Learning the Open Source GIS Stack: Python for Geospatial

Learning the Open Source GIS Stack: Python for Geospatial, available at $44.99, has an average rating of 3.95, with 31 lectures, based on 87 reviews, and has 598 subscribers.

You will learn about You will learn how to write basic Python scripts. You will also learn how to integrate Python packages that have GIS functionality. As a bonus, this course will also show how to use Arcpy, and integrate ArcGIS with FOSS4g. And you'll learn how to integrate SQL, PostGIS, and SpatiaLite. This course is ideal for individuals who are Students who want to expand their geospatial skills to include Python programming. or Students who want to learn how to integrate Python, QGIS, ArcGIS, Postgres, and cloud-based spatial data services togethe.r into a unified solution. or Students looking to nail that next interview that requires you to know something about GIS and scripting. It is particularly useful for Students who want to expand their geospatial skills to include Python programming. or Students who want to learn how to integrate Python, QGIS, ArcGIS, Postgres, and cloud-based spatial data services togethe.r into a unified solution. or Students looking to nail that next interview that requires you to know something about GIS and scripting.

Enroll now: Learning the Open Source GIS Stack: Python for Geospatial

Summary

Title: Learning the Open Source GIS Stack: Python for Geospatial

Price: $44.99

Average Rating: 3.95

Number of Lectures: 31

Number of Published Lectures: 31

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn how to write basic Python scripts.
You will also learn how to integrate Python packages that have GIS functionality.
As a bonus, this course will also show how to use Arcpy, and integrate ArcGIS with FOSS4g.
And you'll learn how to integrate SQL, PostGIS, and SpatiaLite.

Who Should Attend

Students who want to expand their geospatial skills to include Python programming.
Students who want to learn how to integrate Python, QGIS, ArcGIS, Postgres, and cloud-based spatial data services togethe.r into a unified solution.
Students looking to nail that next interview that requires you to know something about GIS and scripting.

Target Audiences

Students who want to expand their geospatial skills to include Python programming.
Students who want to learn how to integrate Python, QGIS, ArcGIS, Postgres, and cloud-based spatial data services togethe.r into a unified solution.
Students looking to nail that next interview that requires you to know something about GIS and scripting.

If you are in the field of GIS, you’re probably hearing everyone talking about Python, whether it’s Arcpy in ArcGIS or special Python packages for doing things like geocoding. In this course I am going to show you how to write Python code to perform spatial analysis. The course isn’t so much about learning Python, but rather how to integrate different spatial libraries within your Python code. Using the course videos, you will work alongside of me to learn how I go about cobbling together Python code and various packages to solve spatial problems. I’ll provide you with all the data that I demonstrate in the course.

Of course, we’ll have a brief overview of Python. But after the brief refresher, we will dive into using Python with Open Source GIS and commercial GIS software. Most courses only go over a single GIS program’s use of Python. But in this class, you’ll get exposed to all kinds of different GIS software products, and learn how to tie them all together with Python.

Course Curriculum

Chapter 1: Welcome to the course

Lecture 1: Goals and objectives – what you'll learn

Chapter 2: Loading our software and data

Lecture 1: Installing QGIS 3.8

Lecture 2: Installing Postgres 11

Lecture 3: Our data

Lecture 4: Installing Python 3

Lecture 5: Loading data into Postgres

Chapter 3: A gentle overview of Python

Lecture 1: The general overview

Lecture 2: The Python language: strings

Lecture 3: Reading and writing from files

Lecture 4: The Python Language: numbers and lists

Lecture 5: Statements and control

Lecture 6: A simple program to convert temperature

Lecture 7: Default Python modules

Chapter 4: External modules: the magic of PIP

Lecture 1: Blow your mind with SQLITE

Lecture 2: Blow your mind with SQLITE: spatial!

Lecture 3: Numpy

Lecture 4: Linear Algebra with Numpy (also how to create a function)

Lecture 5: Postgres and Python

Lecture 6: Access Microsoft Excel with Python

Chapter 5: Explicitly Spatial modules with Python

Lecture 1: Geocoding modules

Chapter 6: Section 6: Python with Desktop QGIS (ArcGIS and QGIS)

Lecture 1: A quick intro to Arcpy

Lecture 2: Extending Arcpy to run outside of ArcGIS

Lecture 3: A quick intro to Qpy

Lecture 4: Extending our use of Qpy

Chapter 7: Applying what we learned in Qpy

Lecture 1: Lab Question 1: How many TRI sites are within .5 miles of the interstate

Lecture 2: Lab Question 2: How many schools are within .5 miles of Lindau Chemical

Lecture 3: Lab Question 3: What % of white / non white are vulnerable to a TRI spi

Chapter 8: Creating forms with Python

Lecture 1: Creating forms using formlayout

Lecture 2: Integrating forms with ArcGIS

Lecture 3: Integrating forms with Postgres and PostGIS

Lecture 4: Bonus Lecture: How to keep learning

Instructors

Arthur Lembo
Professor

Rating Distribution

1 stars: 2 votes
2 stars: 4 votes
3 stars: 9 votes
4 stars: 26 votes
5 stars: 46 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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