Programming Python


Programming Python

1. Introduction

Exegetic Analytics is a Data Science consultancy specialising in data acquisition and augmentation, data preparation, predictive analytics and machine learning. Our services are used by a range of industries from Education to Security, Food Delivery to Politics. Our consultants are based in Durban and Cape Town and we engage with clients all over the world. Our products and services are used by a multitude of industries including Aerospace, Education, Finance, Food and Transport.

Exegetic Analytics also offers training, with experienced and knowledgeable facilitators. Our courses focus on practical applications, working through examples and exercises based on real-world datasets.

All of our training packages include access to:

  • our online development environment and
  • detailed course material which participants will have continued access to even once the training has concluded.

For more information about what we do, you can refer to our website.

These are some of the companies who have benefitted from our trainning:

Take a look at our full list of courses to see what other training we have on offer.

Contact Us

If this proposal is of interest to you or you would like to hear more about what we do you can get in touch on or +27 73 805 7439.

2. Course Description


Duration 2 days
Who should attend?

The course is suitable for somebody who is interested in learning how to code but has little or no prior experience.

It’s not suitable for experienced Python programmers.

Objectives In this course you’ll learn the fundamentals of writing code with Python.
Outcomes You’ll be familiar with

  • data types and variables;
  • compound data structures;
  • flow control;
  • writing functions;
  • exception handling;
  • object-oriented features; and
  • selected items from the Python standard library.

Return to our list of courses.

Course Outline

3. Course Outline

Day 1:

  • Introduction
    • Python Philosophy (“Batteries included”)
    • Starting Python
    • Code layout
  • Variables
    • Atomic Data Types
    • Compound Data Types
      • Tuples
      • Lists
      • Sets
      • Dictionaries
  • Flow Control
    • Conditionals
    • Loops
  • Files
    • Text Files
    • Pickle (storing Python objects)
  • Strings
    • Interpolation
    • Regular expressions

Day 2:

  • Functions
  • Extending Python with Packages
    • Modules and Packages
    • Installation
    • Importing
    • Creating
  • Functional Programming
    • Iterables and Iterators
    • Anonymous functions
    • Operations: map(), filter() and reduce()
    • List Comprehensions
  • Errors and Exception Handling
  • Classes
    • Attributes
    • Methods
    • Inheritance
  • Generators
  • Function Decorators

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Training Philosophy

Our training emphasises practical skills. So, although you'll be learning concepts and theory, you'll see how everything is applied in the real world. We will work through examples and exercises based on real datasets.


All you'll need is a computer with a browser and a decent internet connection. We'll be using an online development environment. This means that you can focus on learning and not on solving technical problems.

Of course, we are happy to help you get your local environment set up too! You can start by following these instructions.


The training package includes access to
  • our online development environment and
  • detailed course material (slides and scripts).

Return to our list of courses.