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One Day Workshop on SymPy: A Python Library for Symbolic Mathematics

Course Instructor Coordinator Dr. Mehar Chand

FREE

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Course Overview

Note: There is no registration fee, but for registration click on buy, then click on pay now. Further click on create a new account, submit the detail and verify your registered email.  All the updates will be on this page for this event.

Important Dates

Last Date of Registration: 21 December 2022

Event Date: 22 December 2022

Srinivasa Ramanujan (1887-1920)

Srinivasa Ramanujan was an eminent Indian mathematician and autodidact. Ramanujan's name shines brightly in the field of mathematics as he made extraordinary contributions to mathematical analysis, number theory, infinite series, and continued fractions.

About SymPy

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python.

Why SymPy

SymPy is…

  • Free: Licensed under BSD, SymPy is free both as in speech and as in beer.
  • Python-based: SymPy is written entirely in Python and uses Python for its language.
  • Lightweight: SymPy only depends on mpmath, a pure Python library for arbitrary floating point arithmetic, making it easy to use.
  • A library: Beyond use as an interactive tool, SymPy can be embedded in other applications and extended with custom functions.

Learn Computing Mathematics with Python by doing!

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.

The main objective of this course is to provide a comprehensive overview of symbolic Mathematics and Computing with Python and its applications in Engineering, Sciences, and Mathematics.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, and some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or computing background you will be successful in this course!

Who is this course for?

  • This course is for you if you want to learn how to program with Python
  • This course is for you if you want to enhance your computing skills
  • This course is for you if you want to write programs to solve complex problems in Mathematics, Science, and Engineering
  • This course is for you if you want to learn AI, ML, DL and their applications
  • This course is for you if you want to be Data Scientist/ Analytic
  • This course is for you if you want to use Python for Numerical Methods, Optimization Techniques, Computational Physics, Computing Quantum Mechanics, Mathematical Modelling, etc.

What are the requirements or prerequisites for taking your course?

No programming experience is needed. You will learn everything you need to know.

Resource Person

Dr. Mehar Chand: Department of Mathematics, Faculty of Computational and Mathematical Sciences, Baba Farid College, Bathinda, INDIA

Coordinator(s)

  • Dr. Mahendra D. Shinde: Associate professor, Head, Department of Physics, Sandip University, Nasik, Maharashtra, INDIA
  • Megha Kishor Kothawade: Department of Mathematics, Sandip University, Nasik, Maharashtra, INDIA
  • Dr. Karamjit Kaur: Principal Dasmesh Girls College,  Mukerian, INDIA
  • Shikha Sharma: Department of Mathematics, Principal Dasmesh Girls College, Mukerian, INDIA
  • Dr. Aparna Chaturvedi Misra: Department of Mathematics and Computer Science, TIPS GGSIP University, Delhi, INDIA
  • Dr. Surabhi Shanker: Department of Computer Science and Information Technology, TIPS GGSIP University, Delhi, INDIA
  • Mr. Jatin Bansal:  Department of Mathematics, Baba Farid College, Bathinda, India
  • Dr. Bharti Kapoor: Department of Mathematics, Sri Guru Teg Bahadur Khalsa College, Sri Anandpur Sahib, INDIA
  • Dr. Madhuchanda Rakshi: Department of Applied Sciences, GKU, Bathinda, INDIA
  • Dr. Bharti V. Nathwani: Department of Mathematics, Amity School of Applied Sciences, Amity University, Mumbai, INDIA
  • Dr. Daljeet Kaur: Department of Applied Sciences, GKU, Bathinda, INDIA

How to join?

Follow the following instructions

1. Click on the link: Click here

2. Click on Buy Now

3. Click on Pay Now

4. Sign in with your Google account

5. Click on access the course

6. Join the meeting (Meeting will show to you when it will live/start)

How to register for this event?

For registration, participants have to buy the ticket at zero price,  then signup and complete the process. All the details about the event will be updated in your account. No extra link will be sent to join the sessions. You need to log in and sign in to join the session. For more details Click here

organized by

MathTech Thinking Foundation, INDIA

(An International Association for Science, Technology, Engineering and Mathematics professionals)

 in collaboration with

Trinity Institute of Professional Studies Dwarka Delhi

Dasmesh Girls College, Mukerian (Punjab) INDIA

&

Aditya College of Engineering, Madanapalle, AP, INDIA

Schedule of Classes

Start Date & End Date

Dec 22 2022 - Dec 22 2022

Total Classes

2 Classes

Course Curriculum

1 Subject

One Day Webinar on SymPy: A Python Library for Symbolic Mathematics

0 Exercises 0 Learning Materials

Course Instructor

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Coordinator Dr. Mehar Chand

12 Courses   •   3695 Students