Basic Data Types in Python 3: Strings

Basic Data Types in Python 3: Strings

There is a lot to learn on your Python journey when you are new to the programming language. Once you are comfortable writing and executing code, your first stop becomes understanding how to represent data in your code. No matter the language, there are a few basic data types you'll use all the time - strings, numbers, booleans, lists, and dictionaries.

Those data types, and how to use them in Python 3, are the topic of this blog post series. Today, we're starting with strings.

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Ready to learn how to use strings in Python 3? Let's get started!

Strings in Python 3

One of the most common data types in any programming language is a string. A string represents a series of characters, which you would use to represent usernames, blog posts, tweets, or any text content in your code. You can create a string and assign it to a variable like this.

    my_name = "Jonathan Joestar"

Strings are "immutable"

In Python, strings are considered immutable - once you create them, they can't be changed. You can, however, use a variety of methods to create new strings from existing strings. This type of work in programming is called string manipulation. Some web developers joke that at the end of the day, their job is just mashing strings together - and this isn't far from the truth!

Here are some common tasks you might undertake when using strings in your code.

Common task - combining strings together

Combining strings together - concatenating them - is a very common task. In Python 3, you can use the + operator for this purpose. You can use the + operator multiple times to concatenate multiple strings.

    first_name = "Jonathan"
    last_name = "Joestar"

    full_name = first_name + " " + last_name

Common task - inserting data into strings

Another common task with strings is inserting data into a specific place within a string. In programming, we call this string interpolation. Python 3 provides a handy tool for doing this called "f" strings. The "f" in "f strings" stands for format - you can insert other data from your program into a string when you define it rather than doing complex string concatenation as demonstrated previously.

Here is an example of creating a formatted string - note the letter f is included just before the first double quote when defining the message variable. When you want to insert data from your program into the string, you can include it between two "curly braces" - the { and } characters.

  first_name = "Jonathan"
  last_name = "Joestar"
  age = 24

  message = f"My name is {first_name} {last_name}, and I am {age} years old."
  print(message)

Common task - using built-in string methods to manipulate strings

String objects have a number of methods to perform common tasks, like changing the case of strings or trimming their content. Below, you'll find a few examples. In two of these examples, we are creating a string variable, and then assigning the same variable a new value, which is the result of calling a method on a string object.

Example 1: Convert a string to all caps using the upper method.

  example_string = "am I stoked enough yet?"
  example_string = example_string.upper()
  print(example_string) # prints "AM I STOKED ENOUGH YET?"

Example 2: Replace all instances of the word kale with tacos.

  example_string = "We're having kale for dinner! Yay kale!"
  example_string = example_string.replace("kale", "tacos")
  print(example_string) # prints "We're having tacos for dinner! Yay tacos!"

Example 3: Split a comma-delimited string into a list of strings.

  example_string = "Apples,Oranges,Pears"
  groceries = example_string.split(',')

  # Code below prints:
  # Apples
  # Oranges
  # Pears
  for item in groceries:
   print(item)

Check our more strings can do in the Python 3 docs

Type casting

Frequently, you will want to convert data from one type into another. In programming, we call this process type casting. There are a number of functions built in to Python which allow us to do these type conversions on basic data types.

Example 1: Convert a number into a string using the str function.

 example_number = 42
 converted = str(example_number)
 message = "The meaning of life is " + converted

Example 2: Convert a string into a whole number (integer) using int.

  example_string = "2"
  converted = int(example_string)
  message = f"Two plus two equals { converted + 2 }"

Wrapping up

Strings of text are one of the most common pieces of data you will work with in programming. Hopefully, you've learned a bit about how to work with strings in Python 3! Stay tuned for more blog posts in this series to learn more about basic data types like strings, numbers, booleans, lists, and dictionaries.

Also, be sure to download and play TwilioQuest 3 to learn even more about Python!