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# Code for Practical Time Series Analysis
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### Welcome. This git repository contains some (but not all) code that you will
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### encounter in Practical Time Series Analysis. Over time this repository will
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### expand to cover more of the material from the book and also to include extra
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### examples.
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Welcome. This git repository contains some (but not all) code that you will encounter in Practical Time Series Analysis. Over time this repository will expand to cover more of the material from the book and also to include extra examples.
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### Comments and corrections are welcome. Please either submit a pull request
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### or contact me via email at author's first name [DOT] A (my middle initial)
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### [DOT] author's last name at gmail.
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Comments and corrections are welcome. Please either submit a pull request or contact me via email at author's first name [DOT] A (my middle initial) [DOT] author's last name at gmail.
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### Thanks for taking a look and thanks for your patience as I build out
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### this repo. ~ Aileen
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I would also mention that much of the work on this book relates to earlier tutorials I have given. I link below to some YouTube videos showing these tutorials:
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General tutorials:
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[Time Series Analysis with Python (SciPy 2016) (4 hours)]: https://www.youtube.com/watch?v=JNfxr4BQrLk&t=10138s
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[Time Series Analysis with Python (PyCon 2017) (3 hours)]: https://www.youtube.com/watch?v=zmfe2RaX-14&t=8056s
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[Modern Time Series Analysis (SciPy 2019) (4 hours)]: https://www.youtube.com/watch?v=v5ijNXvlC5A&t=3813s
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Relevant special interest tutorials:
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[Irregular Time Series and How to Whip Them (PyData London 2016) (29 minutes)]: https://www.youtube.com/watch?v=E4NMZyfao2c
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[NoSQL Python: making data frames work for you in a non-rectangular world (PyData Amsterdam 2016) (35 minutes)]: https://www.youtube.com/watch?v=QYtE-Irbd7E
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Thanks for taking a look and thanks for your patience as I build out this repo. ~ Aileen

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