NumPython: A Workshop on Numerical Analysis

NumPython: A Workshop on Numerical Analysis

From: ₹200.00

Last Date of Registration :  4th February, 2026

SKU: IIT Gandhinagar | Date : 7th & 8th February, 2026 Categories: , ,

Description about the workshop

Computing forms a key component of Numerical Analysis. This workshop aims to develop an understanding of how to translate numerical ideas into efficient code. The programming language used will be Python, though the concepts and techniques are easily transferable to other languages.

Profile of the Instructor

Dr. Abhinav Jha is an Assistant Professor in the Department of Mathematics at the Indian Institute of Technology Gandhinagar. His research interests lie in Numerical Analysis and Scientific Computing. In addition to the theoretical analysis of numerical methods, he has a strong interest in their efficient and robust implementation on modern computing architectures. His work includes two large-scale computational projects—one developed in C++ and the other in FORTRAN—focusing on the numerical solution of partial differential equations.

Modules of the Course

Day Module name Concepts covered Live sessions - No. of hours Assessment Learning outcomes
7/02/26 Basic Review of Python Variables, Conditional Statements, Iterative Statements, Function Definition 1.5 Hours Code basic Python programs Learn basics of coding using Python
7/02/26 Root-Finding Methods Bisection Method, Fixed-Point Methods, Newton Method 1.5 Hours Apply the methods for a set of functions and interpret their behaviour Learn Solution of Equations in One Variable
8/02/26 Interpolation Polynomial Interpolation, Lagrange Interpolation, Newton Divided Difference Methods 2 Hours Apply the methods on a given set of data and interpret them Learn basics of interpolation

Fee for the Workshop

Student – Rs. 236 (Rs. 200 + 18% GST) Faculty – Rs. 590 (Rs. 500 + 18% GST)  

Session Details

Dates of the Workshop : 7th & 8th February, 2026

Mode of the Workshop : Online

Timings of the Session : 

  • Saturday (7th Feb, 2026) - 10:00 am - 1:00 pm (IST)
  • Sunday (8th Feb, 2026) - 10:00 am - 12:00pm (IST) 

Intended Audience, Eligibility & Pre - requisite

Intended Audience: UG, PG, and PhD Students. PostDocs/Faculty Eligibility:  Basics of Pythons are expected. If the students want, the basics can also be covered in the preliminary classes. Pre - requisite: Python will be used. It is a free version.

Certification Criteria

Attendance and Assignment are mandatory for obtaining the certificate.

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