From the course: Faster pandas
Why performance matters
- [Instructor] Optimizing your code, means better experience for customers. If your application responds in less than one 10th of a second, or 100 milliseconds, your users will think everything happens instantly, and are more likely to keep using it. Optimized code also uses less resources, which means you can use fewer machines and less bandwidth. This will save you money, and that saved money can be used on other ways to improve your business. I've consulted at the company that brought me to convert research code written in pandas to go, in order to meet performance goals. Ended up optimizing the Python code to meet production goals and save the months of development time. While also with using a lot of risk. This company was not unique in its thinking. I've seen several companies take the same approach, wasting months of development, and introducing a lot of risk to the system. In this course, I'll show you how to make pandas fast, so research and production can use the same language and algorithms.
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