Parallel programming is key to writing faster and more efficient applications. This course, the second in a series from instructors Barron and Olivia Stone, introduces more advanced techniques for parallel and concurrent programming in Python. Barron and Olivia explain concepts like condition variables, semaphores, barriers, and thread pools in a fun and informative way, relating them to everyday activities you perform in the kitchen. They also explain how to evaluate your code’s performance and design more efficient parallel programs from the start with techniques like partitioning. To cement the ideas, they demo them in action using Python—closing the course with a variety of coding challenges. Each lesson is short and practical, driving home the theory with hands-on techniques.
Learn More- Career Communities
- Identity Resources
- Career Planning
- Access Career Tools
- Build Skills at Denison Edge
- Build Your Resume and Cover Letter
- Search for an Internship or Job
- Network with Confidence
- Leverage Winter Break
- Participate in the Denison Internship Program
- Prepare for an Interview
- Plan for Graduate School
- Research Industries and Companies
- Utilize Financial Resources
- Alumni
- Academic Partnerships
- Meet The Team
- Student Employment