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
34.2: Solution. More With Dictionaries

Solution:
# TODO: Create a dictionary to store the contact information of several people
# The keys should be the names of the people and the values should be dictionaries containing their phone numbers and email addresses
contacts = {
“Alice”: {
“phone”: “555-123-4567”,
“email”: “alice@example.com”
},
“Bob”: {
“phone”: “555-987-6543”,
“email”: “bob@example.com”
}
}

# TODO: Print the contact information of Alice
print(“Alice’s Contact Information:”)
print(f”Phone: {contacts[‘Alice’][‘phone’]}”)
print(f”Email: {contacts[‘Alice’][’email’]}”)

# TODO: Add a new contact named Charlie with phone number ‘555-222-3333’ and email address ‘charlie@example.com’
contacts[“Charlie”] = {
“phone”: “555-222-3333”,
“email”: “charlie@example.com”
}

# TODO: Update Bob’s phone number to ‘555-444-5555’
contacts[“Bob”][“phone”] = “555-444-5555”

# TODO: Delete the contact information of Alice
del contacts[“Alice”]

# TODO: Print the updated contact list
print(“Updated Contact List:”)
for name, info in contacts.items():
print(f”{name}:”)
print(f” Phone: {info[‘phone’]}”)
print(f” Email: {info[’email’]}”)

# TODO: Check if a contact named David exists in the contact list
if “David” in contacts:
print(“David’s contact information exists.”)
else:
print(“David’s contact information does not exist.”)

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