Jupyter installation and use tutorial

What I want to share with you today is Jupyter Installation and basic use tutorial
At the same time, I encountered some problems in the process of installation , resolvent , Share with you
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About jupyter notebook A more detailed 、 The latest installation and use instructions , I updated the new article , I recommend you to read this article directly , Click to go to ： One article Python Coding environment

One 、Jupyter Introduce

      Jupyter Notebook The essence of Web Applications , Easy to create and share literary program documents , Real time code support , Mathematical equation , Visualization and markdown. Uses include ： Data cleaning and conversion , Numerical simulation , Statistical modeling , Machine learning and so on . advantage ： To use , useful .

Two 、 install

Be careful ： This article is in Windows Under the use of , In addition to installation ,Mac The system operation is inconsistent with this article , especially Mac Start on the system Jupyter Notebook, You can do it at 2 Click to see .

• 1. Installation method ,windows Next ,cmd You can use pip install

pip install jupyter

notes ：Jupyter Installation needs Python 3.3 Or later , or Python 2.7.

#  upgrade 
pip3 install --upgrade pip

The installation process is quite long , Probably need 5min about .

• 2. Run after installation is complete

jupyter notebook

** Be careful ：** If you are mac System , Your run command may need to be changed to ：

python3 -m IPython notebook

If the installation is normal , It may not go wrong , Remind me when I install here

 Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.

Therefore, the operation reports an error ：

ModuleNotFoundError: No module named 'markupsafe._compat'

The tip says markupsafe._compat This module can't be found , So I ran to the catalogue Python36\Lib\site-packages\markupsafe Next , Sure enough , No, _compat This file , And then put markupsafe This module is uninstalled , reinstall , Not yet. , Google it （ It seems to be popular now , Ha ha ha ）, find _compat The content of this document is ：

# -*- coding: utf-8 -*-
""" markupsafe._compat ~~~~~~~~~~~~~~~~~~ Compatibility module for different Python versions. :copyright: (c) 2013 by Armin Ronacher. :license: BSD, see LICENSE for more details. """
import sys
PY2 = sys.version_info[0] == 2
if not PY2:
    text_type = str
    string_types = (str,)
    unichr = chr
    int_types = (int,)
    iteritems = lambda x: iter(x.items())
else:
    text_type = unicode
    string_types = (str, unicode)
    unichr = unichr
    int_types = (int, long)
    iteritems = lambda x: x.iteritems()

In the catalog Python36\Lib\site-packages\markupsafe Next, create a new file _compat.py, Write the above contents into , preservation , And then again cmd Run under jupyther, smooth ：

C:\Users\82055\Desktop>jupyter notebook
[I 17:34:01.725 NotebookApp] Writing notebook server cookie secret to C:\Users\82055\AppData\Roaming\jupyter\runtime\notebook_cookie_secret
[I 17:34:02.759 NotebookApp] Serving notebooks from local directory: C:\Users\82055\Desktop
[I 17:34:02.760 NotebookApp] 0 active kernels
[I 17:34:02.761 NotebookApp] The Jupyter Notebook is running at:
[I 17:34:02.761 NotebookApp] http://localhost:8888/?token=7d96ee52f2c5c5c451af05e15d6f6cb626b1a6783b590117
[I 17:34:02.762 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 17:34:02.764 NotebookApp]

By default, it will automatically jump to the page （ Webpage ）

3、 ... and 、 Basic use

• 1. Modify default directory
  (1) lookup jupyter Profile path

C:\Users\82055\Desktop> jupyter notebook --generate-config
Writing default config to: C:\Users\82055\.jupyter\jupyter_notebook_config.py

       (2) Find the configuration file , Change the default directory

## The directory to use for notebooks and kernels.
c.NotebookApp.notebook_dir = 'H:\PyCoding'

Start again jupyter, We found that the main page file is a file in the folder specified by ourselves .（ The default is computer desktop file ）

• 2. Create a new one python file
  We click on the page new Button , Create a new one py3 file , The following diagram shows ：
  
  And you can see , My first input 2+3, Press Shift+Enter Key operation , The results of 5, Then you can change the above input , Change it to 2+5, Run again , You can also get results , This is also Jupyter A feature of ： You can modify the previous cell , Recalculate it , So you can update the entire document .

• 3. Some basic operations （gif Dynamic diagram demonstration ）
  
  There are many functions for you to develop yourself , Feel free to leave a comment , Say what you still know Jupyter Other functions of .

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