Consider a module to be the same as a code library.
A file containing a set of functions you want to include in your application.
To create a module just save the code you want in a file with the file extension .py:
Save this code in a file named mymodule.py
def greeting(name):
print("Hello, " + name)
Now we can use the module we just created, by using the import statement: Continue reading Python Modules
A variable is only available from inside the region it is created. This is called scope.
A variable created inside a function belongs to the local scope of that function, and can only be used inside that function.
A variable created inside a function is available inside that function:
def myfunc():
x = 300
print(x)
myfunc()
As explained in the example above, the variable x is not available outside the function, but it is available for any function inside the function: Continue reading Python Scope
The word “polymorphism” means “many forms”, and in programming it refers to methods/functions/operators with the same name that can be executed on many objects or classes.
An iterator is an object that contains a countable number of values.
An iterator is an object that can be iterated upon, meaning that you can traverse through all the values.
Technically, in Python, an iterator is an object which implements the iterator protocol, which consist of the methods __iter__() and __next__().
Inheritance allows us to define a class that inherits all the methods and properties from another class.
Parent class is the class being inherited from, also called base class.
Child class is the class that inherits from another class, also called derived class.
Python is an object oriented programming language.
Almost everything in Python is an object, with its properties and methods.
A Class is like an object constructor, or a “blueprint” for creating objects.
Note: This page shows you how to use LISTS as ARRAYS, however, to work with arrays in Python you will have to import a library, like the NumPy library.
Arrays are used to store multiple values in one single variable: Continue reading Python Arrays
A lambda function is a small anonymous function.
A lambda function can take any number of arguments, but can only have one expression.
lambda arguments : expression
The expression is executed and the result is returned:
Add 10 to argument a, and return the result:
x = lambda a : a + 10
print(x(5))
Lambda functions can take any number of arguments: Continue reading Python Lambda
A function is a block of code which only runs when it is called.
You can pass data, known as parameters, into a function.
A function can return data as a result.
In Python a function is defined using the def keyword:
def my_function():
print("Hello from a function")
To call a function, use the function name followed by parenthesis: Continue reading Python Functions
A for loop is used for iterating over a sequence (that is either a list, a tuple, a dictionary, a set, or a string).
This is less like the for keyword in other programming languages, and works more like an iterator method as found in other object-orientated programming languages.
With the for loop we can execute a set of statements, once for each item in a list, tuple, set etc. Continue reading Python For Loops