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Doing Math with Python - PyCon Australia, 2016
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Amit Saha
August 12, 2016
Education
1
52
Doing Math with Python - PyCon Australia, 2016
See my blog post for the demos:
https://doingmathwithpython.github.io/pyconau-dmwp.html
Amit Saha
August 12, 2016
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Transcript
Doing Math with Python Amit Saha https://echorand.me @echorand
Hi! I am @echorand (Thanks Facebook)
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
Demos and slides http://bit.ly/mathwithpython
Why “Math with Python”? Interactive and enriching teaching and learning
experience
How? Tools: Python 3, SymPy, matplotlib http://python.org http://sympy.org http://matplotlib.org/
How much Math? Algebra Basic statistics, sets and Probability
How much Math? Random numbers Basic Calculus
How much Python? Defining and Calling functions Loops and Basic
Data structures
How much Python? Creating objects, attributes Calling methods on objects
Let’s get started! Python as a ..
#1. Scientific Calculator math, statistics, others (Notebook: Scientific Calculator)
Question time!
How many lines in a program to do this? Output
Input
#2. Really Awesome Calculator How to do all the math
with Python? SymPy, matplotlib
SymPy Basics Programs which understand x and y (Notebooks: SymPy
Basics - 1, 2, 3)
Create a graph y = 2x2 + 2x + 1
(Notebook: Awesome Calculator - 1)
Solve equations 2x2 + 2x + 1 = 0 (Notebook:
Awesome Calculator - 2)
Solve inequalities sin(x) + 1 <= 0 (Notebook: Awesome Calculator
- 3)
Question time!
Limit of a function (Notebook: Awesome Calculator - 4)
Derivative of a function (Notebook: Awesome Calculator - 5)
Integral of a function (Notebook: Awesome Calculator - 6)
Definite Integral of a function (Notebook: Awesome Calculator - 7)
#3. More than smart calculators Interactive notebooks, Animations
Uniform and Non-uniform random numbers (Notebook: Uniform and Non-uniform Random
numbers)
Interactive Notebooks (Notebook: Interactive Notebook Demo)
Interactive Barnsley Fern Non-uniform random numbers (Notebook: Interactive Barnsley Fern)
Interactive Mandelbrot Set (Notebook: Interactive Mandelbrot Set)
Animations (Notebook: Projectile Motion, py-files: projectile_animation.py)
Great base for the future Data Science, Machine Learning (Notebooks:
Gradient Descent, Simple Linear Regression)
That’s all.
[email protected]
@mathwithpython Check out: https://doingmathwithpython.github.io