Python for Mechanical Engineers

Python for Mechanical Engineers

Learn Python Programming, NumPy, Pandas, and Matplotlib with Mechanical Engineering–Focused Examples.

This course teaches Python programming from scratch with a direct focus on mechanical engineering applications. You start by learning the basics like Python setup, writing your first program, variables, operators, input/output, and working in the interactive shell.

You will use NumPy for numerical computations, array operations, trigonometric functions, matrices, and other tasks used in mechanical design and analysis. Pandas is introduced for data handling like Series, DataFrames, indexing, slicing, Excel and CSV processing, pivot tables, and mechanical engineering-related analysis examples.

Throughout the course, ChatGPT is used as a learning assistant for debugging, code explanation, plotting help, and data-analysis support.

By Chintan Morsiya · PhD Research Scholar, SVNIT

Beginner

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Learn 40+ Mech Tools

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Learn 40+ Mech Tools

  • autocad logo
  • matlab company logo
  • ansys company logo
  • matlab company logo
  • python logo
  • simulia abaqus logo logo
  • fusion 360 logo
  • freecad logo
  • autodesk cfd logo

Learn 40+ Mech Tools

  • autocad logo
  • matlab company logo
  • ansys company logo
  • matlab company logo
  • python logo
  • simulia abaqus logo logo
  • fusion 360 logo
  • freecad logo
  • autodesk cfd logo

Requirements

  • No prior programming experience required

  • Basic understanding of mechanical engineering concepts helpful

What to expect from this course

You will learn Python basics, the significance of Python in mechanical engineering, how to set up your environment, run your first program, use variables, literals, comments, type casting, and input/output functions with ChatGPT support.

You will understand operators, precedence, logical operations, and interactive Python scripting.

You will study control flow with if–else statements, for and while loops, loop control statements, nested loops, and multiple engineering-related examples.

You will learn functions, arguments, variable scope, global keywords, built-in modules, third-party modules, and user-defined modules with practical examples.

You will gain hands-on experience with NumPy, including array creation, indexing, slicing, arithmetic operations, matrix operations, string and trigonometric functions, and examples in mechanical engineering.

You will learn Pandas for data analysis like Series, DataFrames, indexing, slicing, manipulation, pivot tables, Excel/CSV operations, multi-indexing, and mechanical engineering data examples.

You will learn Matplotlib for visualization through basic plots, advanced plots, engineering-specific charts, and using ChatGPT for custom plot generation.

The Curriculum

Module 1: Python Introduction

  • Overview of Python

  • Significance of Python in Mechanical Engineering

  • Setting Up Python Environment

  • Run Your First Program

  • Python Interactive Shell and Scripts

Module 2: Python Variables

Module 3: Python Input/Output & Operators

Module 4: Control Flow Basics

Module 5: Loops & ChatGPT Assistance

Module 6: Functions and Modules

Module 7: NumPy Fundamentals

Module 8: NumPy Functions & Mechanical Examples

Module 9: Pandas for Data Analysis

Module 10: Plotting and Visualization using Matplotlib

Module 1: Python Introduction

  • Overview of Python

  • Significance of Python in Mechanical Engineering

  • Setting Up Python Environment

  • Run Your First Program

  • Python Interactive Shell and Scripts

Module 2: Python Variables

Module 3: Python Input/Output & Operators

Module 4: Control Flow Basics

Module 5: Loops & ChatGPT Assistance

Module 6: Functions and Modules

Module 7: NumPy Fundamentals

Module 8: NumPy Functions & Mechanical Examples

Module 9: Pandas for Data Analysis

Module 10: Plotting and Visualization using Matplotlib

Module 1: Python Introduction

  • Overview of Python

  • Significance of Python in Mechanical Engineering

  • Setting Up Python Environment

  • Run Your First Program

  • Python Interactive Shell and Scripts

Module 2: Python Variables

Module 3: Python Input/Output & Operators

Module 4: Control Flow Basics

Module 5: Loops & ChatGPT Assistance

Module 6: Functions and Modules

Module 7: NumPy Fundamentals

Module 8: NumPy Functions & Mechanical Examples

Module 9: Pandas for Data Analysis

Module 10: Plotting and Visualization using Matplotlib

instructor pic

Learn from Subject Experts:

Courses are created and reviewed by professionals with real manufacturing and design experience, ensuring every lesson is accurate, practical, and industry-ready.

Learning That Works:

Complex topics are broken down into simple, actionable lessons that engineers can implement immediately.

instructor pic

Learn from Subject Experts:

Courses are created and reviewed by professionals with real manufacturing and design experience, ensuring every lesson is accurate, practical, and industry-ready.

Learning That Works:

Complex topics are broken down into simple, actionable lessons that engineers can implement immediately.

instructor pic

Learn from Subject Experts:

Courses are created and reviewed by professionals with real manufacturing and design experience, ensuring every lesson is accurate, practical, and industry-ready.

Learning That Works:

Complex topics are broken down into simple, actionable lessons that engineers can implement immediately.

Advance Your Engineering Career

Learn what Mechanical Engineers actually use at work.

40+ Practical Courses covering Design, Analysis, Manufacturing, Robotics & Automation.

