What is a symbol in Sympy

This recipe explains what is a symbol in Sympy

Recipe Objective - What is a symbol in Sympy?

The symbol is the main class of the symPy library. Symbolic calculations are done with symbols. SymPy variables are objects of the Symbol class.

For more related projects -

https://www.projectpro.io/projects/data-science-projects/tensorflow-projects
https://www.projectpro.io/projects/data-science-projects/keras-deep-learning-projects

The argument to the Symbol() function is a string containing a symbol that can be assigned to a variable:

# Example 1

# Importing libraries
from sympy import Symbol

# Defining sympy Symbol
p = Symbol('p')
q = Symbol('q')

# Defining some expression
expression = (p**2)+(q**3)

expression

Output - 
𝑝2+π‘ž3

# Example 2

# Importing libraries
from sympy import Symbol

# Defining sympy Symbol
l = Symbol('length')
b = Symbol('breadth')

# Defining some expression
expression = (l**2)+(b**2)

expression

Output - 
π‘π‘Ÿπ‘’π‘Žπ‘‘π‘‘β„Ž2+π‘™π‘’π‘›π‘”π‘‘β„Ž2

# Example 3

# Importing libraries
from sympy.abc import p,q

# Defining some expression
expression = (p**2)+(q**3)

expression

Output - 
𝑝2+π‘ž3

In this way, we can use symbols in sympy.

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Build an End-to-End AWS SageMaker Classification Model
MLOps on AWS SageMaker -Learn to Build an End-to-End Classification Model on SageMaker to predict a patient’s cause of death.

Recommender System Machine Learning Project for Beginners-4
Collaborative Filtering Recommender System Project - Comparison of different model based and memory based methods to build recommendation system using collaborative filtering.

Learn to Build a Polynomial Regression Model from Scratch
In this Machine Learning Regression project, you will learn to build a polynomial regression model to predict points scored by the sports team.

Image Segmentation using Mask R-CNN with Tensorflow
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.

Build Real Estate Price Prediction Model with NLP and FastAPI
In this Real Estate Price Prediction Project, you will learn to build a real estate price prediction machine learning model and deploy it on Heroku using FastAPI Framework.

OpenCV Project to Master Advanced Computer Vision Concepts
In this OpenCV project, you will learn to implement advanced computer vision concepts and algorithms in OpenCV library using Python.

Mastering A/B Testing: A Practical Guide for Production
In this A/B Testing for Machine Learning Project, you will gain hands-on experience in conducting A/B tests, analyzing statistical significance, and understanding the challenges of building a solution for A/B testing in a production environment.

Multilabel Classification Project for Predicting Shipment Modes
Multilabel Classification Project to build a machine learning model that predicts the appropriate mode of transport for each shipment, using a transport dataset with 2000 unique products. The project explores and compares four different approaches to multilabel classification, including naive independent models, classifier chains, natively multilabel models, and multilabel to multiclass approaches.

AWS MLOps Project to Deploy Multiple Linear Regression Model
Build and Deploy a Multiple Linear Regression Model in Python on AWS

Deploy Transformer BART Model for Text summarization on GCP
Learn to Deploy a Machine Learning Model for the Abstractive Text Summarization on Google Cloud Platform (GCP)