EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login

What is Juypter Notebook?

By Anandkumar MurugesanAnandkumar Murugesan

Home » Data Science » Data Science Tutorials » Data Analytics Basics » What is Juypter Notebook?

What is Juypter Notebook

Overview of Juypter Notebook

A web application that allows documenting sharing where these documents hold equations, text and even live code, project juypter is responsible for maintaining a juypter notebook. the key languages supported by this language are Julia, Python, and R. here all these code outputs, code snippets and other visualization elements can be wrapped in the same document itself. it is a free distribution along with anaconda for python installation.

Understanding Juypter Notebook?

Below are some points that will help us understand the juypter notebook are as follows:

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

New Notebook Creation

By clicking on the new button the notebook can be created. We may need to select among the available choices on the type of languages implied.

Type of languages Implied

Naming

At the peak of the page is the word Untitled. This signifies the heading name for this current Notebook. Moving the mouse on top of the phrase Untitled and tick the text will prompt a dialog titled Rename Juypter Notebook. We could do with to mention a descriptive name here which defines the current book.

Rename Notebook

Running Cells

The cell of the Juypter Notebook will use code whenever it is created and the kernel opted-in start of the notebook is considered as the execution engine. if we start our notebook with python 3 kernel then we can write python code in it. Since the original Notebook has merely one unfilled cell in it, the Notebook can’t actually do anything.so adding contents of code to the cells and it can be executed, selecting a particular cell and clicking the run button will execute the code snippet in the cell. Even the sharing of variables and functions between two different cells can be performed. a set of braces to the left side of the cell mentions the order of the sequence in which the code was executed.

notebook with python 3 kernel

Menus: The key menu options which can be used to interact with the notebook are as below,

Popular Course in this category
Jupyter Notebook Training (2 Courses)2 Online Courses | 14+ Hours | Verifiable Certificate of Completion | Lifetime Access
4.5 (4,693 ratings)
Course Price

View Course

Related Courses
Data Scientist Training (76 Courses, 60+ Projects)Machine Learning Training (17 Courses, 27+ Projects)Cloud Computing Training (18 Courses, 5+ Projects)
  • File: this holds options to create, open, close or rename a preexisting notebook. Even checkpoints can be placed using the checkpoint option and a rollback can be performed when needed.
  • Edit: the edit is provided to perform functions like copy, paste, cut cells, also function like delete, merge and cell split can be performed.
  • View: This option is mainly used for toggling purpose, it helps to toggle the header, toolbar, and even the line numbers
  • Cell: The Cell menu permits to scuttle one cell, a group, or even all of the cells. It also helps to change the cell type. The erstwhile useful characteristic in this menu is the capability to lucid a cell’s output. this will be very useful in circumstances where there is a need to share out a notebook with other users so that the contents of the cell will be cleared out.
  • Kernel: This is used for working on the kernel which runs in the background, this is not manipulated very often as like other options.
  • Widgets: Allows to clear the state of the widget and also save the same.
  • Help: All additional details about Notebooks are provided here.

Exporting Notebook

There is always a need to export the results to different people, the nbconvert tool allows to export and converts the notebook to formats like Latex, HTML, PDF, etc. the Jinga templates are used by notebook files for converting into other formats.

Notebook Extensions

In Juypter Notebook frontend, these extensions are loaded. four major extensions supported by the notebook are kernel notebook, notebook server, and python kernel. Even their own extensions can also be built using javascript.

Why Juypter Notebook?

Juypter notebooks are upgraded versions of MathJax. they work on web-based technology they contain LaTeX hold up for mathematical equations by means of MathJax, a web browser improvement for the exhibit of mathematics. They allow a flexible way to a checkpoint and share them to other users in JSON format. Juypter notebooks can be sighted by means of viewer technology through which GitHub extends its support. Furthermore, since these notebook environments are for developing code, they proffer a lot of details obtainable in distinctive IDEs such as code completion and easy access to help.

Advantages of Juypter Notebook

1) Individual snippets can be rerun here flexibly

2) An instant edition can be applied to those snippets before execution

3) A paradigm of literate programming

4) Helps to test ideas and snippets

The Audience for Juypter Notebook

  • Audience interested to learn python
  • Professionals willing to elevate their skills in python and oriented IDE’s
  • Jupiter Notebook helps to move forward the professional aspects and technological skillset of professionals who are intended to do the same.

