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Python Level 3 is your passport to a deeper understanding of Python. We will start by reviewing the basics – lists, loops, functions, etc. – before moving on to more advanced features. We then go over more advanced functions and function algorithms, classes, and JSONS, which segways us into APIs and programs using free APIs. We finish off with an introduction to data statistics and science with Python, using Pandas’ DataFrames, Numpy, and Matplotlib’s Pyplot.
Age 13+, PY02 or Instructor Permisssion
These are examples of projects that students create as they grow their skills in [PYTHON 3]
Course Overview, Functions and Imports Review
Review intermediate Python coding skills with imports and functions including outputs and kwargs.
Lists and Dictionaries Review
Review List and Dictionaries, including putting these two data structures together.
File Input and Output
Intro to APIs
Start learning about Application Programming Interfaces by digging into the Google Translate API and some other examples.
Google Translate API
Learn how to make API calls through the internet and write a program that can translate text!
Bing Image API
Today we'll explore a new API for getting images from the Internet via Bing.
First API Project
Start using what we've learned in this unit so far to create your own program using APIs.
Finishing Project 1
Finish your first API project
Creating Google API Project
Start to plan our next project, which will focus on using the various Google APIs.
Learn to use the Gmail API.
Another Google API
Learn to use another Google API like Google Drive.
Second API Project
Start using what we've learned in the second half of this unit to create a program using the Google APIs.
Finishing Project 2
Finish your second API project
We may use this lesson to finish the unit on APIs, or start to dive into Data Analysis!
CSV and Pandas
Learn the basics of working with comma-separate value (CSV) files and the Pandas library.
We'll take our first steps towards visualizing data by using the powerful matplotlib library to draw graphs and charts.
Putting it all together - Google Sheets API to Matplotlib graph
Synthesize what we've learned so far by building our API and data analysis skills into the same project.
Looking to the Future
Wrap up any demos we haven't finished and discuss how we can continue using these skills for applications like data science and machine learning.