Christopher Davis, UC Irvine

Matplotlib 2: The two Matplotlib interfaces

Pythonic code 4: Using f-strings and a lambda function to format a NumPy array

Logistic regression decision boundary with 3 classes

Python data types 6: Converting from one type to another

Random simulation using NumPy

Matplotlib 3: Multiple plots

NumPy 1: Regular arrays

Intro to Streamlit

Python data types 4: ints, floats, and bools

Newton's Method 3: Analyzing Newton's method

Variables in Matlab

Pythonic code 3: lambda functions

Pillow image processing 7: Changing colors using a Boolean mask

Python data types 7: Timing comparisons

Using a Pipeline for polynomial regression

NumPy 6: Logic in NumPy and Python

NumPy 5: Counting using NumPy

Linear regression using scikit-learn

StandardScaler

Alternating list 2: First version of the alternating function

Brief introduction to object-oriented programming 3: Defining a NamedColor class

Including StandardScaler in our Pipeline

Pillow image processing 8: Changing colors using np.where

Find all numeric columns

Random numbers in NumPy

NumPy 10: From binary to decimal, version 1

Bonus video - Matlab Unit 1

Python data types 2: lists, tuples, and sets

Pillow image processing 2: Images and NumPy arrays

Pythonic code 1: List comprehension

Python data types 1: lists and strings

Function handles