Python-Practical-Application-on-Climate-Variability-Studies | companion volume of Matlab versionm
kandi X-RAY | Python-Practical-Application-on-Climate-Variability-Studies Summary
kandi X-RAY | Python-Practical-Application-on-Climate-Variability-Studies Summary
Python-Practical-Application-on-Climate-Variability-Studies is a Jupyter Notebook library. Python-Practical-Application-on-Climate-Variability-Studies has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. NetCDF was developed and is maintained at Unidata. Unidata provides data and software tools for use in geoscience education and research. The NetCDF homepage may be found at The NetCDF source-code is hosted at GitHub, and may be found directly at
NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. NetCDF was developed and is maintained at Unidata. Unidata provides data and software tools for use in geoscience education and research. The NetCDF homepage may be found at The NetCDF source-code is hosted at GitHub, and may be found directly at
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Python-Practical-Application-on-Climate-Variability-Studies has a low active ecosystem.
It has 167 star(s) with 102 fork(s). There are 11 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 5 have been closed. On average issues are closed in 182 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Python-Practical-Application-on-Climate-Variability-Studies is current.
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Python-Practical-Application-on-Climate-Variability-Studies has no bugs reported.
Security
Python-Practical-Application-on-Climate-Variability-Studies has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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Python-Practical-Application-on-Climate-Variability-Studies is licensed under the MIT License. This license is Permissive.
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