Python Fundamental: Parts 1-4

Instructors:

Aniket Kesari

Aniket is a postdoctoral scholar at the D-Lab. He earned his PhD from Berkeley Law, where he specialized in Law & Economics. He also holds a BA from Rutgers University – New Brunswick in Political Science and History, and is a JD candidate at Yale University. His research focuses on privacy and cybersecurity law, and he is generally interested in using data science to tackle public policy problems. During his graduate career, he was a Google Public Policy Fellow, a Data Science for Social Good (DSSG) Fellow at the University of Chicago, and a Technology Policy Analyst Intern at GitHub.

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Donald Max Ziff

Donald "Max" Ziff is a Master's student in the School of Information and has a Ph.D. in Computer Science from the University of Chicago. He is currently Senior Data Engineer at Tripit (part of SAP Concur), with previous experience at Altiscale, Google and Documentum. He has deep experience in data management, processing and cleaning, as well as Natural Language Processing, Machine Learning and Computers in the Humanities.

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Renata Barreto

Renata is a JD / PhD candidate at Berkeley, where her research focuses on the harms caused by machine learning models on marginalized groups. She is trained in computational social science and has interned at Twitter and Facebook. She enjoys learning both programming and human languages.

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When & Where

Date:

Tue, January 12, 2021 - 1:00 PM to 4:00 PM

Wed, January 13, 2021 - 1:00 PM to 4:00 PM

Thu, January 14, 2021 - 1:00 PM to 4:00 PM

Fri, January 15, 2021 - 1:00 PM to 4:00 PM

Location:

Remote (Zoom information forthcoming)

Description

Type:

Workshop

Overview

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 1 Topics:

Running Python
Jupyter notebooks
Variables assignment
Types conversion
Strings
Built-ins

Part 2 Topics:

Lists
Loops
Conditionals
Functions
Scope

Part 3 Topics:

Dictionaries
Files
Libraries
Errors
Comprehensions

Part 4 Topics:

We will apply the skills learned during previous sessions to a real world social science example.

Knowledge requirements:

Programming Fundamentals or equivalent prior knowledge

Technology requirements:

Laptop required.
WindowsWindows machines please download and go through the installer for GitBash. Then download Anaconda. Click the download for Python 3.6. Run the installer.
Mac Mac machines please download Anaconda. Click the download for Python 3.6 and the Graphical Installer. Run the installer.

Please also download the Github repository with the materials for this workshop. Click here, click on the green button labeled "Clone or download", and select "Download ZIP." Then unzip the downloaded file and place the folder on your desktop.

Link:

Keyword:

Software Tools, Python

Primary Tool:

Python

Details

Training Learner Level: