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classes's Introduction

Class Schedule

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 Classes, handling errors (including try and except), files Udemy - Section 4:"Object-Oriented Programming with Python", Section 5:"Errors in Python", Section 6:"Files in Python", QuantEcon - OOP I, Building Classes and Debugging
Session 5 10/03/2020 Moritz 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 Discussion Easter homework
Session 9 28/04/2020 Numpy and Numba QuantEcon - Numpy and QuantEcon - Numba
Session 10 12/05/2020 Scipy QuantEcon - Scipy and Scipy.optimize
Session 11 19/05/2020 Visualisation (matplotlib) QuantEcon- Matplotlib
Session 12 26/05/2020 Intro to Machine Learning QuantEcon DataScience and TBD

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Contributors

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