Survey of python for GIS applications

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is python?

Lecture 3: Why use python?

Lecture 4: What can you do with Python?

Lecture 5: What can you do with python? – Part 2 GIS

Lecture 6: About Python

Chapter 2: Installing Python

Lecture 1: Getting started

Lecture 2: Installing Python on MacOS

Lecture 3: Installing PyCharm on MacOS

Chapter 3: Getting started with Python

Lecture 1: Boolean and numeric variables

Lecture 2: Converting between variable types

Lecture 3: Strings

Lecture 4: String methods

Lecture 5: String formatting

Chapter 4: Operators and expressions in Python

Lecture 1: Operators Part 1

Lecture 2: Operators Part 2

Lecture 3: Expressions

Chapter 5: Complex data structures

Lecture 1: Lists

Lecture 2: Working with lists

Lecture 3: Tuples

Lecture 4: Sets

Lecture 5: Working with sets

Lecture 6: Dictionaries

Lecture 7: Working with dictionaries

Lecture 8: Review of complex data structures

Chapter 6: Program control

Lecture 1: The if statement in Python

Lecture 2: While loops in Python

Lecture 3: For loops in Python

Lecture 4: Generators

Chapter 7: User Input

Lecture 1: The input() function

Lecture 2: Command line arguments

Lecture 3: Working with user input

Chapter 8: Functions

Lecture 1: Introduction to functions

Lecture 2: Function example

Lecture 3: Function arguments

Lecture 4: Map and filter functions

Lecture 5: Lambda functions

Lecture 6: Nested functions, decorator functions, and scope

Chapter 9: Error Handling in Python

Lecture 1: Error Handling in Python

Lecture 2: Error handling – Part 2

Chapter 10: Modules

Lecture 1: What is a module?

Chapter 11: Objects in python

Lecture 1: What is an object?

Lecture 2: Defining a custom object class

Lecture 3: Object example

Lecture 4: String representation of an object

Lecture 5: Object inheritance

Lecture 6: Private properties and methods

Lecture 7: Principles of object oriented programing

Chapter 12: Python packages, virtual environments, and documentation

Lecture 1: What is a package?

Lecture 2: Working with third party packages

Lecture 3: Virtual Environments

Lecture 4: Virtual Environments – Part 2

Lecture 5: Documentation in python

Chapter 13: Formal testing in python

Lecture 1: The unittest module

Lecture 2: Writing a test suite for the Point class

Chapter 14: Working with the operating system and files

Lecture 1: The OS module

Lecture 2: The OS.path submodule

Lecture 3: Reading and writing plain text files

Lecture 4: Reading and writing plain text files – Part 2

Lecture 5: Creating a word count application

Lecture 6: Reading and writing CSV files

Lecture 7: Reading and writing CSV files – Part 2

Lecture 8: Word Count Application – Part 2

Lecture 9: Working with JSON data

Lecture 10: Working with JSON data – Part 2

Lecture 11: Word Count Application – Part 3

Lecture 12: Working with shape files

Lecture 13: Working with shapefiles – Part 2

Lecture 14: Application: Shapefile to GeoJSON converter

Chapter 15: Working with database data

Lecture 1: Working with database data

Lecture 2: SQLite example

Lecture 3: PostgreSQL and PostGIS

Chapter 16: The python data science stack

Lecture 1: Introduction

Lecture 2: Jupyter Notebooks

Lecture 3: Numpy

Lecture 4: Matplotlib

Lecture 5: Pandas

Chapter 17: Geospatial analysis in python

Lecture 1: GDAL/OGR

Lecture 2: Fiona and Shapely

Lecture 3: Geopandas – Part 1

Lecture 4: Geopandas – Part 2

Lecture 5: Rasterio

Lecture 6: GeoPy