Sometimes, the difference between a good Python application and a great one isn’t found in the code; it’s in the services that support your software. In this course, instructor Miki Tebeka introduces Python optimization tips and techniques to develop and run more efficient sites and applications. Learn how to find bottlenecks, stress test your code, use caching algorithms, “cheat” effectively, distribute work on one or more machines, and pick the right transport and encoding methods. He also introduces load balancers and powerful server frameworks for HTTP and TCP, and shows how to serve static content. Plus, learn how to monitor performance of your projects and set up alerts, so you’ll know when a system or service fails.
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