WP3_1 | Repository for the wind turbine design optimization cases
kandi X-RAY | WP3_1 Summary
kandi X-RAY | WP3_1 Summary
WP3_1 is a Python library. WP3_1 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However WP3_1 build file is not available. You can download it from GitHub.
Repository for the wind turbine design optimization cases.
Repository for the wind turbine design optimization cases.
Support
Quality
Security
License
Reuse
Support
WP3_1 has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
WP3_1 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of WP3_1 is current.
Quality
WP3_1 has no bugs reported.
Security
WP3_1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
WP3_1 is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
WP3_1 releases are not available. You will need to build from source code and install.
WP3_1 has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of WP3_1
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of WP3_1
WP3_1 Key Features
No Key Features are available at this moment for WP3_1.
WP3_1 Examples and Code Snippets
No Code Snippets are available at this moment for WP3_1.
Community Discussions
No Community Discussions are available at this moment for WP3_1.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install WP3_1
Installation with Anaconda is the recommended approach because of the ability to create self-contained environments suitable for testing and analysis. WISDEM® requires Anaconda 64-bit. The installation instructions below use the environment name, "wisdem-env," but any name is acceptable. The Python-based framework is maintained by Pietro Bortolotti. Contact him if you have any question.
Setup and activate the Anaconda environment from a prompt (Anaconda3 Power Shell on Windows or Terminal.app on Mac) conda config --add channels conda-forge conda create -y --name wisdem-env python=3.8 conda activate wisdem-env
Navigate to your desired directory (cd) and clone the repository git clone https://github.com/IEAWindTask37/WP3_1
Use conda to install the build dependencies, but then install WISDEM from source. Note the differences between Windows and Mac/Linux build systems conda install -y wisdem git conda remove --force wisdem conda install compilers # (Mac / Linux only) conda install m2w64-toolchain libpython # (Windows only) git clone https://github.com/WISDEM/WISDEM.git cd WISDEM git checkout develop python setup.py develop cd ..
Navigate to the script, run it, and check the output files that are generated cd WP3_1/Case_Aero python runCCBlade.py
Build the optimization setup
Setup and activate the Anaconda environment from a prompt (Anaconda3 Power Shell on Windows or Terminal.app on Mac) conda config --add channels conda-forge conda create -y --name wisdem-env python=3.8 conda activate wisdem-env
Navigate to your desired directory (cd) and clone the repository git clone https://github.com/IEAWindTask37/WP3_1
Use conda to install the build dependencies, but then install WISDEM from source. Note the differences between Windows and Mac/Linux build systems conda install -y wisdem git conda remove --force wisdem conda install compilers # (Mac / Linux only) conda install m2w64-toolchain libpython # (Windows only) git clone https://github.com/WISDEM/WISDEM.git cd WISDEM git checkout develop python setup.py develop cd ..
Navigate to the script, run it, and check the output files that are generated cd WP3_1/Case_Aero python runCCBlade.py
Build the optimization setup
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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page