jupyter tutorial

Install and use jupyter (original notebook) and jupyternotebook 1. Install pyzmq using pip install pyzmq. installation fails. Use easy_install.exe pyzmq. The installation is successful. 2. The tornadopip tornado installation is not successful yet. Continue to find 3. install jinja2pip install jinja24. The operation is still unsuccessful, and an error is prompted: IPython notebook format depends on the jsonschema package: Https://pypi.python.org/pypi

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.Installation steps:Pip install--upgrade pip//update pipPip Install JupyterJupyter-notebookIf any of the following occurs:Then proceed as instructed:sudo apt install jupyter-notebookThen run

　　First, the Ubuntu system installed after the Caffe, installed Jupyter notebook.Execute in terminal, installation instructions:When the installation is complete, run notebook: or Second, the Ubuntu system, the use of virtualenv installed after tensorfow, installed Jupyter notebook.Main steps: Entering a virtual environmentsource myproject/bin/activate Installing Ipykernel

Hint NoticeDate: 2018/04/06Theme: Ubuntu under Caffe frameProtagonist: Jupyter NotebookBrief introduction:Jupyter Notebook (formerly known as IPython Notebook) is an interactive notebook that supports the running of more than 40 programming languages.The essence of Jupyter Notebook is a WEB application that facilitates the creation and sharing of literary program documents, supports real-time code,Learning

1. Turn the Open Jupyter Notebook program off, then locate the desktop shortcut, right-click the = property, and then remove the "%USERPROFILE%" parameter after the target input box, and then confirm. Otherwise, any subsequent modifications will not take effect. You can see such as:2. Right-click the property to enter and modify the starting position of the address is E:\Jupyter, then the application can be

0. Generate the configuration file (usually by default)Jupyter Notebook--generate-config1. Open Ipython, create a ciphertext passwordIn [1]: From Notebook.auth import Passwdin [2]: passwd () Enter password:verify password:out[2]: ' sha1:ce23d945972f:347696 85a7ccd3d08c84a18c63968a41f1140274 '2. Modify the default configurationVim ~/.jupyter/jupyter_notebook_config.py3.c.notebookapp.ip= ' * ' # is to set all

Jupyter Notebook shortcut keysThe Jupyter Notebook has two keyboard input modes. Edit mode, which allows you to type code or text into a cell, where the cell line is green. Command mode, keyboard input run program command; The cell line is gray.Command mode (press ESC to open) Enter: Transfer to edit mode Shift-enter: Run this unit and select the next cell Ctrl-enter: Running this unit Alt-enter:

python3.6 install Jupyter, can't open notebook, prompt modulenotfounderror:no module named ' Markupsafe._compat ', there is coding problem, the solution is to download a git base, Once installed, git base unloads the previously installed Markupsafe module, pip uninstall Markupsafe, and then re-installs the module in Git base, which is the same command as under Windows. After successful installation, go to the Windows command line, enter

spark2.0 Implementation of IPYTHON3.5 development, and configure Jupyter,notebook to reduce the difficulty of Python development 1, spark2.0 installation will not say, there are many online, will not give me a message.2, we in the spark2.0 under the development of Python, do not need to install Python, direct installation anaconda can be.3, Anaconda download address: https://www.continuum.io/downloads, here to provide 3.5 and 2.7, taking into account

Tags: gedit share image strong edit effect div technology share HTTPS--Previous article Jupyter: https://www.cnblogs.com/dotnetcrazy/p/9201976.htmlBuild configuration file:jupyter-notebook--generate-configOpen config file: (can open with gedit or VI without vscode) code ~/.jupyter/jupyter_notebook_config.pySet the default path: (absolute path is recommended, ~ represents the default workspace in the configu

TensorFlow + jupyter notebook + Nvidia DIY setup This is a detailed installation step on Ubuntu 17.04 that requires sudo permissions. Nvidia driver Settings Install NVIDIA Drive Warehouse sudo add-apt-repository ppa:graphics-drivers/ppa sudo apt-get update sudo apt-get upgrade sudo apt-get Install build-essential cmake g++ gfortran git pkg-config python-dev software-properties-common Install Cuda 8.0 from NVIDIA, including installer and patch 2. s

