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Course Outline

Introduction

  • Python philosophy and core principles

  • Distinguishing Python for engineers from Python for software developers

  • Overview of Python features suitable for technical and automation applications

  • Beyond coding: Utilizing Python as an engineering thinking tool

Understanding Python in Engineering Contexts

  • The lifecycle of a Python script within a technical environment

  • How Python integrates with automation, data processing, and industrial workflows

  • Python’s role in industrial systems: possibilities and limitations

Getting Started

  • Setting up the development environment

  • Installing Python as a standalone application

  • Using Python from the command line interface

  • Installing Python on-premise

  • Installing Python in the cloud (optional context)

  • Installing and using a Python IDE (VS Code, PyCharm)

Python Fundamentals for Engineers

  • Python syntax, variables, data types, and operators

  • Conditions, loops, and basic control flow mechanisms

  • Functions and modular thinking approaches

  • Lists, dictionaries, and simple data structures

  • Engineering logic patterns: thresholds, rules, parameters, and decision scripts

Working with Data and Automation

  • Reading and writing simple files

  • CSV data handling and basic technical data processing

  • Developing a debugging mindset and error handling techniques

  • Automating repetitive engineering tasks

Applied Mini-Project

  • Creating a simple technical calculation, data processing, or automation script

  • Practical exercise: machine performance analysis or KPI report generation

Summary and Next Steps

  • Recap of key concepts covered

  • Resources for further learning

  • Next steps for applying Python in engineering environments

Requirements

  • A foundational understanding of basic computer operations and logical reasoning
  • Previous experience in technical or engineering settings (optional)
  • Programming experience: Not required

Target Audience

  • Engineers and automation professionals
  • Technicians and technical job seekers
  • Engineering students (from undergraduate to postgraduate levels)
  • IT professionals seeking to apply Python in industrial contexts
  • Individuals with a technical background looking to learn Python for practical applications
 24 Hours

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