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When & Where
Date: 
Tue, May 5, 2020 - 1:00 PM to 4:00 PM
Location: 
Remote (Zoom link below)
Description
Type: 
Zoom Link
 
To obtain the Zoom link for this workshop please click the link below:
 
After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.
 
If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.
 
If you have questions or problems with Zoom, please email: dlab-frontdesk@berkeley.edu
 
 
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

Knowledge requirements: Programming Fundamentals 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.
Primary Tool: 
Python
Details
Training Learner Level: 
Beginner
Training Host: 
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Remote, hands-on, interactive
Participant Technology Requirement: 
Laptop, Internet connection, Zoom account
Log in to register for this training.