You will soon be able to store files as large as 5GB online instead of in PC hard drives after Google launches its "GDrive".

A Google source wrote on the blog "The Next Web" that the company is planning to launch the service mid-next week.

The service will offer 5GB of storage, and appear as an icon on Windows and Mac desktops into which users simply "drop" files, the Daily Mail reported Wednesday.

The service will be a rival to services such as Dropbox, a "cloud" storage start-up recently valued at $4 billion. A Google spokesperson declined to comment on the leak.

The company has long been rumoured to be working on such a service.

Google has spoken about launching a "G Drive" service in the past, but the company has been tight-lipped on the subject recently.

The process of creating code to run web sites involves writing code to provide various services. The code to provide a particular service often works the same way regardless of the complexity or purpose of the web site in question. Abstracting these common solutions into reusable code produces what are called “frameworks” for web development. Perhaps the most well-known framework for web development is Ruby on Rails, but Python has its own frameworks. Some of these were partly inspired by Rails, or borrowed ideas from Rails, but many existed a long time before Rails.

Originally Python web frameworks tended to incorporate all of the services needed to develop web sites as a giant, integrated set of tools. No two web frameworks were interoperable: a program developed for one could not be deployed on a different one without considerable re-engineering work. This led to the development of “minimalist” web frameworks that provided just the tools to communicate between the Python code and the http protocol, with all other services to be added on top via separate components. Some ad hoc standards were developed that allowed for limited interoperability between frameworks, such as a standard that allowed different template engines to be used interchangeably.

Since the advent of WSGI, the Python web framework world has been evolving toward interoperability based on the WSGI standard. Now many web frameworks, whether “full stack” (providing all the tools one needs to deploy the most complex web sites) or minimalist, or anything in between, are built from collections of reusable components that can be used with more than one framework.

The majority of users will probably want to select a “full stack” framework that has an active community. These frameworks tend to be well documented, and provide the easiest path to producing a fully functional web site in minimal time.

import urllib, urllib2, cookielib

username = 'myuser'
password = 'mypassword'

cj = cookielib.CookieJar()
opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
login_data = urllib.urlencode({'username' : username, 'j_password' : password})
opener.open('http://www.example.com/login.php', login_data)
resp = opener.open('http://www.example.com/hiddenpage.php')
print resp.read()

resp.read() is the straight html of the page you want to open, and you can use opener to view any page using your session cookie.

Introduction

OK! We have python installed, now what? Well, we program!
And it is that simple (at least for now). Python makes it easy to run single lines of code - one-liner programs. Lets give it a go.

Opening IDLE

Go to the start menu, find Python, and run the program labelled 'IDLE' (Stands for Integrated Development Environment.
Now you are in the IDLE environment. This is the place you will be spending most time in. Here you can open a new window to write a program, or you can simply mess around with single lines of code, which is what we are going to do. Type the following and press enter: (don't type >>> as it should already be there)
What happened? You just created a program, that prints the words 'Hello, World'. The IDLE environment that you are in immediately compiles whatever you have typed in. This is useful for testing things, e.g. define a few variables, and then test to see if a certain line will work. That will come in a later lesson, though.

Math in Python

Now try typing the stuff in bold. You should get the output shown in blue. I've given explainations in brackets.
As you see, there is the code, then the result of that code. I then explain them in brackets. These are the basic commands of python, and what they do. Here is a table to clarify them (because tables look cool, and make you feel smarter ;) ):

Remember that thing called order of operation that they taught in maths? Well, it applies in python, too. Here it is, if you need reminding:

1. parentheses ()
2. exponents **
3. multiplication *, division \, and remainder %
4. addition + and subtraction -

Order of Operations

Here are some examples that you might want to try, if you're rusty on this:
In the first example, the computer calculates 2 * 3 first, then adds 1 to it. This is because multiplication has the higher priority (at 3) and addition is below that (at lowly 4).
In the second example, the computer calculates 1 + 2 first, then multiplies it by 3. This is because parentheses (brackets, like the ones that are surrounding this interluding text ;) ) have the higher priority (at 1) and addition comes in later than that.
Also remember that the math is calculated from left to right, UNLESS you put in parentheses. The innermost parentheses are calculated first. Watch these examples:

Code Example 4 - Parentheses

>>> 4 - 40 - 3
-39
>>> 4 - (40 - 3)
-33

In the first example, 4 -40 is calculated,then - 3 is done.
In the second example, 40 - 3 is calculated, then it is subtracted from 4.

