Installation of Jupyter Notebook
Jupyter Notebook can be installed in two different ways either using pip or downloading Anaconda.
Using Anaconda
Anaconda is a popular distribution of Python and data science libraries, and it seamlessly integrates with Jupyter Notebook.
- For Windows-based systems refer to this: How to install Anaconda in Windows
- For Linux-based systems refer to this: How to install Anaconda in Linux
Using Pip
“pip” is a package manager for Python, used to install and manage software packages written in Python. It stands for “Pip Installs Packages” or “Pip Installs Python.” With pip, you can easily install Python libraries, packages, and modules from the Python Package.
For installing jupyter notebook using pip :
- Open a Terminal or Command Prompt: Press Ctrl+ALT+T for ubuntu and for windows press ” Windows key +X” to open command prompt.
- Install Jupyter Notebook: Write and enter following text in terminal.
pip install notebook
- Verify the Installation: Write following in terminal.
Jupyter notebook
- Launch the Jupyter Notebook: Write “jupyter notebook” and enter notebook will get opened in onw of browsers.
jupyter notebook
How to Write and Run Code in Jupyter Notebook
Jupyter Notebook is an open-source web application. It allows to generate and share documents that contain live code, equations, visualized data, and many more features. Nowadays it has become the first choice of many of the data scientists due to it’s immense data visualization and analysis capability. It has various packages which makes it easy to visualize data efficiently.
The Jupyter project has continued to evolve, and it includes a family of tools, such as JupyterLab and JupyterHub, which extend the capabilities of the original Jupyter Notebook. These tools cater to different use cases and make Jupyter an even more powerful platform for interactive computing and data science.
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