Well it has been a long trip, but I’m going to wrap up the Python Tutorial here. Before I stopped I wanted to answer one question posed to me which was to create a program that automated the process of getting demographics.
I didn’t have much time to perfect this and I plan to come back, but this program will grab tons of demographics for you including:
In this Python Tutorial I show you how to build a simple chat server. All you need to do this are the pre-installed modules: asyncore, asynchat and socket.
The code then basically does the following:
Assigns a special address for each person that goes to the port (Socket)
Listens for any messages
When it gets a new message it sends it through the socket and into the port
A dispatcher decides what code should be called based off of the message sent
In this video tutorial I show you how to create dynamic websites with Python. This is the quickest and easiest way to start using Python in much the same way as PHP is used.
I previously taught you how to scrap websites for information in this tutorial Python Website Scraping. Here I’ll show you how to scrap and then display that information dynamically on the internet.
Leave any questions or comments below and here are all of my previous Python Video Tutorial’s:
Here I continue to teach you how to use the Tkinter GUI module built into Python. I build an application that allows you to input files, edit them and then save them. I specifically show you how to make the following GUI widgets with Tkinter:
Menu Bars
Multi-Line Editable Text Boxes
Drop Down Menus
If you haven’t seen the previous Tkinter tutorial you should definitely check it out below first. Otherwise this won’t make any sense.
In the previous tutorial I showed you how to grab the following from any sites rss feed using Python:
Title of Articles
All the Content from the Original Article
Link to the Original Article
This is known as website scraping and it is the major component used by all automated website applications. One thing I didn’t cover is how to strip the html tags from those articles, so I’ll do that in this video.
In this video tutorial I show you how to scrap websites. I introduce 2 new modules being UrlLib and Beautiful Soup. UrlLib is preinstalled on Python, but you have to install Beautiful Soup for it to work.
Beautiful Soup is available at their website. If you are using Python versions previous to Python 3.0 get this version Beautiful Soup for Python previous to 3.0. If you are using Python 3.0 or higher get this version of Beautiful Soup.
In this Python Video Tutorial, I will show you how to create databases using the Python SQLite module. SQLite is great because it:
Provides most of the basic database structure you want
Doesn’t require you to have an actual database server running
Provides SQL querying capabilities
Is included with Python by default
You enter and retrieve information from an SQLite database just like you do with any other database, by using SQL. Here is a tutorial on how to program with SQL if you don’t know how SQL Statements Video Tutorial. In that tutorial I focus on MySQL, but everything a say about SQL is nearly identical.
In this video tutorial on how to use Python, I will focus on how to use an interesting Python Module called Shelve. Shelve allows you to store data in files similar to how a database works. It is very easy to use and provides a convenient way to take advantage of the power of Python dictionaries while providing you with the ability to change the data.
I’ll continue in the next tutorial to cover another interesting Python Module called SQLite. It is a Module that can be used as if it was a database meaning:
In this tutorial, I continue to explain how Object Oriented Programming is used with Python 2.7. I cover some of the more complicated subjects including how to:
Allow the user to define an infinite number of attributes
Use Inheritance and what it is
Override Methods
Use Polymorphism and what it is
Inherit from 2 more more classes
Use many of the built in object methods in Python
If you don’t completely understand Object Oriented Programming after this and the first part of this tutorial Python Object Oriented Programming. Please leave a comment below and I’ll do whatever I can to explain this important subject.
Like always, a lot of code follows the video. If you have any questions or comments leave them below. And, if you missed my other Python Tutorials they are available here:
Note: You have to insert the white space and everything will work. I could have styled it with HTML, but that would have required you to erase all of the tags. Hope this helps?
#! /usr/bin/python
__metaclass__ = type
class Animal:
__name = “No Name”
__owner = “No Owner”
def __init__(self, **kvargs): # The constructor function called when object is created
self._attributes = kvargs
# There is a function called a destructor __del__, but its best to avoid it
def __hiddenMethod(self): # A hidden method
print “Hard to Find”
return
class Dog(Animal):
def __init__(self, **kvargs): # Not needed unless you plan to override the super
super(Dog, self).__init__() # This wouldn’t work without the second line
self._attributes = kvargs
def noise(self): # Overriding the Animal noise function
print(‘Woof, woof’)
Animal.noise(self)
return
class Cat(Animal):
def __init__(self, **kvargs): # Not needed unless you plan to override the super
super(Cat, self).__init__()
self._attributes = kvargs
def noise(self):
print(‘Meow’)
return
def noise2(self):
print(‘Purrrrr’)
return
class Dat(Cat,Dog):
def __init__(self, **kvargs): # Not needed unless you plan to override the super
super(Dat, self).__init__()
self._attributes = kvargs
def move(self):
print(‘Chases Tail’)
return
def playWithAnimal(Animal): # This is polymorphism
Animal.noise()
Animal.eat() # Works even if the method isn’t in Cat because Cat is an Animal
Animal.move()
print(Animal.get_attributes(‘__name’))
print(Animal.get_attributes(‘__owner’))
print ‘\n’
Animal.set_attributes(‘clean’,”Yes”)
print(Animal.get_attributes(‘clean’))
print issubclass(Cat, Animal) # Checks if Cat is a subclass of Animal
print Cat.__bases__ # Prints out the base class of a class
print sophie.__class__ # Prints the objects class
print sophie.__dict__ # Prints all of an objects attributes
In this video, I will explain the basics of Object Oriented Programming with Python. Understand that a Class is the blue print that defines what Attributes (variables) and Methods (functions), each object it builds must have.
