Python FUN!damentals: Part 3

Instructors:

Soumya Gupta

Soumya Gupta is a graduate student in Industrial Engineering and Operations Research department. She is currently working on Non-Intrusive Load Monitoring using neural networks to predict residential energy consumption profile. She has also worked on automated email response system and chatbot using LSTM.

Read more about Soumya Gupta

When & Where

Date:

Mon, March 19, 2018 - 9:00 AM to 12:00 PM

Location:

Barrows 356: D-Lab Convening Room

Description

Type:

Workshop

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 3 Topics:

Dictionaries
Files
Libraries
Errors
Comprehensions

Knowledge requirements: Python FUN!damentals: Parts 1 and 2 or equivalent prior knowledge

Registration note: To participate in multiple parts of this series, please be sure to register for each day separately.

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.

Keyword:

Software Tools, Python, Quantitative Analysis

Details

Training Host:

D-Lab

Format Detail:

hands-on, interactive

Intelligent research design for data intensive social science

Python FUN!damentals: Part 3

Services

Instructors:

Soumya Gupta

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