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| author | Stefan van der Walt <stefanv@berkeley.edu> | 2018-07-24 23:40:04 -0700 |
|---|---|---|
| committer | Stefan van der Walt <stefanv@berkeley.edu> | 2018-07-24 23:40:04 -0700 |
| commit | 3382382eb35bc1de48198a7858ccad4d952432f3 (patch) | |
| tree | fd5a0c6f28cc1fed40b2318ad8cf45a09124b792 /doc | |
| parent | cdc472813463d1f6ec2b1557d5a59c21c87c06e0 (diff) | |
| download | numpy-3382382eb35bc1de48198a7858ccad4d952432f3.tar.gz | |
Add memory mapped arrays to scope
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/neps/scope.rst | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/doc/neps/scope.rst b/doc/neps/scope.rst index 2a3b6abe0..20dc0f9b8 100644 --- a/doc/neps/scope.rst +++ b/doc/neps/scope.rst @@ -22,6 +22,7 @@ Here, we describe aspects of N-d array computation that are within scope for Num - Masked arrays - Structured arrays + - Memory mapped arrays - Historically, NumPy has included the following **basic functionality in support of scientific computation**. We intend to keep supporting |