How To Install Python Jupyter Notebook

Jupyter Notebook is an open-source spider web awarding that allows you to create and share documents that incorporate alive code, equations, visualizations, and narrative text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, information visualization, motorcar learning, and much more.

Jupyter has support for over 40 different programming languages and Python is one of them. Python is a requirement (Python iii.3 or greater, or Python two.seven) for installing the Jupyter Notebook itself.

Jupyter Notebook can be installed by using either of the two ways described beneath:

Using Anaconda:
Install Python and Jupyter using the Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and information science. To install Anaconda, get through How to install Anaconda on windows? and follow the instructions provided.
Using PIP:
Install Jupyter using the PIP package manager used to install and manage software packages/libraries written in Python. To install pip, become through How to install PIP on Windows? and follow the instructions provided.

Installing Jupyter Notebook using Anaconda:

Anaconda is an open-source software that contains Jupyter, spyder, etc that are used for large data processing, data analytics, heavy scientific computing. Anaconda works for R and python programming language. Spyder(sub-application of Anaconda) is used for python. Opencv for python will work in spyder. Packet versions are managed by the bundle management system chosen conda.

To install Jupyter using Anaconda, just go through the following instructions:

Launching Jupyter:
Launching-Jupyter-Notebook

Jupyter-Launch-Window

Installing Jupyter Notebook using pip:

PIP is a packet management system used to install and manage software packages/libraries written in Python. These files are stored in a big "on-line repository" termed every bit Python Package Alphabetize (PyPI).
pip uses PyPI every bit the default source for packages and their dependencies.

To install Jupyter using pip, we need to first check if pip is updated in our organization. Use the following control to update pip:

python -thousand pip install --upgrade pip

Updating-pip-version

After updating the pip version, follow the instructions provided beneath to install Jupyter:

Control to install Jupyter:

python -m pip install jupyter

Beginning Installation:
Downloading Files and Information:
Installing Packages:
Finished Installation:

Launching Jupyter:
Employ the post-obit command to launch Jupyter using command-line:
```
jupyter notebook
```