Comments, Please

The final thing you'll need to know to move on to multi-line programs is the comment. Type the following (and yes, the output is shown):
A comment is a piece of code that is not run. In python, you make something a comment by putting a hash in front of it. A hash comments everything after it in the line, and nothing before it. So you could type this:
Comments are important for adding necessary information for another programmer to read, but not the computer. For example, an explanation of a section of code, saying what it does, or what is wrong with it. You can also comment bits of code by putting a # in front of it - if you don't want it to compile, but cant delete it because you might need it later.

• Python Tutorial This tutorial is part of Python's documentation set and is updated with each new release.
• Basic to Advanced Tutorial A good tutorial on Python especially for the beginners.
• Python Essential Reference (book) If you want a highly compressed K&R-style 'just the facts' overview, David Beazley's "Python Essential Reference" covers practically all of the language in about a hundred pages.
• Wikibook:Python Programming
• Wikiversity:Python The Wiki(anything) information about Python.
• Instant Python A minimal crash course by Magnus Lie Hetland.
• Google's Python Class - Google's Python tutorial for "people with a little bit of programming experience"
• Python 2 & 3 Quick-Guides A fast and efficient guide, with many examples, for quickly learning many tricks of Python.
• Python Programming for Beginners A short introduction to writing command-line applications in Python by Jacek Artymiak.
• Python 101 - Beginning Python and Python 201 - (Slightly) Advanced Python Two self-training courses from Dave Kuhlman. Python 101 introduces the basic data types, and 201 covers particular tasks such as parsing text and writing unit tests.
• Python Short Course A set of course slides by Richard P. Muller of Caltech that are aimed at scientific users. For example, the first example is a script to process output from a quantum chemistry simulation.
• Learn Python in 10 minutes
• Python for Science Course material written by Konrad Hinsen for an introduction to Python aimed at biologists.
• Software Carpentry: lectures aimed at scientists and engineers.
• You can find a variety of Python tutorials on Code Teacher.
• ComparingTypes A quick look at some common programming types for python and other languages
• Python for Programmers - for "Professional programmers who need to learn Python "
• A basic Python Tutorial that goes into some interesting features and examples.
• Python Koans Learn Python through TDD
• Intro to Python - A Brief Presentation about Python mainly aimed at experienced programmers. Might be nice as a first pass over the language.
• Python Course - This online Python course is aiming at beginners and with advanced topics at experienced programmers as well.

Python Video Tutorials

• uDemy's - Learn Python (for Beginners)
• Google's Python class
• MIT's 6.00 Introduction to Computer Science and Programming (in Python)
• TheNewBoston Python Tutorials Recommended for novice programmers.
• 'Getting started with Python' blog series at ShowMeDo, includes articles on 'Python Development Environments' and 'Python Under-The-Hood'
• ShowMeDo.com/videos/Python: Over 240 Python programming screencasts, most are free, most are a part of Club ShowMeDo, all will teach you about Python programming:
  • Python 101 - easygui and csv - Aimed at new/intermediate Pythonistas showing how to build a full application in Python (part of the Club)
  • Python Development on XP (9 videos, part of the Club) Aimed at new/intermediate Pythonistas
  • A Guide to Python Resources on the Web (2 videos)
  • Einführung in die Programmierung mit Python (14 videos - German)
  • Python GUI Programming with wxPython (3 videos)
  • The Khan Academy computer science playlist teaches Python. 
    
    
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