Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on May 1, 2015
PyData Dallas 2015
Reproducibility is one of the main principles of the scientific method to ensure that our analysis and results are reproducible by anyone. As Data Science projects grow in variety (applications, libraries, standalone analysis...) and complexity (DBs, computing engines, multiple programming languages, backwards incompatibilities...) we need solutions to handle reproducibility in every case. In this talk, we'll explore how Conda, a cross-platform package manager written in Python can make our lives simpler and our Data Science projects easily shareable and reproducible. View slides from the presentation here: http://chdoig.github.io/pydata2015-da...