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Course Outline

Introduction

  • The philosophy and core principles of Python

  • Differences between Python for engineers versus software developers

  • Key features of Python relevant to technical and automation applications

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

Understanding Python in Engineering Contexts

  • The lifecycle of a Python script within technical environments

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

  • Potentialities and constraints of using Python in industrial systems

Getting Started

  • Configuring the Development Environment

  • Installing Python as a standalone application

  • Using Python from the command line interface

  • On-premise installation of Python

  • Cloud-based installation of Python (optional context)

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


Fundamental Python Concepts for Engineers

  • Python syntax, variables, data types, and operators

  • Conditions, loops, and fundamental control flow structures

  • Functions and modular thinking approaches

  • Lists, dictionaries, and simple data structures

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

Data Handling and Automation Techniques

  • Reading and writing simple files

  • CSV data manipulation and basic technical data processing

  • Developing a debugging mindset and handling errors effectively

  • Automating routine engineering tasks

Applied Mini-Project

  • Constructing a simple script for technical calculations, data processing, or automation

  • Practical exercise: analyzing machine performance or generating KPI reports

Summary and Future Directions

  • Review of key concepts covered

  • Resources for continued learning

  • Steps for implementing Python in engineering environments moving forward

Requirements

  • Familiarity with basic computer operations and logical reasoning
  • Background in technical or engineering settings (optional)
  • Programming experience: No prior knowledge necessary

Target Audience

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

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