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#Python

Python

@taciteloquence has already mentioned Python for data analysis and visualization, but let me add one more angle: automation.

Simulation nowadays often means high-throughput, automated simulation. Not only for large scale projects, like Materials Project but also individual projects where large amounts of data generated for screening properties, screeing different geometries, generating data files for machine learning, ABC approaches etc.. For building workflows (eg with automate) or examining the generated databases, Python is good language.

#Python

@taciteloquence has already mentioned Python for data analysis and visualization, but let me add one more angle: automation.

Simulation nowadays often means high-throughput, automated simulation. Not only for large scale projects, like Materials Project but also individual projects where large amounts of data generated for screening properties, screeing different geometries, generating data files for machine learning, ABC approaches etc.. For building workflows (eg with automate) or examining the generated databases, Python is good language.

Python

@taciteloquence has already mentioned Python for data analysis and visualization, but let me add one more angle: automation.

Simulation nowadays often means high-throughput, automated simulation. Not only for large scale projects, like Materials Project but also individual projects where large amounts of data generated for screening properties, screeing different geometries, generating data files for machine learning, ABC approaches etc.. For building workflows (eg with automate) or examining the generated databases, Python is good language.

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Nike Dattani - No Free Time
Nike Dattani - No Free Time
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#Python

@taciteloquence has already mentioned Python for data analysis and visualization, but let me add one more angle: automation.

Simulation nowadays often means high-throughput, automated simulation. Not only for large scale projects, like Materials Project but also individual projects where large amounts of data generated for screening properties, screeing different geometries, generating data files for machine learning, ABC approaches etc.. For building workflows (eg with automate) or examining the generated databases, Python is good language.

@taciteloquence has already mentioned Python for data analysis and visualization, but let me add one more angle: automation.

Simulation nowadays often means high-throughput, automated simulation. Not only for large scale projects, like Materials Project but also individual projects where large amounts of data generated for screening properties, screeing different geometries, generating data files for machine learning, ABC approaches etc.. For building workflows (eg with automate) or examining the generated databases, Python is good language.

#Python

@taciteloquence has already mentioned Python for data analysis and visualization, but let me add one more angle: automation.

Simulation nowadays often means high-throughput, automated simulation. Not only for large scale projects, like Materials Project but also individual projects where large amounts of data generated for screening properties, screeing different geometries, generating data files for machine learning, ABC approaches etc.. For building workflows (eg with automate) or examining the generated databases, Python is good language.

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Greg
Greg
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@taciteloquence has already mentioned Python for data analysis and visualization, but let me add one more angle: automation.

Simulation nowadays often means high-throughput, automated simulation. Not only for large scale projects, like Materials Project but also individual projects where large amounts of data generated for screening properties, screeing different geometries, generating data files for machine learning, ABC approaches etc.. For building workflows (eg with automate) or examining the generated databases, Python is good language.