Jupyter Installation Summary

The previous period of time has been using Pycharm Write pandas program, for big data development, development is generally a step to take a step, pycharm not suitable. Online Recommended use Jupyter notebook, it is a web version of the editor, originally a part of the Ipython, later split out. Installed A, found more trouble, the online information is also older, not suitable. Summarize and share with you.

I am an Ubuntu system and I am installing it via PIP.

Installing PYZMQ

PYZMQ is a python binding for zeromq. ZEROMQ is a message kernel, from the point of view of network communication, it is in the session layer, under the application layer, with it, you do not even need to write a line of the socket function call can complete the complex network communication work.

installation command:

Pip Install PYZMQ

Installing tornado

Tornado is a non-blocking server written by Python that uses Epoll to manage connections and handle thousands of connections per second, which is an ideal Web real-time processing framework.

installation command:

Pip Install tornado

Installing JINJA2

JINJA2 is the next widely used template engine in Python, and his design idea comes from the Django templating engine, which expands its syntax and a host of powerful features. One of the most notable of these is the addition of sandbox execution and optional auto-escape, which is important for the security of most applications.

installation command:

Pip Install JINJA2

Installing Jsonschema

Jasonschema is used to describe JSON data formats, and JSON schemas have many uses, one of which is instance authentication.

Install command: Pip install Jsonschema

Installing Jupyter

As you can see from the previously installed components, Jupyter is actually a Tornado framework Web application that uses MQ for message management.

Install command: Pip install Jupyter

This installation encountered some problems, the installation of Jupyter half successful, can only edit the document, but not the Python program to run.
Later led me to execute the PIP list also failed, finally a PIP upgrade, and then uninstall Jupyter, and then reinstall, working properly. Ubuntu installation also has permissions issues, I ended up with root permissions to install the Jupyter.

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