Week 4: September 19 - 23¶
Loading Numerical Data from Files¶
Numerical data often needs to be loaded from a file for further processing and display. We learn how this can be done using NumPy.
Mauna Loa CO2 Data¶
Carbon dioxide measurements have been made daily at an observatory on the Mauna Loa volcano on Hawaii island since 1958. We obtain, load and plot this data.
Simple Linear Regression¶
The problem of finding a model which best fits a set of points arises naturally when we study the Mauna Loa CO2 data. We explore what a “good fit” means and how to find one.
Jupyter Notebook¶
- IPython “magics”: %timeit and %%timeit
Python¶
- More plotting options
NumPy¶
NumPy is the standard package for numerical computing in Python. It uses a new container for numerical data - the ndarray - that supports fast and efficient computation. NumPy also defines routines for accessing and manipulating these arrays.
- Array creation
- Array operations
- Vectorization
- Multi-dimensional arrays
- Array indexing and slicing
- loadtxt
- mean