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Python for Mechanical Engineers

Name: Python for Mechanical Engineers
Rating: 4.5 (1320 reviews)

Learn Python to solve problems in mechanical fields.

Bestseller

Created byShriram K

Last updated 8/2026

English

English [Auto],French [Auto],

What you'll learn

Python Programming in Mechanical Engineering
How to use Python to solve and analyze engineering problem
Use Python for Data Analysis
Use of Python in Simulation Softwares

Course content

10 sections • 54 lectures • 12h 42m total length

Introduction to Course and Curriculum8:27
In this section we will see basics of python and importance of python in Engineering
Python Installation6:36
If you have python installed already you can skip to next video
Installing the Anaconda7:35
This video explains to install Anaconda navigator a python distributor. We will be using Anaconda through out the course
How to access the resource and files1:28
In this lecture we will see how to access resource files and open it in jupyter notebook

Data Types in Python21:16
You will learn basics of python and data types
Loops - For Loop17:50
Loops - If Loop7:57
In this lecture we will learn how to perform mathematical operations
Loops _While Loop6:39
Explore while loops in python through a summing example: initialize sum, increment i, update sum, print running totals, and apply break conditions; compare with for loops and touch on Newton-Rapson.
Functions in Python7:31

Matplot Library for plotting the data14:04
Plot data with matplotlib in Python using pyplot. Create x and y data, add titles, labels, legends, axis limits, and plot multiple series with styles on one figure.
Matplotlib: Figure and Axes12:07
Subplots with Matplotlib13:55
In this lecture we will see how can we plot subplots in python using Matplotlib
Grid Specs - Plot Layouts13:10
Master grid spec layouts in Matplotlib to arrange three subplots in a 2x2 grid, customize figure and axis backgrounds, enable grid lines, and manage legends.
Contour Plots10:07
Surface Plots8:54
Polar Plots8:19
This lecture is about how to plot data in polar coordinates

Program_1 - Projectile Motion13:04
Program - 2 - Von Misses Failure Theory Plots21:18
In this lecture we will learn the how to analyse stress values according to failure theories.
Program - 3 - Analysis of Beams - Shear force and Bending Moment Diagrams18:30
Demonstrates how to build a shear force and bending moment diagram for a simply supported beam under a uniform load by computing reactions, V(x), M(x), and plotting with fill-between shading.
Program - 4 - Analysis of Beams SFD and BMD - Part-220:38
Compute shear force and bending moment diagrams for a simply supported beam with a distributed load, calculate reactions, and plot the SFD and BMD using a Python program.
Program - 5 - Kinematic Analysis of mechanisms23:08
Develop a Python program to compute the slider-crank kinematics, including displacement, velocity, and acceleration as the crank rotates, using theta, omega, radius, and connecting rod length, with SciPy derivative functions.
Program - 6 - Use of Python Script in Design and Simulation Softwares5:38
This lecture is for demonstration that how python scripts are used in design, simulation, softwares
Program - 7 - Fatigue Criteria22:33
In this lecture we are going to learn about calculating the fatigue criteria
Plot the Shear Force Diagram and Bending Moment Diagram of the beam

Program - 1 Solving Ordinary Differential Equation with Scipy ODEINT9:11
Program - 1 - Analyse the simple spring mass system with python.26:26
Program 3 - Single Degree freedom of System with SciPy ODEINT19:03
In this lecture SDOF problem will be solved using ODEINT module from SciPy
Program - 3 - Plot the frequency response of the spring mass system13:50
In this lecture we will plot the frequency response of system
Program - 4 - Natural Frequency Calculation - Eigen Value Problem13:43
In this lecture it is demonstrated, how natural frequencies are calculated with SciPy linalg module.
Program - 5 - Frequency response of Multi Degree Freedom System21:38
This lecture demonstrate the generate the frequency response of MDOF system
Quarter Car Suspension - Model Equation12:36
Quarter Car Suspension Model Equation Part-210:59
Quarter Car Suspension Model - Sine Wave Profile Road Surface16:13
Program a quarter car suspension model in Python using numpy to simulate a sinusoidal road surface with amplitude and frequency, and compute vehicle and wheel displacements and velocities.
Quarter Car Suspension - Road with single bump7:00
Model the quarter car suspension response to a road with a single bump using a time-limited forcing function, and examine how stiffness, damping, and velocity shape peak displacement.
Assignment - Quarter Car Suspension Model

