The Jupyter Notebook

It is a web application that allows you to create and share documents that contain

live code
equations
visualizations
explanatory text

The Jupyter Notebook
搜狗输入法表情和符号
一级标题
- 二级标题
运行C代码
Jupyter 魔术命令
END



In [3]:

    
# my first python script
print("hello world! \n I am Cheng-Jun Wang.")









    



hello world! 
 I am Cheng-Jun Wang.

Uses include:

data cleaning and transformation,
numerical simulation,
statistical modeling,
machine learning
and much more.



In [7]:

    
print('hello world')









    



hello world



In [8]:

    
1 + 1









    Out[8]:





2

$E = MC^2$

\begin{align} \dot{x} & = \sigma(y-x) \\ \dot{y} & = \rho x - y - xz \\ \dot{z} & = -\beta z + xy \end{align}

搜狗输入法表情和符号

∫ ∑ ※ ➕➖✖️➗ ❎ √ ×
😪😠😡😎☺️😁📚🌲
👌👍👎👂👃👀✋❌💰🌂
0️⃣1️⃣2️⃣3️⃣4️⃣5️⃣6️⃣7️⃣8️⃣9️⃣②🔟
🐶🐱🐔🐷🐖🐴🐎🐂🐑🐯🐧🐺🐒🐵🐻🐦🐲
💻 🌈🌎☁️❄️🏃♀👩👱✨
🆚🔥🌹✈️🌉🎄

(✿◡‿◡)害羞 ⁄(⁄ ⁄•⁄ω⁄•⁄ ⁄)⁄ d=====(￣▽￣*)b厉害

我是我，不一样花火。～(￣▽￣～)(～￣▽￣)～矜持



In [4]:

    
%matplotlib inline
import matplotlib.pyplot as plt

xi = [1, 2, 3, 4, 5]
y = [3, 5, 9, 13, 16]

plt.plot(xi, y, 'g-s')
plt.xlabel('$x_i$', fontsize = 20)
plt.ylabel('$y$', fontsize = 20)
plt.title('$Scatter\,Plot$', fontsize = 20)
plt.show()

一级标题

二级标题

复旦大学是一个非常棒的大学！

point 1
point 2
point 3

运行C代码

C functions are typically split into header files (.h) where things are declared but not defined, and implementation files (.c) where they are defined. http://people.duke.edu/~ccc14/sta-663/CrashCourseInC.html#a-tutorial-example-coding-a-fibonacci-function-in-c



In [5]:

    
%%file hello.c
#include <stdio.h>

int main() {
    printf("Hello, world!");
}









    



Overwriting hello.c



In [6]:

    
! gcc hello.c -o hello # 编译









    



xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun



In [3]:

    
! ./hello # 执行









    



Hello, world!

Jupyter 魔术命令



In [14]:

    
%lsmagic









    Out[14]:





Available line magics:
%alias  %alias_magic  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %config  %connect_info  %cp  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %killbgscripts  %ldir  %less  %lf  %lk  %ll  %load  %load_ext  %loadpy  %logoff  %logon  %logstart  %logstate  %logstop  %ls  %lsmagic  %lx  %macro  %magic  %man  %matplotlib  %mkdir  %more  %mv  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %popd  %pprint  %precision  %profile  %prun  %psearch  %psource  %pushd  %pwd  %pycat  %pylab  %qtconsole  %quickref  %recall  %rehashx  %reload_ext  %rep  %rerun  %reset  %reset_selective  %rm  %rmdir  %run  %save  %sc  %set_env  %store  %sx  %system  %tb  %time  %timeit  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode

Available cell magics:
%%!  %%HTML  %%SVG  %%bash  %%capture  %%debug  %%file  %%html  %%javascript  %%js  %%latex  %%markdown  %%perl  %%prun  %%pypy  %%python  %%python2  %%python3  %%ruby  %%script  %%sh  %%svg  %%sx  %%system  %%time  %%timeit  %%writefile

Automagic is ON, % prefix IS NOT needed for line magics.

pip install version_information



In [8]:

    
!pip install version_information









    



Requirement already satisfied: version_information in /Users/datalab/Applications/anaconda/lib/python3.5/site-packages (1.0.3)
You are using pip version 19.0.3, however version 19.1.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.



In [9]:

    
# install version_information in the terminal first.
%reload_ext version_information
%version_information numpy, matplotlib, pandas, scipy, statsmodels









    Out[9]:




Software Version
Python 3.5.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]
IPython 6.2.1
OS Darwin 18.6.0 x86_64 i386 64bit
numpy 1.16.3
matplotlib 3.0.1
pandas 0.23.4
scipy 1.1.0
statsmodels 0.9.0
Fri Jun 07 14:29:42 2019 CST

END

This is the end.



In [ ]:

Software	Version
Python	3.5.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]
IPython	6.2.1
OS	Darwin 18.6.0 x86_64 i386 64bit
numpy	1.16.3
matplotlib	3.0.1
pandas	0.23.4
scipy	1.1.0
statsmodels	0.9.0
Fri Jun 07 14:29:42 2019 CST