{"action":"opened","issue":{"url":"https://api.github.com/repos/mverzilli/crystalla/issues/16","repository_url":"https://api.github.com/repos/mverzilli/crystalla","labels_url":"https://api.github.com/repos/mverzilli/crystalla/issues/16/labels{/name}","comments_url":"https://api.github.com/repos/mverzilli/crystalla/issues/16/comments","events_url":"https://api.github.com/repos/mverzilli/crystalla/issues/16/events","html_url":"https://github.com/mverzilli/crystalla/issues/16","id":317019812,"number":16,"title":"Load/Save to .npy files","user":{"login":"sherjilozair","id":677316,"avatar_url":"https://avatars0.githubusercontent.com/u/677316?v=4","gravatar_id":"","url":"https://api.github.com/users/sherjilozair","html_url":"https://github.com/sherjilozair","followers_url":"https://api.github.com/users/sherjilozair/followers","following_url":"https://api.github.com/users/sherjilozair/following{/other_user}","gists_url":"https://api.github.com/users/sherjilozair/gists{/gist_id}","starred_url":"https://api.github.com/users/sherjilozair/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sherjilozair/subscriptions","organizations_url":"https://api.github.com/users/sherjilozair/orgs","repos_url":"https://api.github.com/users/sherjilozair/repos","events_url":"https://api.github.com/users/sherjilozair/events{/privacy}","received_events_url":"https://api.github.com/users/sherjilozair/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-04-23T23:38:54Z","updated_at":"2018-04-23T23:38:54Z","closed_at":null,"author_association":"NONE","body":"The [.npy file format](https://github.com/numpy/numpy/blob/master/numpy/lib/format.py#L605) has become standard to serialize arrays, so I think crystalla could really use it. It will open up possibility of interoperability with other systems such as tensorflow/python. WDYT?\r\n\r\n"}}
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