pineapple | standalone Jupyter environment for doing data science

by nwhitehead Jupyter Notebook Version: v0.7 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | pineapple Summary

pineapple is a Jupyter Notebook library. pineapple has no bugs, it has no vulnerabilities and it has low support. However pineapple has a Non-SPDX License. You can download it from GitHub.

This project is a standalone Jupyter environment for doing data science using Python. It aims to include many useful working libraries and packages, while remaining super easy to install and use.

Support

Quality

Security

License

Reuse

Support

pineapple has a low active ecosystem.

It has 347 star(s) with 26 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 48 open issues and 27 have been closed. On average issues are closed in 56 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pineapple is v0.7

Quality

pineapple has no bugs reported.

Security

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

License

pineapple has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pineapple releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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pineapple Key Features

No Key Features are available at this moment for pineapple.

pineapple Examples and Code Snippets

title: Invert object tags: object expertise: advanced cover: blog_images/pineapple-on-green.jpg firstSeen: 2018-01-01T17:33:46+02:00 lastUpdated: 2020-10-20T23:02:01+03:00

npm

Lines of Code : 10

License : No License

Copy

const invertKeyValues = (obj, fn) =>
  Object.keys(obj).reduce((acc, key) => {
    const val = fn ? fn(obj[key]) : obj[key];
    acc[val] = acc[val] || [];
    acc[val].push(key);
    return acc;
  }, {});


invertKeyValues({ a: 1, b: 2, c: 1 }

title: Map dictionary values tags: dictionary expertise: intermediate cover: blog_images/pineapple-laptop.jpg firstSeen: 2019-08-20T15:34:30+03:00 lastUpdated: 2020-11-02T19:28:27+02:00

Python

Lines of Code : 7

License : No License

Copy

def map_values(obj, fn):
  return dict((k, fn(v)) for k, v in obj.items())


users = {
  'fred': { 'user': 'fred', 'age': 40 },
  'pebbles': { 'user': 'pebbles', 'age': 1 }
}
map_values(users, lambda u : u['age']) # {'fred': 40, 'pebbles': 1}

title: Number in range tags: math expertise: beginner cover: blog_images/pineapple-on-green.jpg firstSeen: 2019-08-20T13:41:40+03:00 lastUpdated: 2020-09-15T16:13:06+03:00

Python

Lines of Code : 6

License : No License

Copy

def in_range(n, start, end = 0):
  return start <= n <= end if end >= start else end <= n <= start


in_range(3, 2, 5) # True
in_range(3, 4) # True
in_range(2, 3, 5) # False
in_range(3, 2) # False