Difference between revisions of "Kaggle Kernels"
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* [http://www.kaggle.com/kernels Kernels | Kaggle] | * [http://www.kaggle.com/kernels Kernels | Kaggle] | ||
| − | * [[Jupyter]] | + | * [[Jupyter Notebooks]] |
Kernels are a combination of environment, input, code, and output - all stored together for every version you create. By storing all of these attributes together Kernels are fundamentally reproducible, easy to share, and easy to learn from or fork. Kernels contain both the code needed for an analysis, and the analysis itself. It's the core of your work, what you need to make it reproducible, to make it grow, and to invite collaboration. | Kernels are a combination of environment, input, code, and output - all stored together for every version you create. By storing all of these attributes together Kernels are fundamentally reproducible, easy to share, and easy to learn from or fork. Kernels contain both the code needed for an analysis, and the analysis itself. It's the core of your work, what you need to make it reproducible, to make it grow, and to invite collaboration. | ||
Revision as of 18:48, 22 May 2018
Kernels are a combination of environment, input, code, and output - all stored together for every version you create. By storing all of these attributes together Kernels are fundamentally reproducible, easy to share, and easy to learn from or fork. Kernels contain both the code needed for an analysis, and the analysis itself. It's the core of your work, what you need to make it reproducible, to make it grow, and to invite collaboration.
