processing framework.
Installation command:
pip install tornado
Install Jinja2
Jinja2 is the next widely used template engine in Python. Its design concept comes from Django's template engine and extends its syntax and a series of powerful functions. The most significant one is the addition of the sandbox execution function and the optional automatic escape function, which is very important for the security of most applications.
Installation command:
pip install jinja2
Install jsonschema
Jasons
Jupyter notebook is very convenient, want to build one on the server, but not access.
(a) The first is the installation of Jupyter notebook,
Pip Install Jupyter
If the PIP installation is not correct and the SQLite library is missing, install
sudo apt-get install Libsqlite3-dev
Then you need to "recompile python" and install it via PIP (python3.x does not
:[Mybinder.org] (HTTPS://MYBINDER.ORG/V2/GH/YUNABE/LGO-BINDER/MASTER?FILEPATH=BASICS.IPYNB) Thanks to binder [(mybinder.org)] (https:// mybinder.org/), you can use the temporary Docker container on the binder on your browser to try the Go language's Jupyter Environment (LGO). Open the temporary Jupyter Notebook from the button above and enjoy interactive Go progr
Windows environment, under the premise of successful configuration and installation of Python+pycharm.
The steps to install Jupyter using PIP are as follows:
1.Windows Mount Pip (small pip for quick install of Jupyter module)
Reference article: https://jingyan.baidu.com/article/ff42efa9d630e5c19e220207.htmlAttentionIn Windows terminal, to open a folderFor example: The current directory
Since the Jupyter notebook I used earlier is based on the python2.7 version, just install the python3.6 based kernel on this basis.
My environment is as follows:
Windows 10, 64-bit systems
Installed based on python2.7 version of Anaconda
Installed the PY27 and PY36 virtual environment in Anaconda
The kernel of existing Jupyter notebook is based on python2.7 version py27 kernel based on py36
In
Ubuntu installation of Jupyter Notebook tutorial, ubuntujupyter
1. Introduction to Jupyter
Jupyter Notebook is an interactive Notebook that supports running more than 40 programming languages. Jupyter Notebook is essentially a Web application that facilitates the creation and sharing of Literary Program documents and s
python Jupyter notebook Various use method records • Continuous Update
tags (space-delimited): Python
Pythonjupyter notebook A variety of use method records continuously update a jupyter notebook installation 1 new version Anaconda with Jupyter 2 old version Anacodna need to install Jupyter two change
Pythonjupyter notebook Various Use methods record continuous update
Installation of a Jupyter notebook
1 new version Anaconda comes with Jupyter
2 old version Anacodna need to install Jupyter
Two changes to Jupyter notebook workspace
1 Way One
2 Way two trick trick
Toss a half-day, in order to be able to learn tensorflow, engaged in the remote Jupyter, convenient to use it locally, today filled a lot of pits.After loading:Here are some steps:Check Python EnvironmentPython 2.7 is integrated by default in CentOS 7.2, and the Python version can be checked by the following command:Python--versionInstall PIPPip is a Python package management tool, and we use the Yum command to install the tool:Yum-y Install Python-pi
This article is in the following directory:
Windows follows Docker's basic requirements
Specific installation steps
Start using
Installing the remote Connection tool connecting Docker
Problems encountered during installation
Updates to Docker
The Jupyter in Docker
Common commands fo
Pythonjupyter notebook A variety of use method records continuously update a jupyter notebook installation 1 new version Anaconda with Jupyter 2 old version Anacodna need to install Jupyter two change jupyter not Ebook Workspace 1 Mode 12 way two ace trick three jupyter a va
http://blog.csdn.net/tina_ttl/article/details/51031113
Jupyter notebook) Formerly known as Ipython Notebook, when learning, you can find the two tutorials
Jupyter Project Documentation
Jupyter Notebook Documentation
Jupyter/ipython Notebook Quick Start Guide
Old IPython Notebook homepa
I. Installation of Jupyter notebook 1.1 new version Anaconda Jupyter Currently, the latest version of the Anaconda is a jupyter notebook, no need to install separately1.2 old version Anacodna need to install Jupyter
Jupyter Notebook installation of the official website
Prere
Jupyter Notebook Quick Start [go], jupyternotebook
Jupyter Notebook (formerly known as IPython notebook) is an interactive Notebook that supports running more than 40 programming languages. In this article, we will introduce the main features of Jupyter notebook and why it is a powerful tool for people who want to write beautiful interactive documents.
Before usi
Tags: Allow too set service description age Roo problem: manual InstallationJupyter Notebook is a Web application that allows you to create and share documents that contain real-time code, equations, visualizations, and explanatory text.The simple introduction is: Jupyter Notebook is an upgraded version of Ipython, and Ipython can be said to be an enhanced version of the interactive Shell, that is, it is more convenient than running Python in terminal
Installation Environment
Mac/os X 10.9.5, 64-bit/Sbt/git
1. Install Jupyter and Python
Use Anaconda to install Jupyter, Anaconda with Python2.7 and Python3.5
Anaconda Download Address
Anaconda website to provide the operating system version of the download, including Windows,linux,os X, 32-bit and 64-bit, choose the appropriate version of the download
#bash anaconda3-2.5.0-macosx-x86_64.sh
Bo
Mac Install Jupyter, it is recommended to install pyenv to manage your Python version and establish an independent working environment.
Directory
1. Jupyter Introduction (source Baidu Encyclopedia)
2. Jupyter Installation
3. Test and change the root directory of Jupyter
1. Jupyte
Jupyter Notebook, formerly known as Ipython Notebook, is an interactive notebook that supports the operation of 40+ programming languages. Can be used to write beautiful interactive documents.Linux, Jupyter notebook installation process can refer to the Jupyter official website, specific, may only need a word can be done:Install JupyterAfter installation, the
The following error was encountered while creating the Python file:
Creating Notebook FailedAn error occurred while creating a new notebook.Unexpected error while saving FILE:ARMA/UNTITLED.IPYNB [Errno] Permission denied: '/home/wang/.local/share/jupyter/ Notebook_secret '
Solution:To modify file permissions:(my_env) wang@ubuntu:~ sudochmod+777.local/share/jupyter/(myenv) wang@ubuntu:sudo chmod +777. loca
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