Symbolic computation is the use of algorithms and software to perform exact calculations on symbolic mathematical expressions. It has traditionally been the preserve of monolithic computer algebra systems. SymPy puts its power within easy reach of all Python programmers, just an import statement away.
Instant SymPy Starter is an introduction to the exciting world of symbolic computation in Python. With hands-on examples and practical advice, you will learn everything you need to integrate SymPy into your workflow and to make the best use of its functionalities.
Table of Contents
So, what is SymPy?
Installation
Step 1 – Trying it out online
Step 2 – Installing the environment
Step 3 – Installing SymPy
Step 4 – Configuring the notebook
And that’s it
Quick start – Automated curve sketching
Step 1 – Handling the input
Step 2 – Finding the domain of definition
Step 3 – Finding the local extrema
Step 4 – Computing the asymptotes
Step 5 – Plotting the curve
Step 6 – Building the figure
Top 5 features you’ll want to know about
Creating expressions
Symbols
Functions
Manipulating expressions
The structure of expressions
Querying properties
Substitution
Simplification
Checking for mathematical equality
Numerical evaluation
Floating-point numbers
Compiling expressions
Calculus
Derivatives
Limits
Integrals
Taylor series
Solving equations
People and places you should get to know
Official sites
Articles and tutorials
Community
Blogs
Twitter
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