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Doing Math with Python Amit Saha https://echorand.me @echorand

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Hi! I am @echorand (Thanks Facebook)

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About me Author of “Doing Math with Python”, No Starch Press, August, 2015 Contributor to SymPy, CPython, creator/maintainer of Fedora Scientific Contact: @echorand, [email protected], http://echorand.me

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Demos and slides http://bit.ly/mathwithpython

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Why “Math with Python”? Interactive and enriching teaching and learning experience

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How? Tools: Python 3, SymPy, matplotlib http://python.org http://sympy.org http://matplotlib.org/

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How much Math? Algebra Basic statistics, sets and Probability

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How much Math? Random numbers Basic Calculus

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How much Python? Defining and Calling functions Loops and Basic Data structures

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How much Python? Creating objects, attributes Calling methods on objects

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Let’s get started! Python as a ..

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#1. Scientific Calculator math, statistics, others (Notebook: Scientific Calculator)

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Question time!

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How many lines in a program to do this? Output Input

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#2. Really Awesome Calculator How to do all the math with Python? SymPy, matplotlib

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SymPy Basics Programs which understand x and y (Notebooks: SymPy Basics - 1, 2, 3)

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Create a graph y = 2x2 + 2x + 1 (Notebook: Awesome Calculator - 1)

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Solve equations 2x2 + 2x + 1 = 0 (Notebook: Awesome Calculator - 2)

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Solve inequalities sin(x) + 1 <= 0 (Notebook: Awesome Calculator - 3)

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Question time!

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Limit of a function (Notebook: Awesome Calculator - 4)

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Derivative of a function (Notebook: Awesome Calculator - 5)

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Integral of a function (Notebook: Awesome Calculator - 6)

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Definite Integral of a function (Notebook: Awesome Calculator - 7)

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#3. More than smart calculators Interactive notebooks, Animations

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Uniform and Non-uniform random numbers (Notebook: Uniform and Non-uniform Random numbers)

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Interactive Notebooks (Notebook: Interactive Notebook Demo)

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Interactive Barnsley Fern Non-uniform random numbers (Notebook: Interactive Barnsley Fern)

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Interactive Mandelbrot Set (Notebook: Interactive Mandelbrot Set)

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Animations (Notebook: Projectile Motion, py-files: projectile_animation.py)

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Great base for the future Data Science, Machine Learning (Notebooks: Gradient Descent, Simple Linear Regression)

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That’s all. [email protected] @mathwithpython Check out: https://doingmathwithpython.github.io