ipydatawidgets

A set of widgets to help facilitate reuse of large datasets across widgets

These details have not been verified by PyPI

Project links

Homepage

Project description

UNKNOWN

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

4.3.5

Jun 14, 2023

4.3.4

Jun 11, 2023

4.3.3

Feb 19, 2023

4.3.2

Aug 24, 2022

4.3.1.post1

May 19, 2022

4.3.1

May 17, 2022

4.2.0

Jan 4, 2021

4.1.0

Sep 25, 2020

4.0.1

Jul 4, 2019

4.0.0

Oct 19, 2018

3.2.0

Sep 14, 2018

3.1.0

May 29, 2018

3.0.0

Mar 6, 2018

2.0.0

Nov 9, 2017

1.2.2

Nov 8, 2017

This version

1.2.1

Oct 26, 2017

1.2.0

Aug 31, 2017

1.1.2

Aug 26, 2017

1.1.1

Aug 22, 2017

1.1.0

Aug 21, 2017

1.0.2

Aug 15, 2017

1.0.1

Aug 14, 2017

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ipydatawidgets-1.2.1.tar.gz (60.6 kB view details)

Uploaded Oct 26, 2017 Source

Built Distribution

ipydatawidgets-1.2.1-py2.py3-none-any.whl (40.0 kB view details)

Uploaded Oct 26, 2017 Python 2 Python 3

File details

Details for the file ipydatawidgets-1.2.1.tar.gz.

File metadata

Download URL: ipydatawidgets-1.2.1.tar.gz
Upload date: Oct 26, 2017
Size: 60.6 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for ipydatawidgets-1.2.1.tar.gz
Algorithm	Hash digest
SHA256	`0183e4064920f9c9b5e34a02dc751a14f80fb247a84851ca61083ba28fbe5f3d`
MD5	`cc155c42be97a918641c0a0a23ece611`
BLAKE2b-256	`f0e12a0498884504e5b2a00d0febcba043730155773e90a6d1ae9f8cc4590f62`

See more details on using hashes here.

Provenance

File details

Details for the file ipydatawidgets-1.2.1-py2.py3-none-any.whl.

File metadata

Download URL: ipydatawidgets-1.2.1-py2.py3-none-any.whl
Upload date: Oct 26, 2017
Size: 40.0 kB
Tags: Python 2, Python 3
Uploaded using Trusted Publishing? No

File hashes

Hashes for ipydatawidgets-1.2.1-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`b87638f1cc3f9f035bddb75cd3a97e26de0786bfb3e9c914f836cafd87fafece`
MD5	`d51ee66240c1c9ec7f463976d105298e`
BLAKE2b-256	`4d1f03c5aab514dc27e1f6f04e837bd17e95310788bf35ba2eb975d4ce79082e`