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25. 
Cover image for Model-based reinforcement learning : from data to actions with Python-based toolbox
Model-based reinforcement learning : from data to actions with Python-based toolbox
Author 
Farsi, Milad, author. Liu, Jun, author.
Preferred Shelf Number 
Q325.6
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119808602
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26. 
Cover image for Computational mathematics : an introduction to numerical analysis and scientific computing with Python
Computational mathematics : an introduction to numerical analysis and scientific computing with Python
Author 
Mitsotakis, Dimitrios, author.
Preferred Shelf Number 
QA297
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003287292
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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27. 
Cover image for INTRODUCTION TO R AND PYTHON FOR DATA ANALYSIS : a side-by-side approach.
INTRODUCTION TO R AND PYTHON FOR DATA ANALYSIS : a side-by-side approach.
Author 
Brown, Taylor R.
Preferred Shelf Number 
QA76.73 .R3
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003263241
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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28. 
Cover image for Raspberry Pi OS system administration with systemd and Python : a practical approach
Raspberry Pi OS system administration with systemd and Python : a practical approach
Author 
Koretsky, Robert, author.
Preferred Shelf Number 
QA76.8 .R15
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003455806
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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29. 
Cover image for Machine learning for factor investing : Python version
Machine learning for factor investing : Python version
Author 
Coqueret, Guillaume, author. Guida, Tony, 1979- author.
Preferred Shelf Number 
HG4515.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003121596
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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