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Title | pyanp | Python ANP Module and |
Description | Python ANP Module and |
Keywords | N/A |
WebSite | pyanp.org |
Host IP | 192.30.252.154 |
Location | United States |
Site | Rank |
US$885,967
Last updated: 2023-05-11 17:40:01
pyanp.org has Semrush global rank of 11,946,620. pyanp.org has an estimated worth of US$ 885,967, based on its estimated Ads revenue. pyanp.org receives approximately 102,227 unique visitors each day. Its web server is located in United States, with IP address 192.30.252.154. According to SiteAdvisor, pyanp.org is safe to visit. |
Purchase/Sale Value | US$885,967 |
Daily Ads Revenue | US$818 |
Monthly Ads Revenue | US$24,535 |
Yearly Ads Revenue | US$294,414 |
Daily Unique Visitors | 6,816 |
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pyanp.org. | A | 3599 | IP: 192.30.252.154 |
pyanp.org. | A | 3599 | IP: 192.30.252.153 |
pyanp.org. | NS | 21600 | NS Record: ns-cloud-d4.googledomains.com. |
pyanp.org. | NS | 21600 | NS Record: ns-cloud-d2.googledomains.com. |
pyanp.org. | NS | 21600 | NS Record: ns-cloud-d3.googledomains.com. |
pyanp.org. | NS | 21600 | NS Record: ns-cloud-d1.googledomains.com. |
View on GitHub pyanp Python ANP Module and Resources pyanp A Python library for AHP (Analytic Hierarchy Process) and ANP (Analytic Network Process) . It should be of great use for: ANP/AHP researchers interested in extending the theory Practioneers needing to do calculations Students learning the theory Practioneers and Theorists wishing to publish using Open Data Installation First you need to install Jupyter and Python. The easiest way is to install anaconda: Download and install anaconda with Python 3.6 from anaconda.com Further instructions available at Installing Jupyter using Anaconda and Conda Now you can directly install pyanp from a Terminal (or Windows console) pip install pyanp or if you want to install the bleeding edge from github: pip install git+https://github.com/wjladams/pyanp.git Tutorials / Documentation Installing and getting started with Jupyter AHP Tree Tutorial Limit matrix calculations Tutorial Priority calculations Tutorial ANP row sensitivity Tutorial How to |
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