Jupyter Notebook is an open-source web-based interactive development environment (IDE) that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is commonly used for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter Notebook supports over 40 programming languages, including Python, R, Julia, and Scala.
The Jupyter Notebook application allows you to create and edit documents that are composed of "cells." There are two main types of cells: code cells and markdown cells. Code cells allow you to write and execute code, while markdown cells allow you to write narrative text. The Jupyter Notebook interface provides tools for manipulating and navigating the cells, including "running" a cell (to execute its code) and "adding" a new cell.
One of the main advantages of Jupyter Notebook is that it allows for a more interactive and exploratory programming experience, as the user can see the results of their code execution immediately within the same document. This makes it an ideal tool for data science and scientific computing, as it allows users to easily document and share their work.
Jupyter Notebook can be used in many fields and scenarios, such as for:
- Data Science and machine learning
- Data analysis and visualization
- Educational purposes
- Research, many journals accept the submission in the format of Jupyter Notebook
- Creating interactive documentation and tutorials
It's a popular tool among data scientists and is often used in combination with other popular tools such as pandas and matplotlib. With Jupyter Notebook you can organize your data and your code in one place, making it easier to share and understand.
Jupyter Notebook is a web-based interactive development environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. You can open Jupyter Notebook from the command line (CMD) using the following steps:
Open the Command Prompt (CMD) by searching for it in the Start menu or by using the keyboard shortcut Windows+R and then typing "cmd" and press enter.
Navigate to the location where you want to create your Jupyter Notebook file. You can do this by using the "cd" command to change the current directory. For example, if you want to create the file in the Documents folder, you would enter "cd Documents"
Type the command "jupyter notebook" and press enter.
A new window will open in your default web browser, displaying the Jupyter Notebook dashboard. The dashboard allows you to navigate the file system to find and open existing notebook files, or create new ones.
By default, the notebook server runs at http://localhost:8888/. A new browser tab should open with the Notebook Dashboard, and you can open an existing notebook or create a new one.
It is also important to note that, you should have Jupyter Notebook installed in your system before running the above command, in case you don't have it, you should install it using 'pip install jupyter' command.
Also, if you have multiple versions of python installed in your system, use the specific version by prefixing the command with python version, like 'python3 -m jupyter notebook' to open jupyter notebook for python3
how to install jupyter noterbook
Jupyter Notebook can be installed on your system using the Python package manager 'pip'. Here are the steps to install Jupyter Notebook using pip:
Open the Command Prompt (CMD) by searching for it in the Start menu or by using the keyboard shortcut Windows+R and then typing "cmd" and press enter.
Verify that you have python installed by typing "python --version" and press enter. If python is not installed, you will need to install it before you can proceed.
Install Jupyter Notebook by typing "pip install jupyter" and press enter. This command installs Jupyter Notebook and its dependencies.
Once the installation is finished, you can verify that Jupyter Notebook is installed by typing "jupyter notebook --version" and press enter.
To start a Jupyter Notebook server, type "jupyter notebook" in the command prompt and press enter. This will open the Jupyter Notebook application in your web browser.
It's important to note that the above instructions assume that you have the latest version of pip, you can check it by running 'pip --version' and update it by running 'python -m pip install --upgrade pip'
Also, you may want to install jupyter notebook in a specific python environment, you can activate it using 'conda activate environment_name' or 'source activate environment_name' before running the 'pip install jupyter' command
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