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[Music]

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this video shows you how to create a

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jupiter notebook let's start by adding a

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data asset to the project you can either

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browse to select files or drag files

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into the panel

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great now the data file is uploaded to

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object storage and available as a data

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asset in this project

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next create a notebook

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provide a name and a description

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and then select the runtime to use when

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running this notebook here you see the

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environments you could use you'll learn

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more about environments later so for now

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just select the default spark Python

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environment and verify the language and

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spark version when you ready create the

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notebook

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now wait while the runtime environment

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is instantiated once the environment is

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ready in the notebook access the data

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sources and locate the file click insert

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to code and choose how you want to

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insert the data the choices in this

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drop-down box are dependent upon the

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language used in this notebook and the

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file type notice that the inserted code

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includes the credentials you'll need to

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read the data file from the object

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storage instance

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when you run the code the first five

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rows display

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now let's take a closer look at

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environments on the environments tab you

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can define the hardware size and

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software configuration for the runtime

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associated with Watson studio tools such

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as notebooks you can see that there is

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one active environment runtime namely

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the runtime being used by the notebook

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you just created and here are the other

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default environments you can view any of

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the default environments to see a

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summary of the configuration

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and also create a new environment

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definition

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first provide a name in a description

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if you select spark for the type you'll

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see some additional configuration

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options in this case just accept the

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defaults and choose Scala for the

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software version when you ready create

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the new environment

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the environment is ready for you to use

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with a notebook

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to switch a notebook to use a different

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environment you need to first stop the

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colonel

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then you can change the environment

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and select the custom environment you

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just created and associate that with the

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notebook

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now open the notebook in edit mode and

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wait for the new environment to be

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instantiated

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since this notebook was last saved using

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a different kernel you need to set the

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new kernel

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let's delete the existing cell

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locate the source data file and insert a

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spark session data frame

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when you run the code the first five

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rows display

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now you're ready to explore the

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community and find sample notebooks and

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datasets to get started analyzing data

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[Music]