{ "metadata": { "name": "", "signature": "sha256:a8af92a8c641e7042d9850c27a420d6398556a582dddc3d5298f6d06777a7900" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Tutorial Brief" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "SymPy is symbolic mathematics library written completely in Python and doesn't require any dependencies.\n", "\n", "Finding Help:\n", "\n", "- http://docs.sympy.org/latest/index.html\n", "- http://sympy.org/en/features.html\n", "- http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-5-Sympy.ipynb" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " | NumPyBase N-dimensional array package | \n",
" \n", " | SciPyFundamental library for scientific computing | \n",
" \n", " | MatplotlibComprehensive 2D Plotting | \n",
"
\n", " | IPythonEnhanced Interactive Console | \n",
" \n", " | SymPySymbolic mathematics | \n",
" \n", " | PandasData structures & analysis | \n",
"