nimbus-scrapy

nimbus_scrapy

These details have not been verified by PyPI

Project links

Homepage

Project description

A Python Extended for Django.

Supports Python 2.7, 3.4 or 3.5+
Free software: Apache License 2.0
On the Python Package Index (PyPI)

Python Package Index (PyPI): https://pypi.python.org/pypi/nimbus_scrapy/

Install

Easiest installation is via pip

pip install nimbus_scrapy

Quick Usage

Copyright and License

This software is licensed under the Apache License, Version 2.0. The Apache License is a well-established open source license, enabling collaborative open source software development.

See the “LICENSE” file for the full text of the license terms.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

4.1.2

Apr 4, 2020

4.1.1

Apr 4, 2020

4.1.0

Apr 4, 2020

4.0.0

Mar 28, 2020

3.5.8

Jan 29, 2019

3.5.7

Jan 28, 2019

3.5.6

Jan 28, 2019

3.5.5

Jan 28, 2019

3.5.4

Jan 28, 2019

3.5.3

Jan 27, 2019

3.5.2

Jan 27, 2019

3.5.1

Jan 27, 2019

3.5.0

Jan 27, 2019

3.4.6

Jan 27, 2019

3.4.5

Jan 26, 2019

3.4.4

Jan 25, 2019

3.4.3

Jan 25, 2019

3.4.2

Jan 25, 2019

3.4.1

Jan 25, 2019

3.4.0

Jan 25, 2019

3.3.9

Jan 25, 2019

3.3.8

Jan 25, 2019

3.3.7

Jan 25, 2019

3.3.6

Jan 25, 2019

3.3.5

Jan 25, 2019

3.3.4

Jan 25, 2019

3.3.3

Jan 25, 2019

3.3.2

Jan 25, 2019

3.3.1

Jan 25, 2019

3.3.0

Jan 25, 2019

3.2.9

Jan 24, 2019

3.2.8

Jan 24, 2019

3.2.7

Jan 24, 2019

3.2.6

Jan 24, 2019

3.2.5

Jan 24, 2019

3.2.4

Jan 24, 2019

3.2.3

Jan 24, 2019

3.2.2

Jan 24, 2019

3.2.1

Jan 24, 2019

3.2.0

Jan 24, 2019

3.1.9

Jan 24, 2019

3.1.8

Jan 23, 2019

3.1.7

Jan 23, 2019

3.1.6

Jan 23, 2019

3.1.5

Jan 22, 2019

3.1.4

Jan 22, 2019

3.1.3

Jan 22, 2019

3.1.2

Jan 22, 2019

3.1.1

Jan 22, 2019

3.1.0

Jan 21, 2019

3.0.9

Jan 21, 2019

3.0.8

Jan 19, 2019

2.0.6

Dec 22, 2018

2.0.4

Dec 21, 2018

2.0.2

Dec 20, 2018

1.6.0

Dec 19, 2018

1.5.0

Dec 18, 2018

1.0.0

Oct 17, 2018

0.8.9

Aug 6, 2018

0.8.2

Aug 2, 2018

0.8.1

Jul 30, 2018

0.8.0

Jan 30, 2018

0.7.4

Jan 27, 2018

0.7.3

Jan 27, 2018

0.7.2

Jan 27, 2018

0.7.1

Jan 26, 2018

0.7.0

Jan 26, 2018

0.6.9

Jan 26, 2018

0.6.8

Jan 25, 2018

0.6.7

Jan 25, 2018

0.6.6

Jan 25, 2018

0.6.5

Jan 23, 2018

0.6.4

Jan 21, 2018

0.6.3

Jan 21, 2018

0.6.2

Jan 21, 2018

0.6.1

Jan 20, 2018

0.6.0

Jan 19, 2018

0.5.9

Jan 19, 2018

0.5.8

Jan 19, 2018

0.5.7

Jan 19, 2018

0.5.6

Jan 19, 2018

0.5.5

Jan 19, 2018

0.5.4

Jan 19, 2018

0.5.3

Jan 18, 2018

0.5.2

Jan 18, 2018

0.5.1

Jan 17, 2018

0.5.0

Jan 17, 2018

This version

0.4.9

Jan 17, 2018

0.4.8

Jan 17, 2018

0.4.7

Jan 17, 2018

0.4.6

Jan 17, 2018

0.4.5

Jan 17, 2018

0.4.4

Jan 17, 2018

0.4.3

Jan 12, 2018

0.4.2

Jan 12, 2018

0.4.1

Jan 12, 2018

0.4.0

Jan 10, 2018

0.3.4

Jan 9, 2018

0.3.3

Jan 9, 2018

0.3.2

Jan 8, 2018

0.3.1

Jan 8, 2018

0.3.0

Jan 8, 2018

0.2.9

Jan 8, 2018

0.2.8

Jan 8, 2018

0.2.7

Jan 8, 2018

0.2.6

Jan 8, 2018

0.2.5

Jan 8, 2018

0.2.4

Jan 8, 2018

0.2.3

Jan 8, 2018

0.2.2

Jan 8, 2018

0.2.1

Jan 8, 2018

0.2.0

Jan 8, 2018

0.1.9

Jan 8, 2018

0.1.8

Jan 8, 2018

0.1.6

Jan 8, 2018

0.1.5

Jan 8, 2018

0.1.3

Jan 7, 2018

0.1.2

Jan 7, 2018

0.1.1

Jan 7, 2018

0.1.0

Jan 7, 2018

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

nimbus_scrapy-0.4.9-py2.py3-none-any.whl (16.4 kB view details)

Uploaded Jan 17, 2018 Python 2 Python 3

File details

Details for the file nimbus_scrapy-0.4.9-py2.py3-none-any.whl.

File metadata

Download URL: nimbus_scrapy-0.4.9-py2.py3-none-any.whl
Upload date: Jan 17, 2018
Size: 16.4 kB
Tags: Python 2, Python 3
Uploaded using Trusted Publishing? No

File hashes

Hashes for nimbus_scrapy-0.4.9-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`99fa993b2571556ad16b1837c63ccbe3340d7cb1c1f9b5393d999fef2604e892`
MD5	`b8118abb7d5272d12ce0570ff842a145`
BLAKE2b-256	`a2d29c8f5308590969e02afedce22708e9615cbd73c9b63616ca8fd42879f360`