Module Learning Outcomes
By the end of the module, students are expected to:
- Use NumPy to create ndarrays with
np.array() and from functions such as np.arange(), np.linspace() and np.ones().
- Describe the shape, dimension and size of an array.
- Identify null values in a dataframe and manage them by removing them using
.dropna() or replacing them using .fillna().
- Manipulate non-standard date/time formats into standard Pandas datetime using
pd.to_datetime().
- Find, and replace text from a dataframe using verbs such as
.replace() and .contains().