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