Writing Efficient Python Code

Data scientists should spend their time extracting actionable insights from data and not waiting for the code to finish running. This will allow you to reduce the time it takes to run your Python code, and also save computational resources. This will enable you to pursue your passions in Data Scientist. This course will show you how to make your code faster, cleaner, more efficient, and take advantage of Python's built-in data structures, functions, and modules. How to time and profile code to find bottlenecks. Then, you'll practice eliminating bottlenecks using Python's Standard Library or NumPy. After completing this course, you will be able write Python code efficiently.