This Course includes:

  • 3-4 Weeks (2-3 Hours/Week)

  • Unlimited Lifetime Access

  • Downloadable PDF E-Books

  • Certificate of Completion

  • Quizzes & Knowledge Checks

  • Downloadable Resources & Notes

Course Categories

Learn What Actually Matters

From CAD Design to Digital Manufacturing

Core Mechanical Fundamentals

Engineering Drawing

GD&T

Basics of IC Engine

Manufacturing Technologies

Basics of Material Handling

Best for: 1st & 2nd Year Engineering Students

CAD / Product Design & Modeling

AutoCAD

SolidWorks 2024

CATIA V5

Siemens NX

PTC Creo

Fusion 360

Simulation using SpaceClaim

FreeCAD

Best for: 1st & 2nd Year Engineering Students

CAE, Simulation & Multiphysics

Basics of FEA with ANSYS

ABAQUS CAE

ANSYS Fluent

Autodesk CFD

OpenFOAM for CFD

EV Battery Cooling

COMSOL Multiphysics

Best for: 3rd & 4th Year Engineering Students

Programming, Automation & Robotics

MATLAB Programming

Python for Mechanical Engineers & Robotics

PLC Programming and Automation

Introduction to Mechatronics (Robotics)

C and C++ for Mechanical Engineers

Best for: 3rd & 4th Year Engineering Students

Manufacturing Excellence & Productivity

CNC Programming

Basics of 6 Sigma

TQM, Kaizen and 5S System

Lean Manufacturing Tools

7 QC Tools

Engineering Metrology & 3D Measurement

Uncertainty Measurement and of ISO 17025:2017

Best for: 3rd & 4th Year Engineering Students

Industry 4.0 & Smart Manufacturing

Introduction to Industry 4.0

3D Printing (Additive Manufacturing) for Industry 4.0

Digital Twins

Industrial Internet of Things (IIoT)

Basics of Digital Manufacturing

Smart Materials Science

Material Informatics

Best for: Working Professionals Upgrading to Industry 4.0 and Digital Manufacturing roles

Course Categories

Learn What Actually Matters

From CAD Design to Digital Manufacturing

Core Mechanical Fundamentals

Engineering Drawing

GD&T

Basics of IC Engine

Manufacturing Technologies

Basics of Material Handling

Best for: 1st & 2nd Year Engineering Students

CAD / Product Design & Modeling

AutoCAD

SolidWorks 2024

CATIA V5

Siemens NX

PTC Creo

Fusion 360

Simulation using SpaceClaim

FreeCAD

Best for: 1st & 2nd Year Engineering Students

CAE, Simulation & Multiphysics

Basics of FEA with ANSYS

ABAQUS CAE

ANSYS Fluent

Autodesk CFD

OpenFOAM for CFD

EV Battery Cooling

COMSOL Multiphysics

Best for: 3rd & 4th Year Engineering Students

Programming, Automation & Robotics

MATLAB Programming

Python for Mechanical Engineers & Robotics

PLC Programming and Automation

Introduction to Mechatronics (Robotics)

C and C++ for Mechanical Engineers

Best for: 3rd & 4th Year Engineering Students

Manufacturing Excellence & Productivity

CNC Programming

Basics of 6 Sigma

TQM, Kaizen and 5S System

Lean Manufacturing Tools

7 QC Tools

Engineering Metrology & 3D Measurement

Uncertainty Measurement and of ISO 17025:2017

Best for: 3rd & 4th Year Engineering Students

Industry 4.0 & Smart Manufacturing

Introduction to Industry 4.0

3D Printing (Additive Manufacturing) for Industry 4.0

Digital Twins

Industrial Internet of Things (IIoT)

Basics of Digital Manufacturing

Smart Materials Science

Material Informatics

Best for: Working Professionals Upgrading to Industry 4.0 and Digital Manufacturing roles

Course Categories

Learn What Actually Matters

From CAD Design to Digital Manufacturing

Core Mechanical Fundamentals

Engineering Drawing

GD&T

Basics of IC Engine

Manufacturing Technologies

Basics of Material Handling

Best for: 1st & 2nd Year Engineering Students

CAD / Product Design & Modeling

AutoCAD

SolidWorks 2024

CATIA V5

Siemens NX

PTC Creo

Fusion 360

Simulation using SpaceClaim

FreeCAD

Best for: 1st & 2nd Year Engineering Students

CAE, Simulation & Multiphysics

Basics of FEA with ANSYS

ABAQUS CAE

ANSYS Fluent

Autodesk CFD

OpenFOAM for CFD

EV Battery Cooling

COMSOL Multiphysics

Best for: 3rd & 4th Year Engineering Students

Programming, Automation & Robotics

MATLAB Programming

Python for Mechanical Engineers & Robotics

PLC Programming and Automation

Introduction to Mechatronics (Robotics)

C and C++ for Mechanical Engineers

Best for: 3rd & 4th Year Engineering Students

Manufacturing Excellence & Productivity

CNC Programming

Basics of 6 Sigma

TQM, Kaizen and 5S System

Lean Manufacturing Tools

7 QC Tools

Engineering Metrology & 3D Measurement

Uncertainty Measurement and of ISO 17025:2017

Best for: 3rd & 4th Year Engineering Students

Industry 4.0 & Smart Manufacturing

Introduction to Industry 4.0

3D Printing (Additive Manufacturing) for Industry 4.0

Digital Twins

Industrial Internet of Things (IIoT)

Basics of Digital Manufacturing

Smart Materials Science

Material Informatics

Best for: Working Professionals Upgrading to Industry 4.0 and Digital Manufacturing roles

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Engineers at every level use GaugeHow to bridge theory and practice, build confidence, and master the skills companies actually need.

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