Jupyter, block-level interaction and quick display tool for data science

1. Introduction

Interactive (interactive) data science and science computing tools, main cell interaction and quick display .
It is an Open-source project derived from the IPython.
Official Website Address cell interaction
At the command line, interact with the unit of behavior;
In the IDE, execute once in the form of a source file.
If you want to perform a paragraph, you need block-level interaction . Quick Show
Each input has a serial number, and the corresponding out of the results, corresponding to a very intuitive, even pyplot paint can. 2. Installation

After installing the anaconda, bring the jupyter. including Jupyter notebook and Jupyter qtconsole.
3.Jupyter Notebook

An interactive notebook that supports a variety of programming languages, such as Python, Ruby, and Scala. In addition to the code, it also supports markdown syntax for writing notes.

Working principle
Start a Web server on this computer and write code and documentation in the browser.

As you can see from the image below, each time in and out is marked with a line number, so it is convenient for people to read. The out content is the result of the running of the input command in.

Figure 3-1 Jupyter Notebook 4.Jupyter qtconsole

Figure 4-1 Jupyter qtconsole 5. Open IPYNB file in Pycharm

The suffix name of the Jupyternotebook file is xx.ipynb. In Pycharm, you can double-click to open it directly.

Pycharm Official website Introduction: Using-ipython-jupyter-notebook-with-pycharm

Figure 5-1 The server address of Jupyternotebook set in Pycharm