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Getting started with Zeppelin

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Getting started with Zeppelin

This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.

Open Source tools for Data Science

4.6 (4,657 Ratings) | 29K Students Enrolled

Cours 2 de 9 dans Certificat professionnel en science des données IBM Spécialisation

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

Visualiser le programme de cours

Enseigné par

Polong Lin
Data Scientist

Transcription

Welcome to getting started with Zeppelin Notebooks.

Zeppelin Notebooks help you with all your analytics needs,

including data ingestion, data discovery,

data analytics, and data visualization and collaboration.

To get started with Zeppelin Notebooks on Data Scientist Workbench,

once you're on the main page,

just click on the Zeppelin Notebook button.

When the Zeppelin Welcome page opens,

you'll find a number of links on the left that work with the notebook.

The links on the right point to Zeppelin Documentation and the Community.

Let's begin by focusing on what can be done with notebooks.

First, to import a note,

just click the Import Note link.

By default, the name of the imported note is the same as the original note,

but you can override it by providing a new name.

To create a new note,

click the Create New Note link.

Use the generated name or type a new name and click Create Note.

When you do this,

a new empty Zeppelin Notebook displays.

Let's move on to note layout.

Each Zeppelin note is composed of one to end paragraphs.

The note can be viewed as a paragraph container.

Each paragraph consists of two sections.

Code Section is where you put your source code,

and Result Section is where you can see the result of the code execution.

On the top right corner of each paragraph,

there are some commands that will allow you to execute the paragraph code,

Hide/Show Code Section, Hide/Show Result Section or configure the paragraph.

To configure the paragraph,

just click on the gear icon.

From this dialog, you can,

in descending order, control paragraph with,

and since Zeppelin is using the grid system of Twitter Bootstrap,

each paragraph width can be changed from 1 to 12.

You can move the paragraph one level up,

move the paragraph one level down,

create a new paragraph, change paragraph title,

show/hide line number in the code section,

disable the Run button for this paragraph,

export the current paragraph as an eye-frame and open the eye-frame in a new window,

clear the result section

and delete the current paragraph.

At the top of the note,

you can find a toolbar which exposes command buttons,

as well as Configuration,

Security, and Display Options.

They are, Execute all the paragraphs sequentially in their display order,

Hide/Show code section of all paragraphs,

Hide/Show result section of all paragraphs,

Clear the results section of all paragraphs,

Clone the current note,

Export the current note to a JSON file.

Please note that the code section and

the result section of all paragraphs will be exported.

If you have heavy data in the result section of some paragraphs,

it's recommended to clean them before exporting.

Delete the note and

schedule the execution of all paragraph using a Cron syntax.

On the right side of the note toolbar,

you can find configuration icons,

display all the keyboard shortcuts,

configure the interpreters binding to the current note,

and switch the No display mode between Default,

Simple and Report.

This brings us to the end of this video.

We hope you'll take the time to explore Zeppelin Notebooks. Thanks for watching.

Open Source tools for Data Science

4.6 (4,657 Ratings) | 29K Students Enrolled

Cours 2 de 9 dans Certificat professionnel en science des données IBM Spécialisation

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

Visualiser le programme de cours

Enseigné par

Polong Lin
Data Scientist

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