Python Materials for Teaching

This repository contains all the Python materials we use for teaching.

Jupyter Notebook

Introduction to Jupyter Notebook

Python Fundamentals

Basic Data Types
Data Structures
Conditional Statements
For Loops and While Loops
Functions and Modules
Manipulating Text Files
Visualization with Matplotlib

Best Practices

Python Coding Standards
List Comprehension
Optimizing Python Applications
Packaging and Deployment

Scripting in Python

Transitioning from Python 2 to Python 3
Python Decorators
Passing Parameters to Applications (argparse, click, configparser)

Tools for Data Science

Numpy
Scipy
Pandas
Scientific Data Format Files (netCDF4 and h5py)
Serialization and Deserialization (pickle, json)
Data Retrieval
Introduction to Machine Learning - Basic Concepts of Machine Learning - Exploratory Data Analysis with Python - Regression Modeling with Scikit-Learn - Regression Modeling with Tensorflow - Supervised Modeling with Scikit-Learn
Parallel Data Processing with Dask (in preparation)

Multi-Threading and Multi-Processing

subprocess Module
threading Module (in preparation)
multiprocessing Module (in preparation)

Interoperability

Introduction to F2Py (in preparation)
Introduction to Cython (in preparation)

Version Control

Introduction to Git

Other Topics

Object Oriented Programming
Exception Handling
Overview of IO (manipulating various file formats: text, bin, cvs, nc4, hdf5, etc.)
datetime Module
xlrd Module