FREE! Intro to Python: Part 1


Details
PLEASE READ THE ENTIRE EVENT DESCRIPTION.
This event is organized by Learn to Code and Hack Reactor.
Our meetup group is collaborating by promoting this event.
This event is 100% online.
Participants can be located anywhere in the world!
This event is FREE to attend!
A "Yes" RSVP on our meetup site does not confirm your reservation.
In order to participate, you must register here:
https://www.eventbrite.com/e/intro-to-python-part-1-live-online-tickets-140641999005?aff=ipo
Hurry! Slots are limited!
(The login link will be emailed to Eventbrite registrants right before the event begins.)
This event is for beginners who want to start learning the basics of programming with Python.
In part one, we will cover:
Getting started with programming
Overview of careers using Python
We'll jump into coding and cover the Python syntax and programming concepts for:
Variables
Strings
Numbers
Lists
Dictionaries
Conditionals
Loops
We'll then take our knowledge and solve a classic computer science problem together.
Return for part two, where we will cover:
Functions
Scopes
Working with libraries
We'll put together what we learned, making useful code we can re-use on different datasets.
How to Prepare:
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Install Google Chrome (any modern browser should work): https://www.google.com/chrome/browser/desktop/
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Sign up for a Google account if you don't already have one (We will be using an online code editor by Google)
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Have the Zoom Client for Video Meetings installed well before the webinar begins: https://zoom.us/download
Taught live online:
- Link to join the workshop will be provided to you once you RSVP.
You must RSVP on Eventbrite to receive the Zoom link
https://www.eventbrite.com/e/intro-to-python-part-1-live-online-tickets-140641999005?aff=ipo
About Your Instructor:
Andrew Means
I'm passionate about solving problems. I've leveraged this passion to explore innovative solutions to uncover new areas of opportunity that were previously unknown.
My background in software development, data engineering, and data science lets me solve these problems creatively and from different angles. From recognizing pain points and collecting data about the issue to creating a developer tool that when integrated would save thousands of engineering hours on manual processes.
I am on a mission to create beautiful experiences using a synthesis of data science, creative feature engineering, and scalable design.
To learn more about Galvanize, visit https://glv.nz/2NeUCve
About Galvanize:
Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each of the following:
Education - part-time and full-time training in web development, data science, and data engineering
Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth
Networking - events in the tech industry happen constantly on our campuses, ranging from popular Meetups to multi-day international conferences
To learn more about Galvanize, visit https://glv.nz/2NeUCve
To apply to the immersive, visit https://glv.nz/3aNQYQY

FREE! Intro to Python: Part 1