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  1. 1
    Beautiful visualization edited by Julie Steele and Noah Iliinsky.
    Published 2010
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  2. 2
    JavaScript the good parts / by Douglas Crockford.
    by Crockford, Douglas
    Published 2008
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  3. 3
    HTML and XHTML pocket reference Jennifer Niederst Robbins.
    by Niederst Robbins, Jennifer
    Published 2010
    Edition: 4th ed.
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  4. 4
    Search patterns Peter Morville and Jeffery Callender.
    by Morville, Peter
    Published 2010
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  5. 5
    Database nation the death of privacy in the 21st century / Simson Garfinkel.
    by Garfinkel, Simson
    Published 2000
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  6. 6
    Design leadership how top design leaders build and grow successful organizations / Richard Banfield.
    by Banfield, Richard
    Published 2016
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  7. 7
    Org design for design orgs building and managing in-house design teams / Peter Merholz and Kristin Skinner.
    by Merholz, Peter, Skinner, Kristin
    Published 2016
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  8. 8
    Data science from scratch first principles with Python / Joel Grus.
    by Grus, Joel
    Published 2019
    Edition: Second edition.
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  9. 9
    Augmented human how technology is shaping the new reality / Helen Papagiannis.
    by Papagiannis, Helen
    Published 2017
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  10. 10
    Python for data analysis data wrangling with pandas, NumPy, and IPython / Wes McKinney.
    by McKinney, Wes
    Published 2018
    Edition: Second edition.
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  11. 11
    Python for finance mastering data-driven finance / Yves Hilpisch.
    by Hilpisch, Yves
    Published 2019
    Edition: Second edition.
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  12. 12
    TINYML machine learning with tensorflow on arduino, and ultra-low power micro-controllers / Pete Warden and Daniel Situnayake.
    by Warden, Pete, Situnayake, Daniel
    Published 2020
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  13. 13
    Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems / Aurélien Géron.
    by Géron, Aurélien
    Published 2019
    Edition: Second edition.
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  14. 14
    The architecture of privacy Courtney Bowman, Ari Gesher, John K. Grant, and Daniel Slate ; edited by Elissa Lerner.
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  15. 15
    Text mining with R a tidy approach / Julia Silge and David Robinson.
    by Silge, Julia, Robinson, David
    Published 2017
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  16. 16
    Introduction to machine learning with Python a guide for data scientists / Andreas C. Müller and Sarah Guido.
    by Müller, Andreas C., Guido, Sarah
    Published 2017
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  17. 17
    Mastering bitcoin programming the Open Blockchain / Andreas M. Antonopoulos.
    by Antonopoulos, Andreas M.
    Published 2017
    Edition: 2nd
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  18. 18
    Graph algorithms practical examples in Apache Spark and Neo4j / Mark Needham and Amy E. Hodler.
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  19. 19
    R for data science import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund.
    by Wickham, Hadley, Grolemund, Garrett
    Published 2017
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  20. 20
    R cookbook Paul Teetor.
    by Teetor, Paul, 1954-
    Published 2011
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