@@ -20,29 +20,34 @@ Highlights
2020Status
2121------
2222
23- Zarr is still in an early, experimental phase of development. Feedback and bug
23+ Zarr is still in an early phase of development. Feedback and bug
2424reports are very welcome, please get in touch via the `GitHub issue
2525tracker <https://github.com/alimanfoo/zarr/issues> `_.
2626
2727Installation
2828------------
2929
30- Install from PyPI::
30+ Zarr depends on NumPy. It is generally best to `install NumPy
31+ <http://docs.scipy.org/doc/numpy/user/install.html> `_ first using
32+ whatever method is most appropriate for you operating system and
33+ Python distribution.
34+
35+ Install Zarr from PyPI::
3136
3237 $ pip install zarr
3338
34- Alternatively, install via conda::
39+ Alternatively, install Zarr via conda::
3540
3641 $ conda install -c conda-forge zarr
3742
38- Please note that Zarr includes a C extension providing integration
39- with the Blosc library. Installing via conda or installing on Windows
40- via pip will install a pre-compiled binary distribution. However, if
41- you have a newer CPU that supports the AVX2 instruction set (e.g.,
42- Intel Haswell, Broadwell or Skylake) then compiling from source is
43- preferable, as the Blosc library includes some optimisations for those
44- architectures ::
45-
43+ Zarr includes a C extension providing integration with the Blosc _
44+ library. Installing on any operating system via conda or installing on
45+ Windows via pip will install a pre-compiled binary
46+ distribution. However, if you have a newer CPU that supports the AVX2
47+ instruction set (e.g., Intel Haswell, Broadwell or Skylake) then
48+ compiling from source is preferable as the Blosc library includes some
49+ optimisations for AVX2 ::
50+
4651 $ pip install --no-binary=:all: zarr
4752
4853To work with Zarr source code in development, install from GitHub::
@@ -51,7 +56,12 @@ To work with Zarr source code in development, install from GitHub::
5156 $ cd zarr
5257 $ python setup.py install
5358
59+ To verify that Zarr has been fully installed (including the Blosc
60+ extension) run the test suite::
5461
62+ $ pip install nose zict heapdict
63+ $ python -m nose -v zarr
64+
5565Contents
5666--------
5767
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