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#Python-Lectures

##Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

##Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

###Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

####Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

####Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

##Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

##How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

##Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

##License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

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IPython Notebooks to learn Python

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