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README.md

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@@ -13,7 +13,7 @@ The package contains two different implementations of the same library:
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* `pyodc` is a pure-python encoder and decoder for ODB\-2 data, which encodes data from, and decodes it into pandas data frames
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* `codc` is an implementation of the same API as `pyodc` that depends on the ECMWF `odc` library, and comes with _much_ better performance.
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Both libraries are be installed by running `pip install pyodc`, and since version 1.6.0, a pre-built wheel version of `odc` will be automatically installed so that `codc` can be used without any additional steps.
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Both libraries are installed by running `pip install pyodc`, and since version 1.6.0, a pre-built wheel version of `odc` will be automatically installed so that `codc` can be used without any additional steps.
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[Documentation] [Changelog]
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@@ -30,7 +30,7 @@ Both libraries are be installed by running `pip install pyodc`, and since versio
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* [pandoc]
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* [Jupyter Notebook]
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For `codc` to work, the `odc` library must be compiled and installed on the system and made available to Python. Typically this happens automatically as described above through the dependency on `odclib` which bundles a precompiled version of `odc` as a wheel. If some some reason this doesn't work, there are multiple other ways to make the library visible to pyodc:
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For `codc` to work, the `odc` library must be compiled and installed on the system and made available to Python. Typically this happens automatically as described above through the dependency on `odclib` which bundles a precompiled version of `odc` as a wheel. If this doesn't work, there are multiple other ways to make the library visible to pyodc:
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* It can be installed as a system library.
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* The installation prefix can be passed in the `odc_DIR` or `ODC_DIR` environment variables.
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* The library directory can be included in `LD_LIBRARY_PATH.

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