Transcription of 2.10. Sympy : Symbolic Mathematics in Python
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2.10. Sympy : Symbolic Mathematics in Python
Sympy : Symbolic Mathematics in Pythonauthor:Fabian PedregosaObjectives1. Evaluate expressions with arbitrary Perform algebraic manipulations on Symbolic Perform basic calculus tasks (limits, differentiation andintegration) with Symbolic Solve polynomial and transcendental Solve some differential is Sympy ? Sympy is a Python library for Symbolic Mathematics . It aims become a full featuredcomputer algebra system that can compete directly with commercial alternatives (Mathematica, Maple)while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPyis written entirely in Python and does not require any external documentation and packages for installation can be found on contentsFirst Steps with SymPyUsing Sympy as a calculatorExercisesSymbolsAlgebraic manipulationsExpandSimplifyExercisesCalc ulusLimitsDifferentiationSeries expansionExercisesIntegrationExercisesEq uation solvingExercisesLinear AlgebraMatricesDifferential First Steps with Using Sympy as a calculatorSymPy defines three numerical types: Real, Rational and Rational class represents a rational number as a pair of two Integers: the numerator and the denomi nator, so Rational(1,2) represents 1/2, Rational(5,2) 5/2 and so on: Sympy uses mpmath in the background, which makes it possible to perform computations using arbitrary-pr
2.10. Sympy : Symbolic Mathematics in Python author: Fabian Pedregosa Objectives 1. Evaluate expressions with arbitrary precision. 2. Perform algebraic manipulations on symbolic expressions. 3. Perform basic calculus tasks (limits, differentiation and integration) with symbolic expressions. 4. Solve polynomial and transcendental equations. 5.
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