# UW Atmos IPython Notebooks

### Analysis

Array Ordering and a simple SVD example

Numpy and Scipy for data analysis (WIP)

s2_plotting_netcdf.py

seasonal_cycle.py

### Basic Python

Differences between Matlab and Python

Differences between Python 2 and 3

For, While, and If

Importing Modules

Installing Python

Strings, Lists, Tuples, and Dictionaries

s1_function_example.py

s2_import_example.py

### Best Practices

Anatomy of a Python module

Version Control and Git

### Courses

#### ATMS552

Basic Statistics

Comparison of Bernoulli RVs with Central Limit Theorem

Construction, frequency and impulse response of Butterworth filters

CrossSpectral_Nino3_NPI

DFT_gauss

K-means clustering with cities dataset

Kalman2.v3

MCA_PSSTA_USTA

Nino1

Nino2

Nino3

PCA of tropical Pacific monthly SSTA dataset (Not finished)

PCA_SSTA

PCA_cities

Regression Example

Sequential state estimation of a simple system x_(n+1) = ax_n

Serially-Correlated Data with Lag-1 Autocorrelations

USTA_regress

_Notes on ATMS 552 Scripts

music

music2

runningmean - DFT Analysis of FIR filters

wavelet_turbulence.v3

## External Notebooks

J.R. Johansson's Lectures on Scientific Computing with Python

In particular the notebooks on plotting, numpy and scipy.