1.linux Environment Download Python Virtual Environment Miniconda packagewget https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh2. Installing the Miniconda Dependency packageYum-y Install bzip23. InstallationSH miniconda3-latest-linux-x86_64.sh4. Configuring aliasesVim/root/.bashrc...#alias for CondaAlias cl= "Conda env list"Alias cc= "Conda create-n"Alias coa= "source Activate"Alias cod= "Source Deactivate"Alias cr= "Conda Remove--all-n"...: Wq5. Create a

Cheat sheet for Jupyter Notebook, sheetjupyter Recently, DataCamp released the cheat sheet of jupyter notebook. [Python data path] I will share with you the contents of this cheat sheet as soon as possible. Part of the cheat sheet is as follows: You can obtain the pdf version of the cheat sheet from the DataCamp website. Of course, I have moved the pdf file back. To obtainPdf of

Or are you going to choose Python to learn spark programmingBecause the Java write function is more complex, Scala learning curve is steep, and the combination of SBT and Eclipse and Maven is a bit of a crash, often can't find the main class to executePython hasn't used it before, but it's a reputation, and it's easy to process data.Integrating the Pydev plugin in eclipse to write a Python program has been studiedToday I used a python development environment with Anaconda integration, and it fel

1. InstallationPYZMQthe installation is unsuccessful with Pip install PYZMQ. the installation was successful using Easy_install.exe PYZMQ. 2. Installing TornadoPIP Tornadoafter the installation is not successful, continue to find3. Installing JINJA2pip Install jinja2 4.The operation is still unsuccessful, prompting the error:IPython notebook format depends on the Jsonschema package:Https://pypi.python.org/pypi/jsonschemaPlease install it first.to continue the installation:pip Install Jsonschemaf

Let's talk about the environment:Mac DesktopsPython:mac comes with Python 2.7.101. First upgrade PIP installation tool: sudo python-m pip install--upgrade--force pip2. Install Setuptools tool: sudo pip install setuptools==33.1.13. Install python-dateutil:sudo pip Install python-dateutil==2.24. Installing Six:sudo pip install--ignore-installed Six5. Installing Jupyter:sudo Install JupyterStart command: Enter Jupyter notebook directly in the terminalTos

1. Installing the PYTHON3.0 Series version (Windows)1) Download: Install 3.5.0 in this website (: https://www.python.org/downloads/release/python-350/)Installation2) Add environment variables: Add python's installation location to "Path":Verify that Python is installed successfully and enter Python in cmd to verify:2. Installing TensorFlow1) First install PIP: Switch to the script directory under the newly installed Python directory:Easy_install.exe pipAdd the PIP to the environment variable (sa

Tensorflow_fold Tensorflow_fold in Jupyter notebook Effects preview as shown above, the environment is CentOS7 + Python with TensorFlow1.0 (Fold include) I to add kernel for Jupyter Jupyter is generally not our own set of the env under the python, such as I include Tensorflow_fold Library of Python is in source activate tensorflow1.0, so adding python to the note

1,ssh Login Virtual machine (remote server) 2, build the configuration file Jupyter Notebook--generate-config 3. Generate password This step is not actually used, because the password is not recommended to log in, modify the configuration file when the password recommended shielding Open Ipython and create a ciphertext password: In [1]: from Notebook.auth import passwd In [2]: passwd ()Enter Password:Verify Password:OUT[2]: ' sha1:86346e4cdf7a:c57960

Reproduced in: http://blog.csdn.net/chenweiqian_zy/article/details/59109596 Installation of the 1.anaconda installation reference https://www.continuum.io/downloads/. For example, my installation command is: Bash anaconda2-4.3.0-linux-x86_64.sh 2. Install Jupyter Update: Conda Update Anaconda Installation: Conda Install Jupyter 3. Install TensorFlow Create TensorFlow Environment: Conda create-n TensorF