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Added google colab exercises notebook to README
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README.rst

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@@ -19,7 +19,7 @@ Histograms and other aggregators may also be converted into CUDA code for inclus
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PyCUDA is available, they can also be filled from Numpy arrays by JIT-compiling the CUDA code.
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This Python implementation of histogrammar been tested to guarantee compatibility with its Scala implementation.
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Latest Python release: v1.0.25 (April 2021).
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Latest Python release: v1.0.25 (April 2022).
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Announcements
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=============
@@ -50,6 +50,8 @@ Example notebooks
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- |notebook_basic_colab|
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* - `Detailed example (featuring configuration, Apache Spark and more) <https://nbviewer.jupyter.org/github/histogrammar/histogrammar-python/blob/master/histogrammar/notebooks/histogrammar_tutorial_advanced.ipynb>`_
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- |notebook_advanced_colab|
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* - `Exercises <https://nbviewer.jupyter.org/github/histogrammar/histogrammar-python/blob/master/histogrammar/notebooks/histogrammar_tutorial_exercises.ipynb>`_
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- |notebook_exercises_colab|
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Documentation
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=============
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.. |notebook_advanced_colab| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open in Colab
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:target: https://colab.research.google.com/github/histogrammar/histogrammar-python/blob/master/histogrammar/notebooks/histogrammar_tutorial_advanced.ipynb
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.. |notebook_exercises_colab| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open in Colab
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:target: https://colab.research.google.com/github/histogrammar/histogrammar-python/blob/master/histogrammar/notebooks/histogrammar_tutorial_exercises.ipynb

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