electripy
PyPSA
| electripy | PyPSA | |
|---|---|---|
| 6 | 2 | |
| 29 | 1,098 | |
| - | 2.3% | |
| 4.5 | 9.5 | |
| 10 months ago | 5 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
electripy
- Simulating the electric field of point charge distributions with Python
- ElectriPy: learn electrostatics by playing around with electrons and protons.
- ElectriPy 0.0.4: aprender electrostática jugando con electrones y protones.
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ElectriPy 0.0.4: visualize the electric field and electric forces of a charge distribution.
The installation is straight forward and the controls are super easy and intuitive. You can get more information at ElectriPy README.md. I have also added a document explaining the physics used for making this project, you can check it out HERE.
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ElectriPy: play around with electrons and protons and visualize their electric forces.
You can see a detailed explanation of how to install and use ElectriPy on GitHub.
- ElectriPy: visualize the electric field of a point charge network.
PyPSA
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Young Australians Just Won a Human Rights Case Against an Enormous Coal Mine
This study about the European grid quantifies all this. If you want to go deeper into how they get these numbers, you'll need to read about PyPSA or other grid modelling tools. It's all open source and well documented.
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Solar panels set to be mandatory on all new buildings under EU plan New proposal aims to rapidly reduce dependence on Russian fossil and supercharge Europe’s transition to green energy
You need to know how energy models work, and I invite you to read about them. Check out PyPSA for instance (paper, Source code)). That would answer both points above and more. For instance, you need to know that they are based on real weather and consumption data, so they account for natural variability. They know the cost of producing synfuels, and they optimize around it to find the cheapest system overall given the input technologies and assumptions. These calculations would be impossible to do by hand.
What are some alternatives?
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awesome-sustainability-jobs - Dev jobs in the sustainability sector - be part of the solution, not the problem
ElectricPy - Electrical Engineering Formulas in Python
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