Introduction to Python

Course Modules
  • Module 1: Creating Variables and Assigning Data
  • Module 2: Working with Basic Data Types (Strings, Numbers, Booleans)
  • Module 3: Advanced Data Types (Lists, Tuples, Dictionaries)
  • Module 4: Advanced Data Types (Classes and Objects)
  • Module 5: Decision Support Statements, and Loops
  • Module 6: Working with Functions
  • Module 7: Error Handling
  • Module 8: File Handling
  • Module 9: Advanced Numeric Analysis with Numpy

Today, GIS and data science are indispensable tools for any organization, allowing for the analysis and optimization of decisions and strategy. Python has become the preferred programming language for both GIS and data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm.

From government and universities to new start-ups and big tech like Google or Microsoft, the use of Python for has become a standard tool. Python is a simple and very versatile language (numerical analysis, web development, data analysis, etc.). This module introduces programming in Python, focusing on data analysis and the most efficient libraries for data science including Pandas and Numpy.

The course methodology is designed under the “learning by doing” maxima. The student will learn the language and applications through examples and practice. No prior programming skills are required.

Live Online Classes

None at this time.

In Person Classes

None at this time.


Purchase as part of Annual License

Our self-paced classes are delivered through our online training platform. You will be emailed instructions for creating a login and activating your course. All lectures are pre-recorded so you can progress through the course at your own pace. The same applies to the exercise. The course does not have an expiration date.

Don’t want to purchase online? You can also register for classes using our registration form.

Knowledgeable instructor, well paced class, applicable information covered, hands-on style.

Brandon Clark, Alabama Power

I strongly and highly recommend it

Matt Gubitosa, U.S. EPA

I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!

Pal Herman Sund

I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the information easy to understand. -

Kyle Lockhart, Escambia County, FL

Class was well organized, well paced and I learned a lot.

Aleeta Zeller, Chattanooga RPA

These courses are great. I am so pressed for time this is the only way I can acquire extra skills these days. Thank you Eric for all your hard work!

Chris Hickin, NYC Fire Dept.

I have attended a number of instructor lead training courses offered by ESRI, which are great in their own right, but the Mastering the ArcGIS Server JavaScript API course gets much more in-depth than they often do. I really liked the recommended reading, they helped expand the terms being covered in lecture to concrete examples that could be related back to my work more directly instead of just having the lecture and exercises alone. I learned a lot andwill recommend this and other GeoSpatial Training courses to the GIS'ers I know. Thanks for putting this course together and offering it.

Jason Warzinik, Boone County, MO

Really good course material. Very relevant subject matter.

Michael Philp, City of Springville, UT

Definitely got me "over the hump" of being able to grasp Python.

Joseph Monti

Very informative and knowledgeable course. It help determine which direction I should take my further GIS and web programming skills.

Chris Pollard, Delaware Valley Regional Planning Commission

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