Course Number
Primary Program
Computer Science
Course Format

This course will introduce you to a wide range of advanced topics in Python; the skills most developers don’t learn until they’ve been in the workforce. The material has been designed to expose you to common techniques and tools you’ll be able to exercise immediately. It is intended for students who have complete 605.206, Intro to Python who are looking to advance their skills by solving problems across a wide variety of topics: web programming, databases, concurrent programming, cloud computing, machine learning, cyber security, and even quantum computing. You’ll be introduced to the most current and most popular technologies including: BeautifulSoup, PyCharm/VSCode, Linux CLI, Docker, Git, AWS, and Flask, as well as a range of Python libraries including: Dask, Dash, Pylint, Pytest, Sphinx, Psychopg3, Sqlalchemy, SciPy, SciKit-Learn, regex, Networkx,¬ numpy, Pytorch, Spacy, Streamlit, Qiskit, and more! Each concept is accompanied by real code samples that will be explained in-detail and the assignments will present you with interesting scientific problems to enable you to practice your Python skills for the purpose of solving real, complex problems. The course is textbook-free and provides several hand-chosen readings to supplement the lecture materials. Upon completion of the course, you should have the knowledge, skills, and tools to take a given problem and comfortably execute a solution using Python and a supporting ecosystem of technologies. Not for graduate credit.

Course Prerequisite(s)

EN.605.206 Introduction to Programming using Python or equivalent course.