Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Juli 2024
Genre:	EDV / Informatik
	dataanalysis / DataScience / datavisualization / DataWrangling / machinelearning / python / Statistics
ISBN:	9789811995910
EAN-Code:	9789811995910
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 279 mm / B 210 mm / D 20 mm
Gewicht:	877 gr
Seiten:	360
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts. Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for data science. In addition, it includes suggestions for further reading. This textbook provides an open-source community via GitHub, and the course materials are licensed for free use under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). More teaching materials including Codes, Datasets, Slides, Syllabus can be found at https://github.com/LemenChao/PythonDataScience