Each Object that is created is said to be an Instance of the Class that built it. I’ll also go over what Encapsulation is. Encapsulation is how you hide information and constrain a user of your class to use it in the way you define. And, finally I teach you how to enforce Encapsulation by making your Attributes and Methods private.
Like always, a lot of code follows the video. If you have any questions or comments leave them below. And, if you missed my other Python Tutorials they are available here:
In this video I’ll explain how to use functions in Python 2.5 through 2.7. I’m going to cover how to:
Create Functions
Pass Values to Functions
Create Default Values
Except Unlimited Arguments
Except Unlimited Key Value Pairs
Use Recursion
and more…
Like always, the code follows the video. If you have any questions or comments leave them below. And, if you missed my other Python Tutorials they are available here:
Here is Some Code that Demonstrates using Python Functions
#! /usr/bin/python
# Define a docstring a special function attribute
globalVariable = 10
def addNumbers(NumOne=1,NumTwo=1):
‘Adds the numbers passed to it’
return NumOne + NumTwo
def addUndefNums(NumOne=1,NumTwo=1,*args):
‘Adds the numbers passed to it’
finalValue = NumOne + NumTwo
if args:
for i in args:
finalValue += i
return finalValue
else:
return finalValue
def createDict(**kvargs):
for i in kvargs:
print i, kvargs[i]
print type(kvargs[i])
print type(kvargs)
print kvargs
return
def factorial(num):
if num == 1:
return 1
else:
return num * factorial(num – 1)
def printNames(first,last):
pass
def main():
# Demonstrate difference between global & local scope
mainNumber = 5
print “mainNumber equals”, mainNumber, “in function main”
scopeFunction()
print “mainNumber equals”, mainNumber, “after scopeFunction”
print id(mainNumber)
# Force a global variable to change
print “globalVariable before changeGlobal =”, globalVariable
changeGlobal()
print “globalVariable after changeGlobal =”, globalVariable
# Create a function with a docstring
print addNumbers(1)
print addNumbers.__doc__
# Add undefined number of numbers with a tuple
print addUndefNums(1,2,3,4,5,6,7,8)
# Create a dictionary
createDict(Name=’Derek’, Age=35, YearBorn=1974)
createDict(Cust1=(‘Derek’,35,1974),Cust2=(‘Sally’,25,1984),Cust3=(‘Paul’,15,1994))
In this Python Video Tutorial I focus on looping in Python 2.5 through 2.7. I explain how to use the while loop and the many ways to use the for loop.
Along the way I explain how the in operator is used in Python and the range function.
Like always, the code follows the video. If you have any questions or comments leave them below. And, if you missed my other Python Tutorials they are available here:
I continue the Python 2.7 Tutorial by explaining a couple new things. I first go over how to turn your Python code into an executable application.
I then cover Python Conditionals. Conditionals are used to perform certain actions under one condition and other actions based on other conditions. In Python you can do this either with an IF Statement, or with something called a Conditional Expression.
Like always, the code follows the video. If you have any questions or comments leave them below. And, if you missed my other Python Tutorials they are available here:
I continue with my Python 2.7 tutorial here. If you missed part one (How Dare You) you must watch it first at Python 2.7 Tutorial. Otherwise you’ll be confused. I specifically explain how to use Python Lists, Tuples and Dictionaries. These work very similar to arrays in other languages.
An array is a variable that contains multiple values. Think of an array as a box that contains many other boxes, that all contain values. These values can be a mixture of different data types (ints, floats, strings). Here is how Python Lists, Tuples, and Dictionaries differ:
I asked you guys what video I should do next, and based on your votes you wanted a Python 2.7 Tutorial! Because of the tremendous interest, I will be rolling out a Massive tutorial for Python. I actually did one on Python 3.0 if you want that instead though. Here it is Python How to Video Part 1.
The tools I use in this tutorial include the Eclipse IDE and Pydev. I document how to install them in the video below, but also in this article Free IDE.
Now on with the video. All of this code will work with Python 2.5 thru 2.7. The code will follow the video. If you have any questions or comments leave them below. Here is all the code from the entire tutorial in a zip archive.