Python for Mechanical Engineers

Python for Mechanical Engineers

  • 0% EMI Option Available
  • Pre-requisites : For Mechanical and Aerospace Engineers
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A Quick Overview

The Python for mechanical engineers course aims at helping students understand the basics of Python from a mechanical engineering perspective. Python is widely used in many industries owing to its ease of use and simple syntax. The course covers topics from the basic variable definition and covers the basic tools in Python to perform mathematical operations and data analysis of text files. 
This knowledge would be of use for mechanical engineers since Python offers widespread applications in the field of automation and data analysis.

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Download Syllabus


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1Introduction to Python

This module provides an introduction to Python using different mathematical operations and performing operations such as, 
  • Array manipulations
  • Plotting and understanding the relationship between 2 variables
  • Looping using one or more looping conditions

2Plotting and Visualization

In this module, you will write programs that plot the p-v line of an air standard cycle and also create animations for a robotic arm with 2 degrees of freedom and simulating the motion of a pendulum. 

In this module, you will learn the following, 
  • Understanding the relationship between 2 variables using plots
  • Saving plots and creating animations using ImageMagick
  • Using tables 

3Solving Dynamic Equations

In this module, you will learn to solve ordinary differential equations using the scipy module. This is of particular interest since differential equations govern the equations of motion for various mechanical systems and this method can be used to numerically solve initial value problems. 

  • Using odeint to solve initial value differential equations
  • Create a pendulum using the available coordinates
  • Plotting and saving images
  • Creating an animation using ImageMagick

4Curve Fitting and Regression

In this module, you will learn how to perform curve fitting using Python. Curve fitting finds widespread use in predicting the relationship between different variables for which an existing relationship doesn’t exist. Furthermore, curve fitting can also be used as a predictive tool in machine learning and AI to predict what will happen in the future using the trend of the plot. 

  • Curve fitting using the scipy module
  • Learning how to check how well the data has been fit

5Understanding Iterative Solvers

This module also covers iterative solvers, which find widespread use in the solution of polynomial equations and other aspects like understanding how to obtain the solution in the most optimized manner possible.
  • Using an iterative solver
  • Understanding how to use while loops

6Data Analysis

The final module of the coursework deals with data manipulation which is used in many industries like CAE and CFD to post-process the results from the simulation. This is particularly useful if the same simulation is run multiple times for different configurations and this code can be used to obtain the data automatically. 

At the end of this module, you will be able to, 
  • Taking data from a file and manipulate the data to create meaningful plots
  • Make necessary calculations
  • Automate the post-processing procedure

Projects Overview

Iterative Solver


In this project, you will learn to use the Newton-Raphson method, which is an iterative solver to solve for the solution of a polynomial equation. Here, you will be understanding the effects of using a relaxation factor and using plots and tables to visualize the results.

These are the steps involved in this project, 
  • Using an iterative solver
  • Understanding how to use while loops
  • Plotting and creating a table

Data Analysis


In this project, you will learn how to manipulate the data from a given text file and create plots for different variables based on user input. 

The steps involved in this project are,
  • Taking data from a file and manipulating the data to create meaningful plots.
  • Calculate engine parameters from the file for the given data
  • Write a program that is modular and can use the same logic to obtain data from files of the same type.


  • Students in Mechanical, Aerospace or Automotive engineering
  • This course is aimed towards helping anyone at any skill level gain a fundamental grasp of Python
  • To help you learn how to use Python to perform various mathematical operations as well as data manipulation


Flexible Course Fees

Choose the plan that’s right for you


1 Month Access


Per month for 3 months

  • Access Duration : 1 month
  • Mode of Delivery : Online
  • Project Portfolio : Available
  • Certification : Available
  • Email Support : Available
  • Forum Support : Available

Lifetime Access


Per month for 3 months

  • Access Duration : Lifetime
  • Mode of Delivery : Online
  • Project Portfolio : Available
  • Certification : Available
  • Individual Video Support : 12/month
  • Group Video Support : 12/month
  • Email Support : Available
  • Forum Support : Available
  • Telephone Support : Available
  • Dedicated Support Engineer : Available

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  • Top 5% of the class will get a merit certificate
  • Course completion certificates will be provided to all students
  • Build a professional portfolio
  • Automatically link your technical projects
  • E-verified profile that can be shared on LinkedIn


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Frequently Asked Questions

1Who are the instructors and what is the learning process?

Our instructors are industry experts working in Fortune 500 companies. We partner with them to deliver the lectures online. You will be given access to recorded content and assignments each week.

2Are there any prerequisites for this course?

You should be pursuing or have completed a B.E/B.Tech in Mechanical, Aerospace, Automotive, Production or Manufacturing.

3What kind of support I can expect? What if I have doubts?

Our support system is amazing!. You can read our reviews on Google to see this. We focus on one-on-one support which no one else does. We will communicate with you through videoconferencing, WhatsApp messages/calls, individual online sessions and also in person. Doubts and queries are addressed by a dedicated support engineer who is assigned to you to walk you through your problem areas and clarify any queries that you may have.

4How is this different from what I learnt in college?

Our courses are crafted after consultation with industry experts. This gives you the opportunity to apply what you have learned only as theory and work on projects that will give you a leg up in your career aspirations - be it an MS admit, a new job or growth within your organization. This course will help you bridge the gap between academia and industry and get you market-ready.

5What advantages will I gain by taking this course?

You will have an edge over your peers by working extensively on industry-relevant projects, practice on tools and software that will set you apart and help you in getting ahead of the competition. Our course will strengthen your portfolio to get better grants and scholarship opportunities for MS Admits, explore options in Research & Development, and land that much-coveted job in top core companies. 

6Do I get access to the software?

Python is an open-source software & available for free.

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