This is a diagram of the string "Hello": String: H e l l o They are associated to the character at that position. An index is an integer that represents a specific position in the string. We can use indices to access the characters of a string in our Python program. For example: 'My favorite book is "Sense and Sensibility"' String Indexing If we define a string with single quotes '', then we can use double quotes within the string. If we define a string with double quotes "", then we can use single quotes within the string. □ Tip: Spaces are also counted as characters in a string. Strings can contain any character that we can type in our keyboard, including numbers, symbols, and other special characters. Whenever you see a value surrounded by single or double quotes in Python, that is a string. □ Tip: Yes! You used a string when you wrote the "Hello, World!" program. They are both valid and equivalent, but you should choose one of them and use it consistently throughout the program. We can use both single quotes '' or double quotes "" to define a string. They contain a sequence of characters and they are usually used to represent text in the code.įor example: "Hello, World!" 'Hello, World!' The first argument will be the real part and the second argument will be the imaginary part. You can create complex numbers in Python with complex(). Here we have some examples: > type(4.5)Ĭomplex numbers have a real part and an imaginary part denoted with j. If we call type() to check the data type of these values, we will see this as the output: You can detect them visually by locating the decimal point. If the output is, then the number is an integer.įloats are numbers with decimals. You can check if a number is an integer with the type() function. These are the numeric types that you can work with in Python: Integers Numeric Data Types in Python: Integers, Floats, and Complex Each one has its own particular applications. We have several basic data types and built-in data structures that we can work with in our programs. □ Data Types and Built-in Data Structures in Python Now let's start learning about the data types and built-in data structures that you can use in Python. You just wrote your first Python program. Most developers start learning how to code by writing this program. □ Tip: Writing a "Hello, World!" program is a tradition in the developer community. You will see this message after running the program: "Hello, World!" You just need to call the print() function and write "Hello, World!" within parentheses: print("Hello, World!") Here's an interactive scrim to help you understand variable definitions in Python: □ Hello, World! Program in Pythonīefore we start diving into the data types and data structures that you can use in Python, let's see how you can write your first Python program. □ Tip: The Style Guide for Python Code (PEP 8) has great suggestions that you should follow to write clean Python code. If the name of a variable has more than one word, then the Style Guide for Python Code recommends separating words with an underscore "as necessary to improve readability." In Python, we use this syntax to create a variable and assign a value to this variable: = įor example: age = 56 name = "Nora" color = "Blue" grades = The most basic building-block of any programming language is the concept of a variable, a name and place in memory that we reserve for a value. For example, means that this will be replaced by a variable when we write the code. □ Tip: throughout this article, I will use to indicate that this part of the syntax will be replaced by the element described by the text.
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