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
- 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
- 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
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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
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What can you do with python? - Part 2 GIS 14:45 14:45
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About Python 15:23 15:23
Installing Python
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Getting started with Python
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Operators and expressions in Python
3 Lectures
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Complex data structures
8 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Program control
4 Lectures
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User Input
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Functions
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Error Handling in Python
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Modules
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Objects in python
7 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Python packages, virtual environments, and documentation
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Formal testing in python
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Working with the operating system and files
14 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Working with database data
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
The python data science stack
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Geospatial analysis in python
7 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Michael Miller](https://www.tutorialspoint.com/assets/profiles/323998/profile/200_73624-1620217052.jpg)
Michael Miller
I have been programming and working with database applications for over 30 years, and specializing in geospatial applications for over 20 years. I am a believer in the 80/20 pareto principle which suggests that you only need to understand 20% of a subject in order to do 80% of your work. My goal in all my courses is to teach at the level of that 20% sweet spot and to provide my students with the background and the tools they need to learn the rest of what they need on their own.
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