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

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21. Another String Method – Split

Another important string method: split()

A helpful string method when working with strings is the .split method. This function or method returns a data container called a list that contains the words from the input string. We will be introducing you to the concept of lists in the next video.

The split method has two additional arguments (sep and maxsplit). The sep argument stands for “separator”. It can be used to identify how the string should be split up (e.g., whitespace characters like space, tab, return, newline; specific punctuation (e.g., comma, dashes)). If the sep argument is not provided, the default separator is whitespace.

True to its name, the maxsplit argument provides the maximum number of splits. The argument gives maxsplit + 1 number of elements in the new list, with the remaining string being returned as the last element in the list. You can read more about these methods in the Python documentation too.

Here are some examples for the .split() method.

  1. A basic split method:
new_str = "The cow jumped over the moon."
new_str.split()```
Output is:

Python
[‘The’, ‘cow’, ‘jumped’, ‘over’, ‘the’, ‘moon.’]“`

  1. Here the separator is space, and the maxsplit argument is set to 3.
new_str.split(' ', 3) ```
Output is:

Python
[‘The’, ‘cow’, ‘jumped’, ‘over the moon.’]“`

  1. Using ‘.’ or period as a separator.
new_str.split('.')```
Output is:

Python
[‘The cow jumped over the moon’, ”]“`

  1. Using no separators but having a maxsplit argument of 3.
new_str.split(None, 3)```
Output is:

Python
[‘The’, ‘cow’, ‘jumped’, ‘over the moon.’]“`

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