Getting Started with Jupyter Notebook

The easiest way to install jupyter notebook is through the terminal:

Step 1: Python’s latest version for this method(https://www.python.org/downloads/).

Step 2 : Updating pip using cmd.

python -m pip install --upgrade pip

Step 3: Install the jupyter notebook using the command pip install jupyter notebook in the terminal.(refer to the image)

pip install jupyter notebook 

Step 4: Use the command jupyter notebook in terminal to run the notebook.

jupyter notebook

After you type the command, this home page should open up in your default browser.

Applications of Jupyter Notebook

1. Data science workflows: Organizing and recording the steps involved in data analysis.
2. Making slide displays and reports for presentations.
3. Data analysis involves investigating and displaying data.
4. The creation and evaluation of machine learning models.
5. NLP: Text analysis and natural language processing.

Notebook Extensions

Extensions for Jupyter Notebook are add-ons or modules that improve the environment’s functionality. Jupyter Notebook is further enhanced and customizable by these extensions, which offer more capabilities and settings. The Jupyter JavaScript API and the page’s DOM are both accessible to extensions.

Although Jupyter Notebooks come with lots of built-in abilities, extensions let you add more. Actually, Jupyter supports four different kinds of extensions:

• Kernel
• IPython kernel
• Notebook
• Notebook server

You can download jupyter_contrib_nbextensions, one of the most well-liked extension sets, from GitHub. This is actually a set of pip-installed extensions made available by the Jupyter community.

Keyboards Shortcuts

Working with code and markdown cells in Jupyter Notebook requires the use of keyboard shortcuts to increase productivity. Here are several significant Jupyter Notebook keyboard shortcuts:

• Ctrl+Enter: Enter the current cell while holding down the control key.
• Y: Switch to the Code cell type.
• M: Markdown cell type change.
• D, D: Delete the current cell by pressing D twice.
• R: Switch to Raw cell type.
• Shift + S: Checkpoint and save the notebook.
• Z: Undelete a deleted cell.
• A: Add a new cell above the existing one.
• H: Display the keyboard shortcuts list.
• B: Add a new cell below the existing one.

Advantages

1. Supports interactive experimentation and step-by-step code execution for data exploration.
2. Multilingual: Supports a variety of programming languages.
3. Rich Documentation: Enables the creation of code-, text-, and visualization-filled notebooks.
4. Data Visualization: Works nicely with libraries for data visualization.
5. Support from the community: Gains from a vibrant community and a large ecosystem.

Disadvantages

1. Learning curve: Beginners may find it difficult.
2. Version control: Complicated when controlling notebook versions.
3. Resource Consuming: May use a lot of system resources.
4. Not Good for Big Projects: Not good for big software development projects.
5. Dependency Management: Managing dependencies takes more work.

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is a popular tool among data scientists, researchers, and educators for interactive computing and data analysis. The name “Jupyter” is derived from the three core programming languages it originally supported: Julia, Python, and R.