Yahoo Web Search

Search results

1. Top results related to install jupyter notebook mac

   • Install jupyter notebook offline without pip

     Top Answer

     Answered Sep 12, 2018 · 1 votes

     Extract zip file and run this command :

     python setup.py install --single-version-externally-managed --root=/-

     Or you can use this command

     pip install .

     Check all answers on Stack Overflow

     1/5

   • install jupyter notebook in windows

     Top Answer

     Answered May 31, 2017 · 4 votes

     Three Ways to Run Jupyter In Windows

     The "Pure Python" Way

     Make your way over to python.org, download and install the latest version (3.5.1 as of this writing) and make sure that wherever you install it, the directory containing python.exe is in your system PATH environment variable. I like to install it in the root of my C: drive, e.g. C:\Python35, so my PATH contains that directory.

     Once that's installed, you'll want to create a virtual environment, a lightweight, disposable, isolated python installation where you can experiment and install 3rd party libraries without affecting your "main" installation. To do this, open up a Powershell window, and enter the following commands (where "myenv" is the name of the virtualenv we're going to create, you can use any name you like for this):

     PS C:\> python -m venv myenvPS C:\> myenv\Scripts\activate-

     Then, let's install jupyter and start up a notebook:

     PS C:\> pip install jupyterPS C:\> jupyter notebook-

     Incidentally, if you get a warning about upgrading pip, make sure to use the following incantation to upgrade (to prevent an issue on windows where pip is unable to upgrade its own executable in-place):

     PS C:\> python -m pip install --upgrade pip-

     Advantages: Uses "pure" python, official tools, and no external dependencies. Well supported, with plenty of online documentation and support communities.

     Disadvantages: While many popular data analysis or scientific python libraries can be installed by pip on windows (including Pandas and Matplotlib), some (for example SciPy) require a C compiler and the presence of 3rd party C libraries on the system which are difficult to install on Windows.

     Who is it for? Python users comfortable with the command line and the tools that ship with Python itself.

     The Python Distributions

     Because of the difficulty mentioned above in getting packages like SciPy installed on Windows, a few commercial entities have put together pre-packaged Python "distributions" that contain most, if not all, of the commonly used libraries for data analysis and/or scientific computing.

     Anaconda is an excellent option for this. Download their Python 3.5 installer for Windows, run it, and in your Start menu you'll have a bunch of neat new tools, including an entry for Jupyter Notebook. Click to start it up and it'll launch in the background and open up your browser to the notebook console. It doesn't get any easier than that.

     Advantages: Simplest, fastest way to get started and it comes with probably everything you need for your scientific computing projects. And anything it doesn't ship with you can still instalAl via its built in conda package manager.

     Disadvantages: No virtualenv support, although the conda package manager provides very similar functionality with the conda create command. Relies on a commercial 3rd party for support.

     Who is it for? People who want the quickest, easiest way to get Jupyter notebook up and running (IE, most people).

     Docker

     Docker is a platform for running software in "containers", or self-contained, isolated processes. While it may sound similar in concept to python virtual environments, Docker containers are an entirely different kind of technology offering vast flexibility and power. Don't let the flexibility and power and confusing terminology put you off though -- Docker can be easy to get up and running on your PC and has some advantages of its own with respect to Python and Jupyter.

     To get started on Windows, download the Docker Toolbox, which contains the tools you need to get up and running. Run the installer and make sure the checkbox to install Virtualbox is checked if you don't already have Virtualbox or another virtualization platform (like VMWare Workstation) installed.

     Once installed, you'll have a "Docker Quickstart Terminal" shortcut in your Start Menu. Double click that shortcut and it will create your first Docker engine for you and set up everything you need automatically. Once you see a prompt in the terminal, you can use the docker run command to run Docker "images", which you can think of as pre-packaged bundles of software that will be automatically downloaded from the Docker Hub when you run them. There are many images on Docker Hub that offer Jupyter, including the official Jupyter Notebook image, and Anaconda itself if you want the full SciPy stack.

     To run just the official Jupyter Notebook image in your Docker engine, type the following into the Docker Quickstart Terminal:

     $ docker run --rm -it -p 8888:8888 -v "$(pwd):/notebooks" jupyter/notebook-

     After all the image's "layers" are downloaded, it will start up. Make a note of the IP address listed in the terminal (for example, 192.168.99.100), and point your browser at that IP address, port 8888 (e.g. http://192.168.99.100:8888) and you'll see the familiar Jupyter console, with both Python 2 and Python 3 kernels available.

