Advanced Software Development with Python

Course Overview

Advanced Python is a thorough exploration of the multiple areas where Python is widely used. Students will be learning high level engineering principles through developing applications and libraries over the course of 8 Modules, extending over 2 sections

The first half of the course is made up of 4 modules focusing on

Python Basics

• Class 1 : Intro to Python
• Class 2 : Modules and Testing
• Class 3 : File IO & Exceptions
• Class 4 : Object Oriented Programming
• Class 5 : Career Coaching / DSA - Linked Lists

Python Advanced : Guided Project

• Class 6 : Guided Project 1
• Class 7 : Guided Project 2
• Class 8 : Guided Project 3
• Class 9 : Guided Project 4
• Class 10 : Career Coaching / DSA - Stack & Queues

Tour of Data Science

• Class 11 : Intro to Data Science
• Class 12 : Data Analysis
• Class 13 : Linear Regressions
• Class 14 : Data Visualization
• Class 15 : Career Coaching / DSA - Trees

Advanced Topics

• Class 16 : Serverless Functions
• Class 17 : Web Scraping
• Class 18 : Cryptography
• Class 19 : Automation
• Class 20 : Midterm Project Kick Off

The second half of the course is comprised of 4 modules, focusing on

Django

• Class 26 : Intro to Django
• Class 27 : Django Models
• Class 28 : Django CRUD and Forms
• Class 29 : Django Custom User
• Class 30 : Career Coaching / DSA - Hash Tables

APIs & Containerization

• Class 31 : Django REST Framework & Docker
• Class 32 : Permissions & Postgresql
• Class 33 : Authentication & Production Server
• Class 34 : Back End Deployment
• Class 35 : Career Coaching / DSA - Graphs

Consuming APIs with ReactJS

• Class 36 : DSA - Review
• Class 37 : React 1
• Class 38 : React 2
• Class 39 : React 3
• Class 40 : Career Coaching

Tying it All Together

• Class 41 : Front End Deployment
• Class 42 : Pythonisms
• Class 43 : Ethics
• Class 44 : Open Source Software
• Class 45 : Final Project Kick Off