If we are certain that we intend to extract all characters from position 5 to the end of the string, there is no need to employ the `string[5 : ending_index]` syntax. Python offers a diverse array of built-in functions, and it adjusts its syntax to suit your specific needs.    
Let’s look at this phrase:

string = "Push beyond your limits"
phrase = string[5:]

print(phrase)

Alternatively, this also applies when you require the extraction of a phrase starting **from the initial point up to a specified index**:

string = "Push beyond your limits"
phrase = string[:11]
print(phrase)

This course is going to help you dive deeper into data types and try to work with them. Here you will learn basic operations and all ins and outs of numbers, boolean data type, and strings. This course consists of a lot of practical tasks after which you will become a skillful programmer.

Numerical data types are fundamental in Python, forming the backbone of many computational tasks. In this section, you'll dive into the essentials of working with integers and floating-point numbers, performing basic mathematical operations, and understanding the real-world applications of numerical data. You'll also explore critical concepts such as immutability and gain hands-on experience with Python’s built-in functions and tools for handling numbers effectively.

The main goal of this section is to clarify the boolean data types; it's a sub type of numeric data, but indeed it is more challenging. Since it is always better to excel in the more difficult topics, this section is a valuable part of your curriculum.

Strings are a way for us to implement your phrases in Python, that is, to give instructions to users who are the target audience of your program. Indeed, it is always better to be able to work with strings because they should be used in your code. You'll understand why soon.

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.

Slice the Phrase

Solution

Slice the Phrase

Solution