Course on Python for Engineers – Fundamentals and Applications

About Course

Python is object-oriented, high-level programming language with dynamic semantics used by engineers to develop engineering applications. This course aims to teach the engineers on how to program and develop applications, software programs. This course will cover from basic installation of python to how to get started.


About Python 

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn’t catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python’s introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

More details on www.python.org

What Will I Learn?

  • Covers fundamental knowledge on Python
  • Understanding Python Implementation
  • Understanding Python Architecture
  • Knowledge using Tensor Analysis
  • Knowledge on numerical analysis method
  • How to program using Python
  • Application knowledge using Python

Topics for this course

31 Lessons60h

Python Programming Language – Preliminaries

What is Python
A brief history of Python – Why was it develop & evolution
Compiled and interpreted language
Python structure – Modules and Packages

Python installation and testing

Basic programming using Python

Advance concepts in Python – Data structures and functions

Python libraries

Data handling in python

Tensor analysis in python

Numerical analysis using python – Interpolation and curve fitting

Numerical analysis using python – System of linear algebraic equations

Numerical analysis using python

Numerical analysis using python – Numerical differentiation

Optimization problems in python

About the instructors

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9 Courses

22 students

Research Scientist, Centre for Sustainable Technologies; Indian Institute of Science; Bangalore CFD Trainer on VirtualEngineering Dr. Anand M Shivapuji is a Research Scientist in Indian Institute of Science has obtained PhD from Centre for Sustainable Technologies Indian Institute of Science, Bangalore, India and own A patent titled "A method and device for generating plasma activated water and achieving antimicrobial activity of the plasma activated water at near neutral pH conditions" with Dr L N Rao and Prof S Dasappa is under consideration with the IP Cell of IISc for filing. His core area of research are Thermodynamics, Combustion and gasification, Internal combustion engines, Fuel cells, Non thermal plasma Reaction kinetics, Numerical simulations, Non regular/Alternative fuels, Gas phase separation techniques AWARDS / RECOGNITIONS 2018 : Certificate of outstanding contribution in reviewing, Journal of Hydrogen Energy 2015 : Best visual presentation award at Asian Biomass Conference, Shanghai, China 2013 : Young researcher award from Korean Society of Combustion; Combustion Institute 2004 :University second rank holder in the M.Tech program
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3 Courses

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Material Includes

  • Python Learning Materials
  • Industrial Learning Materials


  • Knowledge of Programming
  • Knowledge of Engineering Maths

Target Audience

  • Students, Research Scholars
  • Working Engineers
  • Numerical Programmers
  • Engineering Software Developers