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Author: Mike P. Leon Publisher: ISBN: 9781642049190 Category : Languages : en Pages : 44
Book Description
This is a story about one Tiki Miki who plays his ukulele differently than the others, and how his different tune takes him somewhere extraordinary.
Author: Mike P. Leon Publisher: ISBN: 9781642049190 Category : Languages : en Pages : 44
Book Description
This is a story about one Tiki Miki who plays his ukulele differently than the others, and how his different tune takes him somewhere extraordinary.
Author: Anne Kapulani Landgraf Publisher: University of Hawaii Press ISBN: 0824815785 Category : Photography Languages : en Pages : 184
Book Description
For the first time, a native Hawaiian photographer has combined her photographs with traditional Hawaiian references taken from native historians, lending the volume a cultural context drawn from a period before the arrival of foreigners in Hawaii.
Author: Mary Kawena Pukui Publisher: ISBN: 9780961673826 Category : Social Science Languages : en Pages : 0
Book Description
Volume one gives an indepth discussion of major Hawaiian culture concepts, providing insights into both their ancient and modern significances and volume two traces the ancient Hawaiian social customs practices and beliefs from birth to old age.
Author: Wes McKinney Publisher: "O'Reilly Media, Inc." ISBN: 1491957611 Category : Computers Languages : en Pages : 676
Book Description
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Author: Mike P. Leon
Author: Mike P. Leon
Author: Kōmike Hua‘olelo
Author: Henry Pratt Judd
Author: Anne Kapulani Landgraf
Author: Edward Steere
Author: Edward Tregear
Author: Mary Kawena Pukui
Author: Lorrin Andrews
Author: 
Author: Wes McKinney