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Junior SDET building Python test utilities data checks and pytest cases
SQA, Test Automation & SDET · Course #045

Python Programming for SDET

The purpose of Python Programming for SDET is to help participants use Python to build clear test utilities, data transformations, API checks and reusable automation components with methods they can defend and adapt. Core ideas such as python setup, environments and project layout, values, types, control flow and functions and lists, dictionaries, sets and data transformation are explored through focused demonstrations and applied tasks. Learners work with functions, collections, modules, exceptions, files and structured data, then create pytest checks and a small command-line quality tool with repeatable dependencies. Learners also consider quality risks, useful documentation and the hand-offs required across a modern software team. They develop Pythonic habits that support maintainable automation rather than one-off scripts with hidden state.

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Overview

The purpose of Python Programming for SDET is to help participants use Python to build clear test utilities, data transformations, API checks and reusable automation components with methods they can defend and adapt. Core ideas such as python setup, environments and project layout, values, types, control flow and functions and lists, dictionaries, sets and data transformation are explored through focused demonstrations and applied tasks. Learners work with functions, collections, modules, exceptions, files and structured data, then create pytest checks and a small command-line quality tool with repeatable dependencies. Learners also consider quality risks, useful documentation and the hand-offs required across a modern software team. They develop Pythonic habits that support maintainable automation rather than one-off scripts with hidden state.

Course Highlights

Python foundations for QA

Data structures and transformations

Modules and reusable utilities

Exceptions and diagnostics

pytest test design

Automation mini-project

Modules & Curriculum

Python setup, environments and project layout

Values, types, control flow and functions

Lists, dictionaries, sets and data transformation

Files, JSON and structured test data

Modules, packages and dependency management; exceptions, validation and logging foundations

Classes, data models and composition

pytest assertions, fixtures and parameterisation

HTTP-client and database integration concepts; mini-project: automated validation and report utility

Learning Outcomes

  • Write Python functions with clear inputs, outputs and side effects.
  • Transform test data using built-in collections and comprehensions.
  • Organise reusable code into modules and packages.
  • Handle validation errors with informative exceptions.
  • Create parameterised pytest checks with fixtures.

Ready to Build Your Future-Ready Skills?

Use Python to create readable automation components and evidence-rich quality tools.

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