Code 401: Python Core Syllabus

Course Information

• Course Level: Code 401
• Certificate: Advanced Software Development In Python

Course Prerequisites

• Code 102
• Code 201
• Code 301

Students with previous relevant or equivalent experience can test out of this requirement in their application.

Course Description

Learn the language used at NASA, Instagram, Netflix, and other companies large and small – as you build professional-grade apps in Python.

Throughout this intensive course, you will study professional software development techniques and practices as you advance your skills in Python.

Required Materials

Suggested Resources

• Django for Beginners
• A Common Sense Guide to Data Structures and Algorithms

Program Learning Outcomes

Students will learn to write clean, well-tested, advanced Python code using industry-standard software engineering patterns. They will study the foundational structures of programming, from object-oriented principles to advanced topics such as Django, Docker, and Data Science.

Student Learning Outcomes

Upon satisfactory completion of this course, a student should be able to:

Describe and Define

• Fundamentals of Python
• Object-Oriented Programming
• Structural Design Patterns
• Client / Server Architecture
• Test Driven Development
• Unit, Integration, and End-to-End Testing
• SQL Databases
• Restful API
• Authentication / Authorization
• Code Readability and Maintainability
• Version Control
• Debugging
• Utility First CSS
• Dependency Injection
• Continuous Integration and Deployment
• Serverless
• Jupyter Notebooks

Execute

• Write "pythonic" code.
• Domain modeling of real-world concepts using object-oriented programming.
• Configure and perfrom CRUD on PostgreSQL Databases.
• API building using contemporary frameworks and design patterns.
• Writing, publishing, and maintaining software documentation.
• Building User Interfaces using the Next.js and Tailwind CSS.
• Test driven development with integration and unit tests.
• Host Jupyter Notebooks on Kaggle.

Course Schedule

Module 1

Class #	Topic	Lab
01	Intro to Python	Ensuring our computers and minds are prepared for Python
02	Modules and Testing	Test Driven Development
03	File IO & Exceptions	Interacting with file system and handling when things go wrong
04	Object Oriented Programming	Modeling problem domain with classes
05	Linked Lists, Big O, Resume Workshop	Linked List Implementation

Module 2

Class #	Topic	Lab
06	Guided Project 1	Assessing risk and prioritizing features
07	Guided Project 2	Automating behavior verificiation
08	Guided Project 3	Handling cheaters and losers
09	Guided Project 4	Wrapping up with a Bot
10	Stacks, Queues, Personal Pitch Workshop	Stack, Queue Implementations

Module 3

Class #	Topic	Lab
11	Intro to Data Science	Scientific computing with Numpy
12	Data Analysis	Data Frames with Pandas
13	Linear Regressions	Machine Learning with scikit-learn
14	Data Visualization	Visualizing statistical data with Seaborn
15	Trees, Job Search Workshop	Tree Implementation

Module 4

Class #	Topic	Lab
16	Serverless Functions	Computing in the cloud
17	Web Scraping	Automating collecting data from web page
18	Cryptography	Cracking the Caesar cipher
19	Automation	Getting machine to handle the boring stuff
20	Project Kickoffs	Team Setup, Ideation, Wireframes, Tooling

Module 5 - Midterm Project

Class #	Deliverables
16	Wireframes, User Stories, Architecture Plan, DevOps, Documentation, Agreements
17	Phase 1
18	MVP
19	Final Polish, Presentation Practice
20	Live Project Presentations

Module 6

Class #	Topic	Lab
26	Intro to Django	Build better web apps more quickly with less code
27	Django Models	Object Relational Mapping
28	Django CRUD and Forms	Create, Read, Update, and Delete
29	DjangoX	Customizing Django to make it your own
30	Hash Tables, Behavioral Interviewing	Hash Tables Implementation

Module 7

Class #	Topic	Lab
31	Django REST Framework & Docker	Leveling up Django for APIs & Containerization
32	Permissions & Postgresql	Controlling access to your API & enterprise Database
33	Authentication & Production Server	JSON Web Tokens & Moving beyond development server
34	Back End Deployment	Moving API to the cloud
35	Graphs, Technical Interviewing	Graph Implementation

Module 8

Class #	Topic	Lab
36	DS&A Review	Data Structures & Algorithms Workshop
37	React + Next.JS	Intro to Next.js & Tailwind CSS
38	React - Forms and Conditional Rendering	Projecting application state
39	Resource Fetching & Authentication	Consuming Authenticated Resources
40	Personal Presentation	Final Exam Prep

Module 9

Class #	Topic	Lab
41	Full Stack Deployment	Deploying Front End, Back End and Database
42	Pythonisms	Generators, Iterators and Magic Methods
43	Open Source	Research, contribute to OSS
44	Ethics	Final Exam
45	Project Kickoffs	Team Setup, Ideation, Wireframes, Tooling

Module 10 - Capstone Project

Class #	Deliverables
46	Wireframes, User Stories, Architecture Plan, DevOps, Documentation, Agreements
47	Phase 1
48	MVP
49	Final Polish, Presentation Practice
50	Live Project Presentations