ytmimi / Intro-To-Python

Python Course

When

April 16th - June 18th Tuesdays from 6:15-7:30

What to Expect

• This will be a 10 week course covering the basics of Python
• The goal of this course isn't to turn you into a developer, but to help you add another useful tool to your arsenal
• By the end of this course you'll hopefully have the skills needed to build custom tools to help you with your day to day work.

Syllabus

Week 1) The basics

• Topics

  • installation
  • comments
  • variables
  • data types (int, str, float, bool)
  • data structures (lists, sets, tuples, dicts)
  • mathematical operators
  • logical operators

• Helpful Links

  • What Can I do with Python
  • Operators and Expressions
  • Strings
  • f-strings
  • Lists and Tuples
  • Dictionaries
  • Sets
  • PEP8 style guide

Week 2) The basics (cont)

• Topics

  • Looping (for and while)
  • Comprehensions
  • Functions
  • Lambdas
  • Reading and Writing to (text) files

• Helpful Links

  • For loops
  • While loops

Week 3) The basics (cont)

• Topics

  • Error Handling (try, excep, else finally)
  • Classes (init, self, methods)
  • Importing packages + useful standard library packages (os, sys, json)

• Helpful Links

  • Exceptions

Week 4) Working with Tabular Data (csv + excel)

• Topics

  • Handling csv Files
  • Handling Excel Files

• Helpful Links

  • csv files

Week 5) Working with Tabular Data (cont)

• Topics

  • Working with Pandas
  • Basic visualizations

• Helpful Links

  • Matplotlib Guide

Week 6) Intermediate Topics

• Topics

  • Decorators
  • Context Managers

• Helpful Links

  • Closures
  • First Class Functions
  • Decorators
  • Context Managers

Week 7) Interacting With The Web

• Topics

  • Learning about the Requests Library
  • Basic URL Checker Project
  • Working with API's (Open Weather API setup)

• Helpful Links

  • Requests Blog Post
  • Requests Video

Week 8) Interacting with the Web (cont)

• Topics

  • Working with API's (Open Weather API project)
  • Web Scraping

• Helpful Links

  • N/A

Week 9) Automating Emails (Gmail)

• Topics

  • Gmail Automation
  • Go Over Capstone Project Ideas

• Helpful Links

  • Sending Emails

Week 10) Final Class

• Topics
  • Capstone Project Walkthrough
  • Next Steps

Additional Resources:

• Pycon Talks
• Python Books