Lesson List

Welcome to AI Programming with Python

Start using AI techniques and developing skills related to programming, linear algebra, and neural networks.

Why Python Programming

Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.

Data Types and Operators

Control Flow

Functions

Scripting

Lab Classifying Images

In this project, learners will be testing their newly-acquired Python coding skills by using a trained image classifier. They will need to use the trained neural network to classify images of dogs (by breeds) and compare the output with the known dog breed classification. Learners will have a chance to build their own functions, use command line arguments, test the runtime of the code, create a dictionary of lists, and more.

NumPy

Learn how to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib.

Pandas

Matplotlib and Seaborn Part 1

Learn how to use Matplotlib to choose appropriate plots for one and two variables based on the types of data you have.

Matplotlib and Seaborn Part 2

Introduction

Learn the foundational math needed for AI success—vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.

Vectors

Linear Combination

Linear Transformation and Matrices

Vectors Lab

Linear Combination Lab

Linear Mapping Lab

Linear Algebra in Neural Networks

Introduction to Neural Networks

Gain a solid foundation in the latest trends in AI: neural networks, deep learning, and PyTorch.

Implementing Gradient Descent

Training Neural Networks

Deep Learning with PyTorch

Create Your Own Image Classifier

How Do I Continue From Here

Go to course home
25.2 List Methods

Useful Functions for Lists II

join method

Join is a string method that takes a list of strings as an argument, and returns a string consisting of the list elements joined by a separator string.

new_str = "n".join(["fore", "aft", "starboard", "port"])
print(new_str)

Output:

fore
aft
starboard
port

In this example we use the string "n" as the separator so that there is a newline between each element.
We can also use other strings as separators with .join. Here we use a hyphen.

name = "-".join(["García", "O'Kelly"])
print(name)

Output:

García-O'Kelly

It is important to remember to separate each of the items in the list you are joining with a comma (,). Forgetting to do so will not trigger an error, but will also give you unexpected results.

append method

A helpful method called append adds an element to the end of a list.

letters = ['a', 'b', 'c', 'd']
letters.append('z')
print(letters)

Output:

['a', 'b', 'c', 'd', 'z']
 

Try It Out!

In the beginning of the first video, you saw how the behaviour of variables containing mutable and immutable objects is very different and might even seem surprising at times! Experiment, use the print functions and double-check your work where you can, to make sure that your programs correctly keep track of their data. While you experiment with lists, try out some of the useful functions above.

Previous
Next