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Course Outline

Introduction

  • Python’s core philosophy and guiding principles

  • Distinguishing Python for engineers versus software developers

  • Overview of Python features suited for technical and automation use cases

  • Beyond code: Python as a tool for engineering thinking

Python in an Engineering Context

  • The lifecycle of a Python script within technical environments

  • Integrating Python with automation, data processing, and industrial workflows

  • Python in industrial systems: assessing capabilities and constraints

Getting Started

  • Configuring the Development Environment

  • Installing Python as a standalone application

  • Interacting with Python via the command line

  • Installing Python in on-premise setups

  • Installing Python in cloud environments (contextual option)

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


Python Fundamentals for Engineers

  • Python syntax, variables, data types, and operators

  • Conditions, loops, and fundamental control flow mechanisms

  • Functions and the concept of modular thinking

  • Lists, dictionaries, and basic data structures

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

Data Handling and Automation

  • Reading from and writing to simple files

  • Managing CSV data and performing basic technical data processing

  • Developing a basic debugging mindset and error handling strategies

  • 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 Next Steps

  • Review of key concepts

  • Resources for continued learning

  • Pathways for applying Python in engineering settings

Requirements

  • Familiarity with basic computer operations and logical reasoning
  • Prior exposure to technical or engineering settings (optional)
  • Programming background: Not required

Target Audience

  • Engineers and automation specialists
  • Technicians and professionals in technical roles
  • Engineering students (Levels Bac+2 through Bac+5)
  • IT professionals seeking to integrate Python into industrial applications
  • Individuals with a technical foundation aiming to apply Python for practical solutions
 24 Hours

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