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Update index.md (#20638)

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More clean up of the rest of the document. Also changed "introspect" to "inspect", as I think that was the intended word.
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John S. De Stefano Jr
2018-10-21 02:26:01 -04:00
committed by Randell Dawson
parent 21acbbea98
commit 42d0c32754
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guide/english/data-science-tools/jupyter-notebook/index.md
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@ -26,11 +26,11 @@ And there you have it: the Jupyter Notebook.
## What does it do?
As a server-client application, the Jupyter Notebook App allows you to edit and run your notebooks via a web browser. The application can be executed on a PC without Internet access or it can be installed on a remote server, where you can access it through the Internet.
As a server-client application, the Jupyter Notebook App allows you to edit and run your notebooks via a web browser. The application can be executed on a PC without Internet access, or it can be installed on a remote server, where you can access it through the Internet.
Its two main components are the kernels and a dashboard.
Its two main components are kernels and a dashboard.
A kernel is a program that runs and introspects the user’s code. The Jupyter Notebook App has a kernel for Python code, but there are also kernels available for other programming languages. The dashboard of the application not only shows you the notebook documents that you have made and can reopen but can also be used to manage the kernels: you can which ones are running and shut them down if necessary.
A kernel is a program that runs and inpects the user’s code. The Jupyter Notebook App has a kernel for Python code, but there are also kernels available for other programming languages. The application dashboard not only shows you the notebook documents that you have made and can reopen, but can also be used to manage the kernels: you can select which ones are running and shut them down if necessary.
## Installation
You can use Anaconda or Pip to install Jupyter notebook.
@ -42,11 +42,11 @@ For steps to do so, refer to the official guide
=======
### Features
* No need to run your complete code file every time. Just run individual Notebook cell to evaluate specific piece of code.
* No need to run your complete code file every time. Just run individual Notebook cell to evaluate a specific piece of code.
* The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala.
* Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer.
* Notebooks can be shared with others using email, Dropbox, GitHub, and the Jupyter Notebook Viewer.
* Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.
* Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, TensorFlow.
* Leverage big data tools, such as Apache Spark, Python, R, and Scala. Explore that same data with pandas, scikit-learn, ggplot2, or TensorFlow.
The Jupyter notebook combines two components:
@ -64,8 +64,7 @@ These documents are produced by the Jupyter Notebook App.
As a server-client application, the Jupyter Notebook App allows you to edit and run your notebooks via a web browser.
The application can be executed on a PC without Internet access or it can be installed on a remote server, where you can access it through the Internet.
Its two main components are the kernels and a dashboard.
Its two main components are kernels and a dashboard.
### Kernels
A kernel is a program that runs and introspects the user’s code. The Jupyter Notebook App has a kernel for Python code, but there are also kernels available for other programming languages.