how to run jupyter notebook

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

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:\

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 t

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, ~ re

Installed on the Mac Jupyter Notebook is also smooth, mainly for reference to the Mybefly share of the document, where the installation process used to make a record of the steps:1. Upgrade Pip:sudo python-m pip install--upgrade--force pip2. Install setuptools:sudo pip Install setuptools==33.1.13. Install python-dateutil:sudo pip Install python-dateutil==2.24. Installing Six:sudo pip install--ignore-install

python IDLE cannot connect and Jupyter notebook cannot open the browser Problem Description WIN10 system due to firewall mechanism, installing Python and Anaconda will cause the following error:1. After installing Python, an error occurred while opening IDLE, unable to connect to the Python interpreter. Error message isIDLE ' s subprocess didn ' t make connection. either IDLE can;tStart a subprocess or pe

Python: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. Install jupyter:sudo pip Install JupyterStart command: Enter Jupyter notebook directly in the terminalMA

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 fro

output like this to prove that Pip is properly installed InstallationVC for PythonWithout this, a lot of data analysis packages are not installed, because these packages are written in C + +, you can download VC for Python from hereInstallation of common data analysis to usePython librarypip install numpypip install pandaspip install matplotlibpip install statsmodelsInstallationIpython NotebookPip Install JupyterTest Ipython NotebookCommand line Input Ipython

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:Verif

First, both the server and the client are installed Jupyter notebook1. Perform the server first:jupyter-Notebook --no-browser --port=1111 (port number as long as the conflict is avoided) Record tokens that appear on the connection2. Enter again on the client: (Make sure SSH is installed) ssh -n -f -l localhost:1112:localhost:1111 username@serverIP (where username is the user name, ServerIP is the IP addre

1, install python3.x, note Modify the environment variable path (append the Python installation directory, such as: D:\Program files\python\python36-32)2. View the currently installed third-party package: python–m PIP list3. Installing ipython:python–m pip install Ipython[all]4, install other:python–m pip Install PYZMQpython-m pip Install Jinja2python-m Pip Install tornadoPython-m pip Install Notebook5. Modify the environment variable path (append the directory where the Ipython executable file

Preparatory workThe first thing to install is IpythonRecommended direct Anaconda (installed on the server).Anaconda helps you integrate N-Python-related environments (packages) so you don't have to manually click and installServer Startup Ipython NotebookCode:# Port own definition # IP I direct use of four 0, if there is a need to change their ownRemember to specify the IP and port, where your current path starts, and where the path is when you enter notebook.Local accessCopy the in URL to a loc

Windows 7 M3 Build 6801.0.080913-2030 (hereinafter referred to as: Win7 M3) The test results in the virtual machine satisfied me, the system stability is quite high, which gives me enough information to Win7 M3 directly run on my notebook. In the morning, the direct redo of my notebook system, because X60 does not have the optical drive, I use before on the mobil

ah.For this speculation, the customer still wants to know more details, well, let's take a look at the ash situation:Before migration"In Hard parse" ==> 15 line "in Hard parse" ratio: 37.5%2018/03/12 15:26:36---> 2018/03/12 15:37:25.693000000Sql_id:30 AAfter migration"In Hard parse" ==> 252 line "in Hard parse" ratio: 76.6%2018/03/20 11:33:50---> 2018/03/20 12:25:58.591000000sql_id:292 AThe overall time after the migration has not only been significantly prolonged, but the sql_id in ash has inc