with the content of each class. Please check them for the references of each meeting. The schedule goes as follows (always 10-12AM in room R42.3.103).
Session | Date | Discussant | Topic | References |
---|---|---|---|---|
Session 1 | 11/02/2020 | Glenn | Reproducible research, automation and introduction to the course | Slides / Gentzkow and Shapiro |
Session 2 | 18/02/2020 | Fabrizio | Jupyter (Anaconda), Git, GitHub, GitHub Desktop | Slides / QuantEcon |
Session 3 | 25/02/2020 | Federico | Variables, numbers, strings, lists, functions, tuples, sets, dictionaries, lists comprehension, for and while loops, if statements, other logical operators | Udemy - Section 1:"Intro to Python" and Section 2:"Python fundamentals", QuantEcon - An Introductory Example and Python Essentials |
Session 4 | 03/03/2020 | Alberto, Marco & Giampaolo | Loops and Functions (Part 2) | |
Session 5 | 10/03/2020 | Angela, Moritz & Thomas | APIs | Udemy - Section 16:"Interacting with APIs with Python" |
Session 6 | 17/03/2020 | Charles | Web Scraping, regular expressions, Selenium | Udemy - Section 10:"Advanced Python Development", Section 11:"Web Scraping with Python", Section 12:"Browser Automation with Selenium" |
Session 7 | 24/03/2020 | Cristina & Remi | Pandas | QuantEcon - Pandas and QuantEcon- DataScience |
Homework | Easter Break | |||
Session 8 | 21/04/2020 | Charles and Fabrizio | Discussion Easter projects | |
Session 9 | 28/04/2020 | Domenico | Numpy and Numba | QuantEcon - Numpy and QuantEcon - Numba |
Session 10 | 12/05/2020 | Scipy | QuantEcon - Scipy and Scipy.optimize | |
Session 11 | 19/05/2020 | Yasmine | Visualisation (matplotlib) | QuantEcon- Matplotlib |
Session 12 | 26/05/2020 | Glenn & Fabrizio | Intro to Machine Learning | QuantEcon DataScience and TBD |