使用 IPython Notebooks 学习 Python.zip

# Python-Lectures Note: [Andreas Ernst](http://users.monash.edu/~andrease/) has improvised and updated the repo to python 3, [Link](https://gitlab.erc.monash.edu.au/andrease/Python4Maths/tree/master) ## 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](https://github.com/rajathkumarmp/Python-Lectures/blob/master/Python.pdf) 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](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/00.ipynb) [01 - Variable, Operators and Built-in Functions](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/01.ipynb) [02 - Print Statement, Precision and FieldWidth](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/02.ipynb) [03 - Lists, Tuples and Sets](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/03.ipynb) [04 - Strings and Dictionaries](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/04.ipynb) [05 - Control Flow Statements](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/05.ipynb) [06 - Functions](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/06.ipynb) [07 - Classes](http://nbviewer.ipython.org/github/rajathkumarmp/Python-Lectures/blob/master/07.ipynb) 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/