ASTG Python Training Materials

This repository contains all the Python materials (mainly Jupyter notebook) we use for our training courses. They are meant to introduce the Python programming language (Python for Beginners) and Python related tools for Data Science, Machine Learning, Earth Science, Geospatial Analysis, etc. We do our best to make the materials self-contained. However, a few topics require large data files that only available during live presentations.

Here is a list of topics/tools we have materials on.

Jupyter Notebook

Introduction to Jupyter Notebook

Version Control

Introduction to Version Control with Git
Creating and Maintaining Git Repositories with Github

Python for Beginners

Basic Data Types
Data Structures
Conditional Statements
For Loops and While Loops
Functions and Modules
Basic Manipulation of Text Files

Data Science

NumPy
Visualization with Matplotlib
Pandas
Web Scraping (Requests, BeautifulSoup)

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

Best Practices

Python Coding Standards
Object Oriented Programming
Exception Handling
Packaging and Deployment

Optimization

List Comprehension
Optimizing Python Applications
Speeding you Application with Numba
Scaling your Application with Dask

Programming Tools

datetime Module
Python Decorators
Passing Parameters to Applications (argparse, click, configparser)

Visualization Tools

Cartopy
HoloViews
GeoViews

Tools for Earth Science

Tool for Accessing Scientific Data Format Files
- netCDF4
- h5py
- pyhdf
Xarray

Tools for Geospacial Analysis

Shapely
GeoPandas
MovingPandas

astg606/astg_pymaterials