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Course Outline

Introduction

  • Philosophy and core principles of Python

  • Differences between Python for engineers and Python for software developers

  • Overview of Python features relevant to technical and automation applications

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

Understanding Python in Engineering Contexts

  • The lifecycle of a Python script within a technical environment

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

  • Python and industrial systems: capabilities and constraints

Getting Started

  • Configuring the Development Environment

  • Installing Python as a standalone application

  • Utilising Python via the command line

  • On-premise installation of Python

  • Cloud-based installation of Python (optional context)

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


Fundamentals of Python for Engineers

  • Python syntax, variables, data types, and operators

  • Conditions, loops, and basic control flow mechanisms

  • Functions and modular design thinking

  • Lists, dictionaries, and simple data structures

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

Data Handling and Automation

  • Reading and writing simple files

  • CSV data management and fundamental technical data processing

  • Foundational debugging mindset and error handling techniques

  • Automating routine engineering tasks

Applied Mini-Project

  • Developing a straightforward technical calculation, data processing, or automation script

  • Practical exercise: analysing machine performance or generating KPI reports

Summary and Future Steps

  • Review of key concepts

  • Resources for continued learning

  • Subsequent steps for applying Python within engineering environments

Requirements

  • A grasp of fundamental computer operation and logical reasoning
  • Exposure to technical or engineering settings (optional)
  • Programming background: No prior experience necessary

Target Audience

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

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