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Python for Information Professionals

- How to Design Practical Applications to Capitalize on the Data Explosion

Python for Information Professionals

- How to Design Practical Applications to Capitalize on the Data Explosion
Tjek vores konkurrenters priser

Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion is an introduction to the Python programming language for library and information professionals with little or no prior experience. As opposed to the many Python books available today that focus on the language only from a general sense, this book is designed specifically for information professionals who are seeking to advance their career prospects or challenge themselves in new ways by acquiring skills within the rapidly expanding field of data science.

Readers of Python for Information Professionals will learn to:

    1. Develop Python applications for the retrieval, cleaning, and analysis of large datasets.
    2. Design applications to support traditional library functions and create new opportunities to maximize library value.
    3. Consider data security and privacy relevant to data analysis when using the Python language.

Tjek vores konkurrenters priser
Normalpris
kr 821
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion is an introduction to the Python programming language for library and information professionals with little or no prior experience. As opposed to the many Python books available today that focus on the language only from a general sense, this book is designed specifically for information professionals who are seeking to advance their career prospects or challenge themselves in new ways by acquiring skills within the rapidly expanding field of data science.

Readers of Python for Information Professionals will learn to:

    1. Develop Python applications for the retrieval, cleaning, and analysis of large datasets.
    2. Design applications to support traditional library functions and create new opportunities to maximize library value.
    3. Consider data security and privacy relevant to data analysis when using the Python language.

Produktdetaljer
Sprog: Engelsk
Sider: 172
ISBN-13: 9781538178249
Indbinding: Hardback
Udgave:
ISBN-10: 1538178249
Udg. Dato: 1 nov 2023
Længde: 17mm
Bredde: 237mm
Højde: 158mm
Forlag: Rowman & Littlefield
Oplagsdato: 1 nov 2023
Forfatter(e) Haihua Chen, Kossi Dodzi Bissadu, Brady Lund, Daniel Agbaji


Kategori Biblioteker og informationstjenester


ISBN-13 9781538178249


Sprog Engelsk


Indbinding Hardback


Sider 172


Udgave


Længde 17mm


Bredde 237mm


Højde 158mm


Udg. Dato 1 nov 2023


Oplagsdato 1 nov 2023


Forlag Rowman & Littlefield

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