Jupyter (Ipython notebook) installation and Getting Started tutorials

In the near future, whether you do data analysis or emergency reply to do ppt, you may need to draw some of the data display diagram; Before we all use Excel to draw, but Excel drawing has certain limitations, such as you want to draw a cumulative histogram, Excel is very troublesome, So let's introduce a Python-based interactive data analysis tool, Ipython notebook.

This article will introduce you to the beginning of the installation and use of notebook from scratch tutorial, write the details of the place can be more communication.

This article assumes that everyone is python "small white ", this tutorial is for the Windows platform,python God can see some chapters according to their own needs.

Installationpython2.7

First download the corresponding Python installation file from the Python website , then follow the installation process

Note Select Install all

python test

Open the cmd command line interface, enter python, return to a simple interactive interface

Enter print "Hello World" to see the output of Hello World

Press CTRL + Z and enter to exit.

PIP Test

enter PIP in cmd and see output like this to prove that Pip is properly installed

InstallationVC for Python

Without this, a lot of data analysis packages are not installed, because these packages are written in C + +, you can download VC for Python from here

Installation of common data analysis to usePython library

pip install numpypip install pandaspip install matplotlibpip install statsmodels

InstallationIpython Notebook

Pip Install Jupyter

Test Ipython Notebook

Command line Input Ipython notebook, will automatically jump to the browser, the browser default is the command line in the directory

At this point, everything is ready to start doing what you want to do.

Simple to use

We create a example folder and then go to this folder in the browser (hereinafter called Jupyter) and select the New button on the right, and drop down to select Python 2

And then you can start writing python's code.

Now we're trying to do data analysis.

Import data Analysis common libraries and configurations

Jupyter (Ipython notebook) installation and Getting Started tutorials