Conclusion

The Jupyter Notebook allows sharing data more than the salt they play a pivotal role in teaching and learning. It allows presenting the entire notebook content as a slideshow. Moreover, without any install from the users’ end.

Recommended Articles

This has been a guide to the What is Juypter Notebook?. Here we discussed the meaning, basic understanding audience, along with advantages of Juypter Notebook. You can also go through our other Suggested Articles to learn more –

  1. What is Joomla?
  2. What is Appium?
  3. NLP in Python
  4. Advantages of Artificial Intelligence

Jupyter Notebook Training (2 Courses)

2 Online Courses

14+ Hours

Verifiable Certificate of Completion

Lifetime Access

Learn More

0 Shares
Share
Tweet
Share
Primary Sidebar
Data Analytics Basics
  • Basics
    • What is Natural Language Processing
    • What Is Apache
    • What is Business Intelligence
    • Predictive Modeling
    • What is NoSQL Database
    • Types of NoSQL Databases
    • What is Cluster Computing
    • Uses of Salesforce
    • The Beginners Guide to Startup Analytics
    • Analytics Software is Hiding From You
    • Real Time Analytics
    • Lean Analytics
    • Important Elements of Mudbox Software
    • Business Intelligence Tools (Benefits)
    • Mechatronics Projects
    • Know about A Business Analyst
    • Flexbox Essentials For Beginners
    • Predictive Analytics Tool
    • Data Modeling Tools (Free)
    • Modern Data Integration
    • Crowd Sourcing Data
    • Build a Data Supply Chain
    • What is Minitab
    • Sqoop Commands
    • Pig Commands
    • What is Apache Flink
    • What is Predictive Analytics
    • What is Business Analytics
    • What is Pig
    • What is Fuzzy Logic
    • What is Apache Tomcat
    • Talend Data Integration
    • Talend Open Studio
    • How MapReduce Works
    • Types of Data Model
    • Test Data Generation
    • Apache Flume
    • NoSQL Data Models
    • Advantages of NoSQL
    • What is Juypter Notebook
    • What is CentOS
    • What is MuleSoft
    • MapReduce Algorithms
    • What is Dropbox
    • Pandas.Dropna()
    • Salesforce IoT Cloud
    • Talend Tools
    • Data Integration Tool
    • Career in Business Analytics
    • Marketing Analytics For Dummies
    • Risk Analytics Helps in Risk management
    • Salesforce Certification
    • Tips to Become Certified Salesforce Admin
    • Customer Analytics Techniques
    • What is Data Engineering?
    • Business Analysis Tools
    • Business Analytics Techniques
    • Smart City Application
    • COBOL Data Types
    • Business Intelligence Dashboard
    • What is MDM?
    • What is Logstash?
    • CAP Theorem
    • Pig Architecture
    • Pig Data Types
    • KMP Algorithm
    • What is Metadata?
    • Data Modelling Tools
    • Sqoop Import
    • Apache Solr
    • What is Impala?
    • Impala Database
    • What is Digital Image?
    • What is Kibana?
    • Kibana Visualization
    • Kibana Logstash
    • Kibana_query
    • Kibana Reporting
    • Kibana Alert
    • Longitudinal Data Analysis
    • Metadata Management Tools
    • Time Series Analysis
    • Types of Arduino
    • Arduino Shields
    • What is Arduino UNO?
    • Arduino Sensors
    • Arduino Boards
    • Arduino Application
    • 8085 Architecture
    • Dynatrace Competitors
    • Data Migration Tools
    • Likert Scale Data Analysis
    • Predictive Analytics Techniques
    • Data Governance
    • What is RTK
    • Data Virtualization
    • Knowledge Engineering
    • Data Dictionaries
    • Types of Dimensions
    • What is Google Chrome?
    • Embedded Systems Architecture
    • Data Collection Tools
    • Panel Data Analysis
    • Sqoop Export
    • What is Metabase?

Related Courses

Data Science Certification

Online Machine Learning Training

Cloud Computing Certification

Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

© 2020 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA Login

Forgot Password?

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you
Book Your One Instructor : One Learner Free Class

Let’s Get Started

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

Special Offer - Jupyter Notebook Training (2 Courses) Learn More