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Course Outline

Introduction

  • Python philosophy and principles

  • Python for engineers vs Python for software developers

  • Overview of Python features for technical and automation applications

  • Beyond coding: Python as an engineering thinking tool

Understanding Python for Engineering

  • The lifecycle of a Python script in a technical environment

  • How Python fits in with automation, data processing, and industrial workflows

  • Python and industrial systems: possibilities and limitations

Getting Started

  • Setting up the Development Environment

  • Installing Python as a stand-alone application

  • Using Python from the command line

  • 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

  • Functions and modular thinking

  • 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

  • Basic debugging mindset and error handling

  • Automating repetitive engineering tasks

Applied Mini-Project

  • Building 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

  • Resources for further learning

  • Next steps for applying Python in engineering environments

Requirements

  • A foundational understanding of basic computer usage and logical reasoning
  • Experience with technical or engineering environments (optional)
  • Programming experience: Not required

Audience

  • Engineers and automation professionals
  • Technicians and technical jobseekers
  • Engineering students (Bac+2 to Bac+5)
  • IT professionals seeking to apply Python in industrial settings
  • Anyone with a technical background aiming to learn Python for practical applications
 24 Hours

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