NumPy Techniques and Practical Examples
The NumPy library is a Python library used for scientific computing. It provides you with a multidimensional array object for storing and analyzing data in a wide variety of ways. In this video course, you’ll see examples of some features NumPy provides that aren’t always highlighted in other tutorials.
In this video course, you’ll learn how to:
- Create multidimensional arrays from data stored in files
- Identify and remove duplicate data from a NumPy array
- Use structured NumPy arrays to reconcile the differences between datasets
- Analyze and chart specific parts of hierarchical data
- Create vectorized versions of your own functions
What’s Included:
- 14 Lessons
-