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Python Programming for Data Analysis

BuchGebunden
263 Seiten
Englisch
Springererschienen am05.05.20211st ed. 2021
The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.mehr
Verfügbare Formate
BuchGebunden
EUR90,94
BuchKartoniert, Paperback
EUR58,84
E-BookPDF1 - PDF WatermarkE-Book
EUR58,84

Produkt

KlappentextThe author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
Details
ISBN/GTIN978-3-030-68951-3
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum05.05.2021
Auflage1st ed. 2021
Seiten263 Seiten
SpracheEnglisch
IllustrationenXII, 263 p. 134 illus., 123 illus. in color.
Artikel-Nr.49309909

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Basic Language.- Basic Data Structures.- Basic Programming.- File Input/Output.- Dealing with Errors.- Power Python Features to Master.- Advanced Language Features.- Using modules.- Object oriented programming.- Debugging from Python.- Using Numpy - Numerical Arrays in Python.- Data Visualization Using Python.- Bokeh for Web-based Visualization.- Getting Started with Pandas.- Some Useful Python-Fu.- Conclusion.mehr

Schlagworte

Autor

Dr. José Unpingco completed his PhD from the University of California, San Diego (UCSD) in 1997 and has since worked in industry as an engineer, consultant, and instructor on a wide variety of advanced data science topics, with deep experience in machine learning. He was the onsite technical director for large-scale Signal and Image Processing for the Department of Defense (DoD) where he also spearheaded the DoD-wide adoption of scientific Python. Dr. Unpingco is currently the Senior Director for Data Science for the Gary and Mary West Health Institute, a non-profit Medical Research Organization in San Diego, California. He is also a Data Science lecturer at UCSD for undergraduate and graduate degree programs and the author of Python for Signal Processing, and Python for Probability, Statistics, and Machine Learning.