Survey of Python for GIS Applications
Introduction to the python language and ecosystem for GIS professionals
Lectures -85
Duration -13.5 hours
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Course Description
This course covers the basics of the python language, the python language, and the core python packages for data analysis, especially of geospatial data. The goal of the course is to provide a broad introduction to the capabilities of python and how all the various packages work together. This will provide a starting point for deeper exploration on your own or in future courses.
Introduction to python
Object oriented python
Packages and modules
Unit tests
Jupyter notebooks
Numpy
Matplotlib
Pandas
Fiona and shapely
Geopandas
Rasterio
Geocoding
Goals
What will you learn in this course:
- An introduction to the language and its core principles.
- An introduction to object oriented programming in python.
- Finding and using third party python modules.
- Working with the operating system
- Working with files
- Working with databases
- Reading spatial data with GDAL/OGR
- Visualizing data with Matplotlib and other tools
- Data Analysis with pandas and geopandas
- Jupyter Notebooks
Prerequisites
What are the prerequisites for this course?
- This course is not a beginner programming course. I assume you have some programming knowledge, i.e. what . variable is, what an expression is, what a loop is, what a function is, etc. But i do go over the basics of how all those things are implemented in
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
6 Lectures
- Introduction 07:32 07:32
- What is python? 18:59 18:59
- Why use python? 06:04 06:04
- What can you do with Python? 08:01 08:01
- What can you do with python? - Part 2 GIS 14:45 14:45
- About Python 15:23 15:23
Installing Python
3 Lectures
Getting started with Python
5 Lectures
Operators and expressions in Python
3 Lectures
Complex data structures
8 Lectures
Program control
4 Lectures
User Input
3 Lectures
Functions
6 Lectures
Error Handling in Python
2 Lectures
Modules
1 Lectures
Objects in python
7 Lectures
Python packages, virtual environments, and documentation
5 Lectures
Formal testing in python
2 Lectures
Working with the operating system and files
14 Lectures
Working with database data
3 Lectures
The python data science stack
5 Lectures
Geospatial analysis in python
7 Lectures
Instructor Details
Michael Miller
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