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
05.2 Variables and Assignment Operators

Variables II

In this video you saw that the following two are equivalent in terms of assignment:

x = 3
y = 4
z = 5

and

x, y, z = 3, 4, 5

However, the above isn’t a great way to assign variables in most cases, because our variable names should be descriptive of the values they hold.

Besides writing variable names that are descriptive, there are a few things to watch out for when naming variables in Python.

1. Only use ordinary letters, numbers and underscores in your variable names. They can’t have spaces, and need to start with a letter or underscore.

2. You can’t use reserved words or built-in identifiers that have important purposes in Python, which you’ll learn about throughout this course. A list of python reserved words is described here. Creating names that are descriptive of the values often will help you avoid using any of these words. A quick table of these words is also available below.

3. The pythonic way to name variables is to use all lowercase letters and underscores to separate words.

YES

my_height = 58
my_lat = 40
my_long = 105

NO

my height = 58
MYLONG = 40
MyLat = 105

Though the last two of these would work in python, they are not pythonic ways to name variables. The way we name variables is called snake case, because we tend to connect the words with underscores.

Previous
Next