Python Fundamentals Training for Non-Programmers

Course 1904

  • Duration: 2 days
  • Labs: Yes
  • Language: English
  • Level: Foundation

This hands-on course is intended for those individuals with little or no software development experience. Starting with the most fundamental elements, this training evolves your skills to produce complete computer applications, including the user interface, business logic and data access layers. During the course, attendees will write code using Python, one of the most popular modern languages and highly suitable for beginners. Development techniques include requirements, design, code generation, testing and debugging.

Of special note, this course combines adaptive learning (AdaptaLearn) with the use of Generative AI (Chat.OpenAI) to accelerate your pace of learning and ability to do hands-on development work. This will ensure you are highly productive Python programmers the moment you return to your office. A post-course AI-driven hands-on practicum is provided for ongoing practice and improvement.

With this course, you will gain all the pre-requisite skills necessary to carry on to more language-specific training appropriate for the type of applications your organization needs, be they data science, web development, embedded real-time systems or other.

Python Training for Non-Programmers Course Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Python Training for Non-Programmers Course Information

In this Python for Non-Programmers course, you will learn how to:

  • Begin developing modern computer applications.
  • Design and implement an application using Python.
    Write cohesive object-oriented logic (classes and libraries).
  • Leverage Generative AI (Chat.OpenAI) and modern integrated development tools (PyCharm) for code editing, execution, testing, and debugging.
  • Access data files to save and restore persistent information.


Basic computer literacy is expected. Attendees will need to know how to use Microsoft Windows to edit and copy files both in Windows Explorer and via a command prompt. Prior programming experience is not needed.

Python Training for Non-Programmers Course Outline

Principles of Programming

  • How computers solve problems
  • Language types and evolution
  • Procedural logic
  • Object Orientation
  • Bugs and other challenges

Syntax and Semantics

  • About Python
  • Statements and comments
  • Literals, Variables and Data Types
  • Collection Types
  • Expressions and Operators
  • Strings, Concatenation, and type conversion
  • Demo – accessing exercise computers and Py
  • Hands-On Exercise – First Python program using Py

Program Layout and Organization

  • Modules and Packages
  • Integrated Development Environments (IDEs)
  • Introduction to PyCharm

Making Decisions with Conditionals

  • if/elif/else statements
  • Criteria expressions
  • in and not in

Repeating Program Logic with Loops

  • Counting loops and for/Range
  • For-each Loops
  • Iterating a List
  • Loop control

Writing and Calling Functions

  • Function definition
  • return statement
  • Accepting parameters
  • Returning results
  • Importing modules and functions
  • Cross-module calls
  • Calling library functions

Why Object Oriented?

  • Challenges with purely procedural code
  • Global variables – not the solution
  • Principles and style of object orientation

Classes and Objects

  • Defining classes
  • Properties vs local variables
  • Methods vs functions
  • Creating objects
  • Object state and instance data

Graphical UI Frameworks

  • 3-layer model
  • What is a framework?
  • Framework choices
  • GUI Philosophy
  • Why Tkinter (tinker)

Windows, Frames and Widgets

  • Familiar widgets – from labels to radio buttons
  • The GUI class structure and layout
  • Adding widgets to a form
  • Geometry manager
  • pack(), vs grid() vs place()
  • Adding widgets to a frame
  • Adding a frame to a window
  • Using grids – automatic rows and columns
  • Tk Choice properties
  • Radio button example

 Events and Event Binding

  • Philosophy of event-driven programming
  • Event types
  • Binding to events using bind()
  • Button click event
  • Keyboard enter-key event
  • Choice widget command options
  • Command response function vs event method
  • Discussion – An event has happened, now what?
  • Hands-On Exercise – Adding events for the case study.

Accessing Files

  • Types of data input
  • Flat vs serialization vs big data vs database
  • I/O streams
  • Opening modes – read, write and append
  • New files vs appending
  • Reading/writing binary, raw and character data
  • Handling exceptions
  • Preventing exceptions

Capabilities and Concepts of Gen AI

  • The AI megatrend
  • How GenAI works
  • The promise and the pitfalls 
  • AI Ethics

Preparing AI prompts and queries

  • Elements of an effective prompt 
  • Succinct polite queries
  • Background...Goal...Rationale format 
  • Repeat and regenerate until satisfied.
  • Designing the post-course practicum

Next Steps

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Python Training for Non-Programmers Course FAQs

Yes! Software developer roles are replacing many traditional, non-technical jobs. If you are being asked to or considering moving to one of these roles, you must demonstrate pre-requisite programming knowledge, and this is the perfect class for that!

Yes! Often managers are bewildered by the technical terms and processes of what they are supervising. This class provides a high-level conceptual understanding of the significant aspects of software development, including its terminology and processes.

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