Pumping_Test_Interpretation_with_Python | version 2 or 3 ) script to aid in the interpretation
kandi X-RAY | Pumping_Test_Interpretation_with_Python Summary
kandi X-RAY | Pumping_Test_Interpretation_with_Python Summary
Pumping_Test_Interpretation_with_Python is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. Pumping_Test_Interpretation_with_Python has no bugs, it has no vulnerabilities and it has low support. However Pumping_Test_Interpretation_with_Python build file is not available. You can download it from GitHub.
This is a Python (version 2 or 3) script to aid in the interpretation of aquifer pumping tests using the Theis (1935) and Hantush and Jacob (1955) solutions for confined and leaky confined aquifers, respectively, as well as a simple numerical method-of-lines solution for an unconfined aquifer with wellbore storage. It is intended as a simple means for quick evaluation purposes and is not designed to be a comprehensive alternative to commercial codes such as AQTESOLVE [The current version of the script does not perform automatic curve fitting but instead relies on the user to try out different combinations are aquifer/aquitard parameters and note the changes in the resulting model fits to the data. Additional discussion is provided in my blog post [The following Python libraries are required:.
This is a Python (version 2 or 3) script to aid in the interpretation of aquifer pumping tests using the Theis (1935) and Hantush and Jacob (1955) solutions for confined and leaky confined aquifers, respectively, as well as a simple numerical method-of-lines solution for an unconfined aquifer with wellbore storage. It is intended as a simple means for quick evaluation purposes and is not designed to be a comprehensive alternative to commercial codes such as AQTESOLVE [The current version of the script does not perform automatic curve fitting but instead relies on the user to try out different combinations are aquifer/aquitard parameters and note the changes in the resulting model fits to the data. Additional discussion is provided in my blog post [The following Python libraries are required:.
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Pumping_Test_Interpretation_with_Python has a low active ecosystem.
It has 19 star(s) with 5 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
Pumping_Test_Interpretation_with_Python has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Pumping_Test_Interpretation_with_Python is current.
Quality
Pumping_Test_Interpretation_with_Python has 0 bugs and 0 code smells.
Security
Pumping_Test_Interpretation_with_Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Pumping_Test_Interpretation_with_Python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Pumping_Test_Interpretation_with_Python does not have a standard license declared.
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Without a license, all rights are reserved, and you cannot use the library in your applications.
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Pumping_Test_Interpretation_with_Python releases are not available. You will need to build from source code and install.
Pumping_Test_Interpretation_with_Python has no build file. You will be need to create the build yourself to build the component from source.
It has 227 lines of code, 26 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
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Pumping_Test_Interpretation_with_Python Key Features
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Pumping_Test_Interpretation_with_Python Examples and Code Snippets
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Install Pumping_Test_Interpretation_with_Python
You can download it from GitHub.
You can use Pumping_Test_Interpretation_with_Python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Pumping_Test_Interpretation_with_Python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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For any new features, suggestions and bugs create an issue on GitHub.
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