     Advantages: Use the flexibility and power of Docker! Honestly one of my favorite things about Docker is thinking of it as an open software distribution platform for things like the SciPy stack that are hard to install.

     Disadvantages: Grapple with the flexibility and power of Docker! There are quite a few "gotchas" to be aware of when dealing with Docker, such as immutable containers, data volumes, arcane commands, and rapidly developing, occasionally buggy tooling.

     Check all answers on Stack Overflow

     2/5

   • Install Jupyter Notebook on Miniconda

     Top Answer

     Answered Mar 07, 2018 · 47 votes

     This problem has just happened to me as well. My older anaconda environments seem to be working fine but the environments I have created today seem to have this exact issue which throws AttributeError: type object 'IOLoop' has no attribute 'initialized'.

     It seems to be because of the latest release of tornado==5.0 which released either today or yesterday. I reverted back to the last stable version i.e. tornado==4.5.3 and it worked.

     Here's the solution

     pip uninstall tornadopip install tornado==4.5.3

     Check all answers on Stack Overflow

     3/5

   • Install Jupyter notebook offline

     Top Answer

     Answered May 10, 2018 · 4 votes

     warning: this answer might fail in future due to a possible deprecation in --relocatable option in virtualenv

     idea: create a relocatable virtualenv in another computer, install jupyter in there, and tar and move it to the said linux machine, untar it, and profit

     Nb. To install virtualenv, run pip install virtualenv

     step 1: create a virtualenv

     $ virtualenv .venv

     step 2: activate .venv

     $ . .venv/bin/activate

     step 3: install jupyter

     $ pip install jupyter

     step 4: mark .venv as relocatable

     $ virtualenv --relocatable .venv

     step 5: tar the .venv directory

     $ tar czfv venv.tgz .venv/

     step 6: move to offline linux machine, and untar

     $ tar xvzf venv.tgz

     step 7: activate virtualenv to use it

     $ . .venv/bin/activate

     Check all answers on Stack Overflow

     4/5

   • Jupyter Notebook - install python 2

     Top Answer

     Answered Apr 25, 2018 · 2 votes

     I had the same issue. You can try starting jupyter-notebook from python2

     $ python2 /path/to/jupyter-notebook-

     in my case running python2 /usr/bin/jupyter-notebook fixed the issue.

     shebang in my case

     $ head -1 /usr/bin/jupyter-notebook#!/usr/bin/python3.4$

     Check all answers on Stack Overflow

     5/5

   Show moreShow less

2. jupyter.org › installProject Jupyter | Installing Jupyter

   jupyter.org › install

   • Cached

   Learn how to install Jupyter Notebook on your Mac using Homebrew, a package manager for macOS and Linux. Follow the instructions to run the notebook and access its features.

3. www.geeksforgeeks.org › how-to-install-jupyterHow to Install Jupyter Notebook on MacOS? - GeeksforGeeks

   www.geeksforgeeks.org › how-to-install-jupyter

   • Cached

   • Method 1: Using Pip to Install Jupyter Notebook Package
   • Method 2: Using setup.py to Install Jupyter Notebook
   • Verifying Jupyter Notebook Installation on Macos
   • GeneratedCaptionsTabForHeroSec

   Follow the below steps to install the Jupyter Notebook package on macOS using pip: Step 1: Install the latest Python3 in MacOS Step 2:Check if pip3 and python3 are correctly installed. Step 3:Upgrade your pip to avoid errors during installation. Step 4:Enter the following command to install Jupyter Notebook using pip3.

   See full list on geeksforgeeks.org

   Follow the below steps to install the Jupyter Notebook package on macOS using the setup.py file: Step 1: Download the latest source package of Jupyter Notebook for python3 from here. Step 2: Extract the downloaded package using the following command. Step 3:Go inside the folder and Enter the following command to install the package. Note: You must ...

   See full list on geeksforgeeks.org

   Enter the following command in your terminal to start up Jupyter Notebook and verify if the installation has been done properly: If there is any error while importing the module then is not installed properly.

