Solving Math Problems with Python
SAT Score Range
•
13 sessions
•
AS
PA
TN
+7
This series ended on April 30, 2022. All 1:1 and group chats related to this series are disabled 7 days after the last session.
About
We are currently working through the first 100 Project Euler problems.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. https://projecteuler.net/
We have also reviewed using Python to solve Khan Academy problems; this was a teaching session which I may repeat by popular demand.
We will be using Python (version 3.8 or higher) and the numpy and sympy packages.
I strongly recommend installing and using Anaconda Spyder for this series: https://www.anaconda.com/products/individual
Alternatively, you can use an online Python session like:
https://www.pythonanywhere.com/try-ipython/
Please make sure you can run successfully (i.e. with no error) before registering for this series:
import numpy as np, sympy
Based on participant interest, we can look at some advanced topics: Computing limits, derivatives, and integrals numerically; Linear algebra; How computers represent numbers internally and numerical stability; Optimization
Tutored by
Schedule
✋ ATTENDANCE POLICY
You are free to attend/skip whichever sessions you want.
SESSION 1
26
Feb
SESSION 1
Even More Math
Even More Math
Sat 10:00 PM - 11:00 PM UTCFeb 26, 10:00 PM - 11:00 PM UTC
We will be using Python (version 3.8 or higher) and the numpy and sympy packages.
I strongly recommend installing and using Anaconda Spyder for this series: https://www.anaconda.com/products/individual
Alternatively, you can use an online Python session like:
https://www.pythonanywhere.com/try-ipython/
Please make sure you can run successfully (i.e. with no error) before registering for this series:
import numpy as np, sympy
In this first session we will cover: Using Python as a basic calculator; Variables; Integers and floating numbers; Complex numbers; Doing symbolic mathematics with sympy;
SESSION 2
2
Mar
SESSION 2
Even More Math
Even More Math
Wed 10:00 PM - 11:00 PM UTCMar 2, 10:00 PM - 11:00 PM UTC
Advanced topics: Graphing with matplotlib and sympy
SESSION 3
9
Mar
SESSION 3
Even More Math
Even More Math
Wed 10:00 PM - 11:00 PM UTCMar 9, 10:00 PM - 11:00 PM UTC
Project Euler Problems
SESSION 4
17
Mar
SESSION 4
Even More Math
Even More Math
Thu 10:00 PM - 10:40 PM UTCMar 17, 10:00 PM - 10:40 PM UTC
Project Euler Problems
SESSION 5
24
Mar
SESSION 5
Even More Math
Even More Math
Thu 10:00 PM - 10:40 PM UTCMar 24, 10:00 PM - 10:40 PM UTC
Project Euler Problems
SESSION 6
31
Mar
SESSION 6
Even More Math
Even More Math
Thu 10:00 PM - 10:40 PM UTCMar 31, 10:00 PM - 10:40 PM UTC
We will be working through the first 100 Project Euler Problems.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Visit the website for more info.
https://projecteuler.net/
SESSION 7
3
Apr
SESSION 7
Even More Math
Even More Math
Sun 10:00 AM - 11:00 AM UTCApr 3, 10:00 AM - 11:00 AM UTC
This is a repeat of the very first session in the series.
We will be using Python (version 3.8 or higher) and the numpy and sympy packages.
I strongly recommend installing and using Anaconda Spyder for this series: https://www.anaconda.com/products/individual
Alternatively, you can use an online Python session like:
https://www.pythonanywhere.com/try-ipython/
Please make sure you can run successfully (i.e. with no error) before registering for this series:
import numpy as np, sympy
In this first session we will cover: Using Python as a basic calculator; Variables; Integers and floating numbers; Complex numbers; Doing symbolic mathematics with sympy;
SESSION 8
7
Apr
SESSION 8
Even More Math
Even More Math
Thu 10:00 PM - 11:00 PM UTCApr 7, 10:00 PM - 11:00 PM UTC
We will be working through the first 100 Project Euler Problems.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Visit the website for more info.
https://projecteuler.net/
SESSION 9
14
Apr
SESSION 9
Even More Math
Even More Math
Thu 10:00 PM - 11:00 PM UTCApr 14, 10:00 PM - 11:00 PM UTC
We will be working through the first 100 Project Euler Problems.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Visit the website for more info.
https://projecteuler.net/
SESSION 10
21
Apr
SESSION 10
Even More Math
Even More Math
Thu 10:00 PM - 11:00 PM UTCApr 21, 10:00 PM - 11:00 PM UTC
We will be working through the first 100 Project Euler Problems.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Visit the website for more info.
https://projecteuler.net/
SESSION 11
23
Apr
SESSION 11
Even More Math
Even More Math
Sat 11:00 AM - 12:00 PM UTCApr 23, 11:00 AM - 12:00 PM UTC
We will be working through the first 100 Project Euler Problems.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Visit the website for more info.
https://projecteuler.net/
SESSION 12
28
Apr
SESSION 12
Even More Math
Even More Math
Thu 10:00 PM - 10:40 PM UTCApr 28, 10:00 PM - 10:40 PM UTC
We will be working through the first 100 Project Euler Problems.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Visit the website for more info.
https://projecteuler.net/
SESSION 13
30
Apr
SESSION 13
Even More Math
Even More Math
Sat 11:00 AM - 11:40 AM UTCApr 30, 11:00 AM - 11:40 AM UTC
Linear Algebra for Machine Learning
I found these slides I made a long time ago when I was teaching a machine learning class at the Gatsby Unit -- we'll go over the Linear Algebra section of this https://drive.google.com/file/d/1Dx3HAq4gZKgQWf8tXkbpxWMnVRuWYlXc/view?usp=sharing
We'll also play a bit with Octave in addition to Python; you can use an online Octave interpreter here: https://octave-online.net/