Program - 1 - Plot and visualize the streamlines of the fluid flow11:28
We will learn how to plot stream lines of the fluid.
Program - 2 - Analyse the Diesel Cycle with python Program.37:03
Program - 3 - One Dimensional Heat Equation with Animated Plot28:33
The one-dimensional (1D) heat equation is the standard PDE that models how temperature diffuses along a thin rod (or in any 1D domain) over time.
In heat equation, α is the thermal diffusivity of the material.
Thermal diffusivity measures how quickly temperature disturbances spread through the material; higher αα means faster diffusion and faster smoothing of the temperature profile.
Program - 4 - Temperature Distribution - 2D Heat Transfer Problem16:24
Explore the temperature distribution in a 2D square plate by solving with finite difference under boundary conditions, using Python to iterate and visualize results.
Program - 5 - Flow Over Cylinder - Stream Line Plot14:28
Program - 6 - Flow Over Cylinder :- Pressure Distribution8:19

Program - 1 - Newton Raphson Method12:53
Program - 2 - Finding Minima of the Function: SciPy Library16:19
Program - 3 - Solve Linear Programming Problem - LPP11:52
This lecture demonstrates solving a linear programming problem using the simplex method. It shows converting constraints to ≤ form and obtaining the minimum objective value for x1, x2, x3.
Program - 4 - Symbolic Mathematics with Sympy Library17:54
Learn symbolic mathematics in Python for mechanical engineers using the sympy library to represent equations as symbols, perform polynomials, calculus, limits, differentiation, integration, series, and solve systems and matrices.

SFD and BMD GUI Calculator for Simply Supported Beam Part - 15:06
SFD and BMD GUI Calculator for Simply Supported Bean Part - 218:21
Develop a Python Tkinter GUI for a simply supported beam SFD and BMD calculator, with labeled inputs for beam length, point load, and distance from the left, plotting with Matplotlib.
SFD and BMD GUI Calculator for Simply Supported Bean Part - 316:55
SFD and BMD GUI Calculator for Simply Supported Bean Part - 49:15
Create a Tkinter graphical user interface that displays shear force and bending moment diagrams for a beam using Matplotlib figures and canvases, with grid layout and labeled axes.

Requirements

Understanding of concepts in mechanical engineering
No Prior Programming Knowledge Needed

Description

This Course will bring awareness of importance of python and applications of python in solving engineering problems. We will see some important libraries like SciPy, Numpy, Matplotlib, Pandas etc. used in scientific computation.

This course includes Python Programs on Mechanics, Machine Design, Fluid Mechanics, Thermal Science, Heat Transfer, Vibrations, Optimization etc. It has covered various types of plots including line plots and 2D,3D contours plots where we can use this in visualizing engineering data.

We will review how to make plots as well as how to make interactive plots, analyze test data and some optimization part.

It covers from basic to advanced programs in mechanical fields.

It has following sections

1. Basic Concepts in Python

2.Programs on Mechanics, Machine Design etc.

3. Programs on Mechanical Vibrations

4. Programs on Fluid Mechanics, Thermal Science and Heat Problems.

5. Programs on Engineering Mathematics

6. Some Advanced programs like FFT use, Filter, Data Analysis.

7. Build Interactive GUI application

What you will learn,

- Importance of python in mechanical fields in research and computations.

- Basics of Python programs from engineering point of view.

- Learn to solve engineering problems.

- Make yourself ready for one step ahead.

- You can build a project on yourself in your favorite domain.

- You will be able to use loops, functions, different libraries, custom functions to solve engineering problems.

Who this course is for:

Beginner Python user in mechanical, civil engineering field
All Level

Python for Mechanical Engineers

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 24min

Basics of Python5 lectures • 1hr 1min

Numpy Library - Working with Arrays/Matrices3 lectures • 31min

Plotting the data with Matplotlib Library for Python7 lectures • 1hr 21min

Programs on Mechanics, Machine Design7 lectures • 2hr 5min

Programs on Mechanical Vibration10 lectures • 2hr 31min

Programs on Thermal System6 lectures • 1hr 56min

Engineering Math4 lectures • 59min

Advanced Engineering Program4 lectures • 1hr 4min

Build Interactive GUI applications using Tkinter Librar - SFD and BMD Calculator4 lectures • 50min

Requirements

Description

Who this course is for: