Table of contents
Table of contents
At the end of April 2017, deepsense.ai released a new version of Neptune, the DevOps platform for data scientists. Neptune 1.5 introduces a range of new features and improvements, including support for Python 3, simplification of Neptune CLI, offline execution, compact view, improved channels and charts, and a number of improvements in the user experience.
Python 3.5 Support
One of the most upvoted tickets on our feedback channel has been requests to add support for Python 3. Well, we put your request on our roadmap and now, using version 1.5, you can run Neptune experiments using both Python 2.7 and 3.5. We encourage you to stay active in our feedback forum and vote for features you need in your data science work. This is how you will influence where Neptune goes and how it develops – and ultimately make it more convenient for you.Simplification of Neptune CLI
Until now, Neptune CLI’s commands were long and complex. With version 1.5, however, convenience has taken center stage as we’ve introduced a host of improvements and simplifications. Click over and have a look at the simplified CLI commands and configuration file in our documentation. To see how this change could work for you, compare the commands for running our “Flower Species Prediction” example. In version 1.4:neptune run flower-species-prediction/main.py --config flower-species-prediction/config.yaml --storage-url /tmp/neptune-iris --paths-to-dump flower-species-predictionIn version 1.5:
neptune run