Localhost is a great way to build your tech skills and hang out with the hacker community. If you'd like to attend the workshop all you need to do is register on this page and check the page again an hour before the event begins. You'll find the link to the Zoom as well as a bunch of resources for the workshop!
In the second workshop in this Python series, participants will learn how to use data cleaning techniques to improve the data set they retrieved from Twitter using regular expressions.
Powered by Capital One
We've partnered with the Basic TrAIning program from Capital One to bring you this workshop. Capital One is one of the largest banks in America and handles immensely complex financial transactions and their technology team is at the core of all of that.
Requirements / Prerequisites
No special software is necessary. Computers that can connect to the internet are all that’s required! The latest version of Google Chrome is the preferred browser for this workshop, but it’s not required.
Who can attend?
Locations have different requirements for who can attend. This location is open to the following:
First 30 Mins: Introductions and Icebreakers
1.5 Hrs: Instruction
Last 30 Mins: Wrapup
Links & Resources
Workshop Code - Data Cleaning
This Glitch project contains the source code for the workshop. The link is available on the registration page after you check in.
Unlocked when checked in.
Participant Slides - Data Cleaning
The link to the presentation we'll be presenting today that you'll need to complete the workshop