Advanced Software Development

Welcome to Code 401 Python! This is a class that builds on your fundamental Python programming knowledge to make you a proficient full-stack Python developer, and to prepare you for getting a job in today's Python job market!

In this class we are going to cover a lot of advanced web development topics.

The first 5 weeks of this course will be dedicated to learning how to write pythonic code using industry-standard tools. In this section of the course you will learn to create authenticated services with persistent storage. You will begin using containerization with Docker. On top of all that you'll learn basic React to maintain your front end JavaScript, HTML and CSS skills in order to meet the requirements of modern Full Stack developer.

In the second 5 weeks of this course we will be focusing on learning advanced web development skills using Django, a web framework. In this section of the course we will further you understanding of building web applications and the processes commonly used from the idea phase all the way through to deploying to a production platform. You will also be introduced to using Python for Data Science which is an area where Python is really heating up.

This course has been organized and structured to spread across 10 weeks. With the exception of project weeks, each week will have 5 lecture/lab units. The class schedule is Monday-Friday from 9am - 6pm. Lecture will take place from 9am - 12pm daily and lab time is scheduled from 1pm - 6pm.

Each day of class will include a new directory created named after the class number, and the topics covered that day, e.g. class-01-intro-to-python. After each lecture the code demos from class will be placed in a demo directory, with a correlated naming convention to make things easy to locate. There will also be a daily outline README that displays the high-level topics and objectives for that day.

All readings, homework, labs, and quizzes will be published, in Canvas, at least a week before they are assigned. All coding assignment instructions and materials will be organized into git repositories and will be published the day of the assignment. Most assignments are due the same evening. Assignments that have been submitted on time are eligible to be resubmitted for full points. Late assignments are eligible for 80% of points. Resubmits are allowed for up to two weeks following initial due date (or beginning of final project week if that comes first.)