Name: Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion (en Inglés)
Price: 95010.00 CLP
Availability: InStock
Author: Lund Brady
ISBN: 9781538178249

portada Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion (en Inglés)

Formato

Libro Físico

Editorial

Rowman & Littlefield Publishers

Autor

Lund Brady

Año

2023

Idioma

Inglés

N° páginas

172

Encuadernación

Tapa Dura

ISBN13

9781538178249

Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion (en Inglés)

Lund Brady (Autor) · Rowman & Littlefield Publishers · Tapa Dura

Libro Nuevo

$ 95.010

$ 190.010

Ahorras: $ 95.000

50% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Martes 25 de Junio y el Miércoles 03 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Python for Information Professionals: How to Design Practical Applications to Capitalize on the Data Explosion (en Inglés)"

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