All types are classes in Python. There are just a few fundamental types, including numerics, strings, and logicals. This is an overview of those types.
- [Male Voice] There are just a few fundamental data types in Python. Here in Komodo, I've opened a working copy of types.py from chapter three of the exercise files. You'll notice down here on line four, there's a variable X and it's assigned the value seven, the constant number seven. And you'll notice on line six, I print the type of the variable X. So type is a built-in function that prints the type of a value or variable.
And so when I save and run this you'll notice that it says that the type is class 'int'. That's the integer type. It's one of the built-in types. Python uses a form of dynamic typing sometimes called duck typing where the type of a value is determined by the value itself. In other words, if it walks like a duck, it's a duck. So if I change this value to say 7.0 and I save and run it, you see now it's class 'float'. So it's a floating point number.
And if I put that in quotes now it's a string and so if I save and run this it says class string. Str is the name of the built-in class for the string type in Python. If I change it to the word true with a capital T, save and run, now it's class 'bool' 'cause that's the Boolean type. And if I change it to none, again with a capital N, this is the built-in type for not a value.
And so it says class 'NoneType' which is the name of that type. So these are the fundamental built-in types. Python is designed to be extensible so it's easy to create your own types within its object system. And we'll cover these built-in types in more detail in the rest of this chapter.
Author
Released
1/18/2018- Python anatomy
- Types and values
- Conditionals and operators
- Building loops
- Defining functions
- Python data structures: lists, tuples, sets, and more
- Creating classes
- Handling exceptions
- Working with strings
- File input/output (I/O)
- Creating modules
- Integrating a database with Python db-api
Skill Level Intermediate
Duration
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Introduction
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Welcome55s
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Exercise files1m 23s
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About Python 32m 53s
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1. Installation
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2. Language Overview
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Hello world1m 57s
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Python anatomy4m 36s
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Expressions and statements2m 38s
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Whitespace and comments3m 26s
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Using print()3m 56s
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Blocks and scope4m 2s
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Conditionals3m 49s
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Loops3m 7s
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Functions4m 50s
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Objects3m 26s
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3. Types and Values
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Overview of types and values1m 52s
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The string type7m 25s
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Numeric types5m 56s
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The bool type3m 20s
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Sequence types5m 46s
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type() and id()5m 50s
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4. Conditionals
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Conditional syntax2m 26s
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Conditional assignment1m 50s
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5. Operators
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Arithmetic operators2m 32s
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Bitwise operators5m 21s
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Comparison operators2m 17s
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Boolean operators3m 21s
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Operator precedence1m 17s
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6. Loops
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Python loops53s
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The while loop1m 57s
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The for loop1m 20s
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Additional controls6m 33s
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7. Functions
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Defining a function5m 6s
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Function arguments8m 36s
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Argument lists2m 16s
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Keyword arguments1m 45s
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Return values1m 25s
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Generators3m 57s
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Decorators5m 6s
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8. Structured Data
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Basic data structures1m 10s
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Lists and tuples5m 1s
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Dictionaries5m 37s
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Sets2m 31s
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List comprehension4m 31s
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Mixed structures3m 18s
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9. Classes
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Creating a class2m 35s
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Constructing an object5m 3s
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Class methods4m 1s
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Object data4m 56s
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Inheritance4m 26s
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Iterator objects2m 57s
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10. Exceptions
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Handling exceptions5m 40s
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Reporting errors2m 9s
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11. String Objects
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Overview of string objects2m 59s
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Common string methods4m 15s
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Formatting strings6m 16s
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Splitting and joining2m 37s
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12. File I/O
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Opening files2m 48s
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Text vs. binary mode1m 45s
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Text files3m 55s
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Binary files3m 36s
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13. Built-in Functions
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Numeric functions3m 11s
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String functions5m 10s
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Container functions4m 41s
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Object and class functions1m 51s
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14. Modules
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Using standard modules5m 59s
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Creating a module5m 38s
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15. Databases
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Python database API4m 28s
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A database interface10m 44s
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Example: Short URL database10m 53s
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Conclusion
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Wrap up43s
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Video: Overview of types and values