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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