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1. 
Cover image for Learning Python
Learning Python
Author 
Lutz, Mark.
Preferred Shelf Number 
QA76.73.P98 L87 2013
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2. 
Cover image for Python machine learning
Python machine learning
Author 
Lee, Wei-Meng, author.
Preferred Shelf Number 
QA76.73 .P98 L44 2019 EB
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119557500
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3. 
Cover image for Python : a practical learning approach
Python : a practical learning approach
Author 
Murugesh, T. S., author. Vasudevan, Shriram K., author. Pulari, Sini Raj, author.
Preferred Shelf Number 
QA76.73 .P98
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781032712673
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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4. 
Cover image for Learning professional Python. Volume 2, Advanced
Learning professional Python. Volume 2, Advanced
Author 
Bhimavarapu, Usharani, author. Hemanth, Jude D. Karunya University, India Hemanth, Jude, author.
Preferred Shelf Number 
QA76.73 .P98
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003462392
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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5. 
Cover image for Inside deep learning : math, algorithms, models
Inside deep learning : math, algorithms, models
Author 
Raff, Edward, author.
Preferred Shelf Number 
Q325.73 R34 2022
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6. 
Cover image for Learning scientific programming with Python
Learning scientific programming with Python
Author 
Hill, Christian, 1974- author.
Preferred Shelf Number 
Q183.9 .H58 2015
Electronic Access 
https://doi.org/10.1017/CBO9781139871754
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7. 
Cover image for Learning professional Python. Volume 1, The basics
Learning professional Python. Volume 1, The basics
Author 
Bhimavarapu, Usharani, author. Hemanth, Jude, author.
Preferred Shelf Number 
QA76.73 .P98
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003414322
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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8. 
Cover image for Deep learning and its applications using Python
Deep learning and its applications using Python
Author 
Basha, Niha K. editor Bhatia, Surbhi, editor Kumar, Abhishek, editor Mashat, Arwa, editor.
Preferred Shelf Number 
Q325.73 .D44 2023
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394167791
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9. 
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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10. 
Cover image for The object-oriented approach to problem solving and machine learning with Python
The object-oriented approach to problem solving and machine learning with Python
Author 
Mathew, Sujith Samuel, author. Kuhail, Mohammad Amin, 1982- author. Hadid, Maha, author. Farooq, Shahbano, author.
Preferred Shelf Number 
QA76.64
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781032668321
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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11. 
Cover image for MACHINE LEARNING IN FARM ANIMAL BEHAVIOR USING PYTHON
MACHINE LEARNING IN FARM ANIMAL BEHAVIOR USING PYTHON
Author 
Kleanthous, Natasa. Hussain, Abir.
Preferred Shelf Number 
SF756.7
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781032628738
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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12. 
Cover image for Python for Experimental Psychologists A Fun Way of Learning How to Code Your Experiments.
Python for Experimental Psychologists A Fun Way of Learning How to Code Your Experiments.
Author 
Dalmaijer, Edwin S., 1990-
Preferred Shelf Number 
BF39.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003174332
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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