UDDataSciTutorial | repo provides setup and files for a Julia data science

by tobydriscoll Jupyter Notebook Version: Current License: MIT

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kandi X-RAY | UDDataSciTutorial Summary

UDDataSciTutorial is a Jupyter Notebook library. UDDataSciTutorial has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repo provides setup and files for a Julia data science tutorial at the University of Delaware.

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Support

UDDataSciTutorial has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

UDDataSciTutorial has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of UDDataSciTutorial is current.

Quality

UDDataSciTutorial has no bugs reported.

Security

UDDataSciTutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

UDDataSciTutorial is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

UDDataSciTutorial releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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UDDataSciTutorial Key Features

No Key Features are available at this moment for UDDataSciTutorial.

UDDataSciTutorial Examples and Code Snippets

No Code Snippets are available at this moment for UDDataSciTutorial.

Community Discussions

No Community Discussions are available at this moment for UDDataSciTutorial.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install UDDataSciTutorial

Follow the directions at https://julialang.org/downloads to install Julia.
If you are familiar with git, clone the repo as usual. Otherwise, click the "Code" button above and select the zip file to download. Unpack it and take note of the location.
Start Julia. You will get a prompt "julia>". This is called the REPL.
At the prompt, enter cd("path/to/this/repo") to change to the root directory of the tutorial. (It's where this file is located for you.)
At the prompt, hit the "]" key. This changes the prompt's color, and it ends with "pkg>". This is the package manager mode.
At the prompt, enter activate . to activate the environment defined in this directory.
At the prompt, enter instantiate and then wait as the package manager downloads all the dependencies for the tutorial. On Windows in particular, this may take a lot of time (something to do with downloading tons of small files).
When the prompt returns, hit the Backspace key (Delete on Mac). This returns you to the main prompt.
It's recommended that you also enter include(joinpath("src","preload.jl")) now in order to cause all the packages to be fully compiled. This will take a long time on every platform. (They're working on it.) When it's done, your browser should open to an instance of Jupyter notebook. You can close this.
Hit Ctrl-C or Command-C to interrupt the notebook server.
You can now quit Julia by closing the window, or by hitting Ctrl-D or Command-D.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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