how to open jupyter notebook

Notebook Documentation Jupyter/ipython Notebook Quick Start Guide Old IPython Notebook homepage I. Installation of Jupyter notebook 1.1 new version Anaconda comes with

Jupyter notebook, do not need to be installed separately1.2 old version Anacodna need to install Jupyter Jupyter Notebook installation of the official website Prerequisites for installing Jupyter

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 Docu

, the main interface of Jupyter will be started in the folder where you open notebook, as shown below: To create a new notebook, clickNewSelect the notebook type you want to start. Here, we run a Python notebook because I only h

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

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

;>> Anaconda The default installation path is/user/zhangsan/anconda3/, and of course you can specify the installation directory yourself, and enter it here. Open a new terminal after Setup completes #jupyter Notebookwill start and automatically open http://localhost:8888/tree# in the browser [I 17:37:52.287 Notebookapp] Serving notebooks from local director

install matplotlib 6. Create the Jupyter Default Configuration File root@787c084a44e4:~# jupyter notebook --generate-config 7. Generate a SHA1-Encrypted Key and save it, for example, 'sha1: xxxxxx' root@787c084a44e4:~# ipython Input from notebook.auth import passwd passwd() 8. Set the key and modify the configuration file. root@787c084a44e4:~# vim .

pycharm Jupyter Multi-Environment Jupyter configuration 1 Activate TensorFlow Conda install notebook ipykernel ipthon kernel install--user Pycharm Switch to TensorFlow working environment, new *IPNB file, run. jupyter Drawing Black font display in Pycharm Using the Matplotlib plot figure tick and the text color is

follows: Activate the virtual environment of py27 and enter the following command: Python-m ipykernel install -- user Start jupyter notebook to view the information. You can see that the kernel of python2 has been installed. Tips for Quick Start of jupyter notebook When you start

installation of the document Linux version 3.xOfficial list of installed documents, including 3.x2.x et cetera 1. Download the latest version of Python (3.5.1 link) (download based on machine bits (64 bits) 2. Install PythonA few steps are not the default (note)2.1 Double click the install package to add to path2.2 Default Next2.3 Check all users to useWait for the installation to complete.2.4 Check to see if Pip and Setuptool have been installed.CMD Enter python-m pip list3. Quick Install

in [2]: passwd () Enter password: Verify password: out[2]: ' SHA1 : 5311cd8b9da9:70dd3321fccb5b5d77e66080a5d3d943ab9752b4 ' Step Fourth: Modify the configuration file generated in the first step, modify the following addresses, and remove the # before the line to take effectvi/root/.jupyter/jupyter_notebook_config.py orVI ~/.jupyter/jupyter_notebook_config.py c.notebookapp.ip= ' * ' c.notebookapp.passwo

lantern first. Use and configuration of jupyter notebook Enter jupyter notebook in Ubuntu. Jupyter notebook -- generate-config can generate the default configuration file jupyter_notebook_config.py Default Address Configuration M

Jupyter notebook simultaneous use of Python2 and Python3If the default use of Python3 can be used to activate the PY27 virtual environment, Python27 Python.exe renamed to Python2.exe, environment variables are added, enter the command:python2-m ipykernel Install--userStart Jupyter notebook To see, then you can see, Pyt