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Course Outline

Introduction

  • Philosophy and core principles of Python

  • Differentiating Python for engineers from Python for software developers

  • Overview of Python capabilities for technical and automation applications

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

Understanding Python in Engineering

  • The lifecycle of a Python script within technical environments

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

  • Python in industrial systems: possibilities and limitations

Getting Started

  • Setting up the development environment

  • Installing Python as a standalone application

  • Using Python via the command line

  • On-premise installation of Python

  • Cloud-based installation of Python (optional context)

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


Fundamentals of Python for Engineers

  • Python syntax, variables, data types, and operators

  • Conditions, loops, and fundamental control flow

  • Functions and modular thinking

  • Lists, dictionaries, and basic data structures

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

Data Handling and Automation

  • Reading and writing simple files

  • CSV data management and basic technical data processing

  • Developing a debugging mindset and error handling techniques

  • Automating repetitive engineering tasks

Applied Mini-Project

  • Developing 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

  • Familiarity with basic computer operations and logical reasoning
  • Experience in technical or engineering settings (optional)
  • Programming background: None required

Target Audience

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

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