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@@ -23,6 +23,14 @@ At last it finishes off with tutorial "How to access MySQL db using python"
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`Python for beginners <http://thepythonguru.com/>`_
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Learn Python for Data Science Interactively
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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If you prefer an online interactive environment to learn Python for Data Science, `this free python tutorial by DataCamp <https://www.datacamp.com/courses/intro-to-python-for-data-science?tap_a=5644-dce66f&tap_s=116411-750171>`_ is a great way to get started. If you're already somewhat advanced and interested in machine learning, check out this `course on Supervised Learning with scikit-learn <https://www.datacamp.com/courses/supervised-learning-with-scikit-learn?tap_a=5644-dce66f&tap_s=116411-750171>`_, by one the core developers of scikit-learn.
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`Python for data science <http://datacamp.com/?tap_a=5644-dce66f&tap_s=116411-750171>`_
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Learn Python Interactive Tutorial
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@@ -39,6 +47,8 @@ If you want a more traditional book, *Python For You and Me* is an excellent
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resource for learning all aspects of the language.
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`Python for You and Me <https://pymbook.readthedocs.io/>`_
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`Learn Python Interactively with DataCamp! <https://datacamp.com/>`_
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Online Python Tutor
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~~~~~~~~~~~~~~~~~~~
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@@ -103,3 +103,5 @@ using Python or we can save it to a file and share it with the world.
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Some more cool ideas to think about are modifying this script to iterate
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through the rest of the pages of this example dataset, or rewriting this
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application to use threads for improved speed.
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If you want to learn how to import data using python - this `DataCamp course on Importing Data <https://www.datacamp.com/courses/importing-data-in-r-part-1?tap_a=5644-dce66f&tap_s=116411-750171>`_ is a great place to start.
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