   See full list on geeksforgeeks.org

   Learn two methods to install Jupyter Notebook in Python on MacOS using pip or setup.py. Jupyter Notebook is a web application for creating and sharing documents with code, equations, visualizations, and text.

   See full list on geeksforgeeks.org

4. www.macdentro.com › install-jupyter-notebook-macInstall Jupyter Notebook on Mac - Step By Step Guide

   www.macdentro.com › install-jupyter-notebook-mac

   • Cached

   Learn how to install Jupyter Notebook on your Mac using Homebrew, a package manager for Mac OS. Follow six simple steps to get started with Jupyter Notebook, a versatile programmer's notebook for data science and machine learning.

5. www.codecademy.com › setting-up-jupyter-notebookHow To Install Jupyter Notebook on Mac and Windows

   www.codecademy.com › setting-up-jupyter-notebook

   • Cached

   We recommend installing Jupyter Notebook as part of either Anaconda or as an addition to Miniconda. Jupyter Notebook can be installed separately, but having either Anaconda or Miniconda already installed makes installing Jupyter Notebook easier.

   • 
   • 
   • 
   • 

6. www.youtube.com › watchHow to Install Jupyter Notebook & Python 3.12.1 in MacOS ...

   www.youtube.com › watch

   • Cached

   Feb 4, 2024 · 244. 14K views 5 months ago. 🚀 Learn how to install Jupyter Notebook in Mac without Anaconda! In this step-by-step tutorial, we'll guide you through the process of setting up Python,...

   • Video Duration: 12 min
   • Views: 16.5K

   • Author: Joey'sTech

7. sparkbyexamples.com › python › install-jupyterInstall Jupyter Notebook or Jupyterlab on Mac OS - Spark By ...

   sparkbyexamples.com › python › install-jupyter

   • Cached

   Mar 27, 2024 · Learn how to install Jupyter Notebook and Jupyterlab on Mac OS using pip, conda, brew, or mamba. Jupyter is an interactive computing environment for data science, machine learning, and research.

8. People also ask

   How to install Jupyter Notebook on Mac?

   • Follow the below steps to install the Jupyter Notebook package on macOS using the setup.py file: Step 1: Download the latest source package of Jupyter Notebook for python3 from here. Step 2: Extract the downloaded package using the following command. Step 3: Go inside the folder and Enter the following command to install the package.

   How to Install Jupyter Notebook on MacOS? - GeeksforGeeks

   www.geeksforgeeks.org/how-to-install-jupyter-notebook-on-macos/

   See all results for this question

   How do I install Jupyter?

   • Install the classic Jupyter Notebook with: To run the notebook: Install Voilà with: Once installed, launch Voilà with: Homebrew is a package manager for macOS and Linux. You can use it to install Jupyter by running:

   Project Jupyter | Installing Jupyter

   jupyter.org/install

   See all results for this question

   How to install Python 3 & Jupyter Notebook?

   • As with the Windows installation, you’ll need a package manager so that you can install both Python 3 and Jupyter. Python 3 is required as the latest notebooks are not optimized for older python versions. Instead of anaconda, we will install Jupyter Notebook using Homebrew for Mac OS. First, install XCode command-line tools: Open zshell and type:

   Install Jupyter Notebook on Mac - Step By Step Guide - Macdentro.com

   www.macdentro.com/install-jupyter-notebook-mac/

   See all results for this question

   Does Jupyter work on Mac?

   • Installing Python: A Prerequisite for Jupyter on Mac Before diving into Jupyter Notebook, you need to ensure that Python is installed on your Mac. Jupyter relies on Python, and having the correct version is essential for compatibility.

   Setting Up Jupyter Notebook on Mac: A Comprehensive Guide

   hataftech.com/python/setting-up-jupyter-notebook-on-mac-a-comprehensive-guide/

   See all results for this question

9. hataftech.com › python › setting-up-jupyter-notebookSetting Up Jupyter Notebook on Mac: A Comprehensive Guide

   hataftech.com › python › setting-up-jupyter-notebook

   • Cached

   Dec 14, 2023 · Learn how to set up Jupyter on popular cloud platforms and access your notebooks from anywhere, providing a convenient and scalable option for Mac users. Discover the advantages of running Jupyter in the cloud, such as increased computational power and collaboration opportunities.