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Course Outline

Introduction

  • Core principles and the philosophy of Python

  • Python for engineers compared to Python for software developers

  • An overview of Python features relevant to technical and automation applications

  • Beyond coding: Using Python as a tool for engineering thought processes

Understanding Python for Engineering

  • The lifecycle of a Python script within a technical environment

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

  • Python in industrial systems: Exploring capabilities and limitations

Getting Started

  • Configuring the Development Environment

  • Installing Python as a standalone application

  • Interacting with Python via the command line

  • Installing Python on-premises

  • Installing Python in the cloud (optional context)

  • Installing and utilizing a Python IDE (such as VS Code or 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-making scripts

Working with Data and Automation

  • Reading from and writing to simple files

  • Handling CSV data and performing basic technical data processing

  • Developing a basic debugging mindset and implementing error handling

  • Automating repetitive engineering tasks

Applied Mini-Project

  • Developing a simple script for technical calculation, data processing, or automation

  • Practical exercise: Analyzing machine performance or generating KPI reports

Summary and Next Steps

  • Review of key concepts

  • Resources for further study

  • Next steps for applying Python in engineering environments

Requirements

  • A solid understanding of basic computer operations and logical reasoning
  • Experience in technical or engineering settings (optional)
  • Programming background: No prior experience required

Target Audience

  • Engineers and automation professionals
  • Technicians and technical job seekers
  • Engineering students (Bac+2 to Bac+5)
  • IT professionals aiming to apply Python in industrial contexts
  • Individuals with a technical background interested in learning Python for practical applications
 24 Hours

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