How to use the Pycharm: http://blog.csdn.net/xiemanr/article/details/71837385
Ipython Use Tutorial: http://blog.csdn.net/lee_j_r/article/details/52791228
Ipython Official website: https://ipython.readthedocs.io/en/stable/
Jupyter's ipynb file turns to Python (. py) files for each other:
File->download As->python (. py)
My records:
In (Pycharm) Ipython: New Notebook file: file-new...-jupyter in python conso
Ipython is the predecessor of Jupyter Notebook and has all the functions of IpythonJupyter has a cell, markdown integrated function, can run code at the same time, and is multi-group. You can also insert markdown with this versatile annotation including pictures.Write a tutorial, write a blog very first-class. And can be uploaded to the jupyterhub ... It's said to build it myself.For beginners,
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
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
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
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 black.Solution:1. Set Pycharm text backgroun
jupyter configuration and remote login
Anaconda's jupyter usage is becoming more common, but the default directory is not what everyone wants, and this section describes the Jupyter customization configuration and how to log on remotely to Jupyter notebook. 1 jupyter Custom
Install python2, python3, and jupyterpython2 simultaneously in jupyter notebook.
I have discussed how to install multiple python versions in anaconda. In this article, I will discuss how to install python2.7 and python3.x simultaneously in jupyter notebook.
Since the jupyter notebook I used earlier is based on python3.5, you only need to install the kernel based
What is Jupyter notebook?Jupyter Notebook is an upgrade of Ipython Notebook. Jupyter is able to organize real-time code , formulas, and visualizations into cells to form a code-friendly notebook. Jupyter supports both markdown syntax and latex syntax, and can effectively output PDF documents in Rich Text modeRead more:
Install Jupyter notebook******
The first step: Install the Ipython, after the installation completes enters Ipython, the following figure, enters exit may exitPip Install Ipython
Step Two: Install JupyterPip Install Jupyter
Step Three: Configure the environment to access Jupyter notebook remotely
1, Jupyter notebook-
The biggest significance of jupyter (previous ipythonnotebook) to me is to make the learning process and exploration process accumulate, as indicated by the notebook in its original name, as the recorder of learning, it is convenient for you to pick up the learning progress at any time. incremental advance has been using pycharm to write pandas programs some time ago. For big data development, development is generally a step by step, and pycharm is no
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 interactionAt 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 ShowEach input has a serial number, and the corresponding out of the results, corresponding
Configure the Python + Mac development environment:Installation Anaconda and Pycharm (online find the registration code) Double-click the Anaconda icon can be seen: Jupyter,spyder, etc. can be launch, after clicking on Jupyter, all the files in the directory will appear in the Web page.
How to open the Ipynb file. In the MAC environment to ensure that Jupyter-not
The biggest significance of jupyter (previous ipythonnotebook) to me is to make the learning process and exploration process accumulate, as indicated by the notebook in its original name, as the recorder of learning, it is convenient for you to pick up the learning progress at any time. incremental advance has been using pycharm to write pandas programs some time ago. for big data development, development is generally a step by step, and pycharm is no
Tags: check local Latest language LSP method website pre RMI1. R InstallationUsually under terminal directly apt-get can, in 16.10 get to R-3.3.1, at present the latest seems to be R-3.4.2, can go to the official website to download source code compilation (https://www.r-project.org)?sudo Install R-base2. Configuring R's kernel in Jupyter notebookRecently ran Python under Jupyter, easy to debug while taking
TensorFlow installation and jupyter notebook configuration, tensorflowjupyter
Tensorflow uses anaconda for ubuntu installation and jupyter notebook running directory and remote access configuration
Install Anaconda in Ubuntu
bash ~/file_path/file_name.sh
After the license is displayed, press Ctrl + C to skip it, and yes to agree.
After the installation is complete, ask whether to add the path or modify the
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, Python2 's kernel has been installed.Quick Start Jupyte
Abstract: Build Python3 Jupyter notebook.After activating Python3, enter the python interactive environment1. Log in to remote server 2. Build configuration file1. $jupyter Notebook--generate-config3. Generate a passwordOpen ipython , create a password for the ciphertext:1. In [1]: from Notebook.auth import passwd2. In [2]: passwd ()5. out[2]: ' sha1:fa0dde171852:7afe4911d125a73f091298be12aa0c199e3b9350 'Co
1, first according to https://www.pyimagesearch.com/2017/09/25/configuring-ubuntu-for-deep-learning-with-python/ The content in the address is configured VIRTUALEVN the virtual environment,Assuming that the current virtual environment is DL4CV, start it first: Workon DL4CV, type: $: Python, and you'll see the current virtual environment as python3.6.1, or Python3.2, enter $: Jupyter notebook, will start the browser
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.