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Aaron Meurer, Sangyub Lee, Anutosh Bhat - SymPy Introductory Tutorial | SciPy 2023
Get an introduction to SymPy, a Python library for symbolic mathematics, and learn how to use its functions, methods, and features for a wide range of mathematical tasks and applications.
- SymPy is a Python library for symbolic mathematics and it allows you to manipulate mathematical expressions in the same way you manipulate strings.
- The main objects in SymPy are NumPy arrays and matrices, but they are also Immutable and cannot be changed once created.
- The simplest way to use SimPy is to import it and start using its functions and methods, and SimPy has a wide range of functions for symbolic math, including support for polynomials, rational numbers, and derivatives.
- One of the key features of SymPy is its ability to perform symbolic manipulation, including simplification and expansion of expressions.
- SymPy also has a powerful solving system that can solve equations and inequalities, and it has a wide range of applications, including physics, engineering, and mathematics.
- Another key feature of SimPy is its ability to perform numerical evaluation, and it can be used to perform calculations with arbitrary precision.
- SymPy is also very flexible, and it can be used for a wide range of tasks, from simple mathematical calculations to complex simulations.
- You can also use SymPy to perform plotting and data visualization, and it has a wide range of libraries and tools for this purpose.
- The user interface of SimPy is similar to Python, and it is very easy to use, although it requires some knowledge of mathematical concepts.
- SymPy is widely used in many fields, including physics, engineering, and mathematics, and it has a large and active community of users and developers.