Python Data Science Handbook: Essential Tools for working with Data
| Autor | Jake VanderPlas |
| 9264763530 | |
| Idioma | Germany - English |
| Terminal correspondiente | Android|iPhone|iPad|PC |
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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
Python Data Science Handbook: Essential Tools for working with Data Jake VanderPlas. 5,0 von 5 Sternen 5. Taschenbuch. 44,95 € Introduction to Computation and Programming Using Python (Mit Press) John V. Guttag. Taschenbuch. 37,99 € Introduction to Machine Learning with Python: A Guide for Data Scientists Sarah Guido. Taschenbuch. 36,53 € Learning Python Mark Lutz. 4,1 von 5 Sternen 12 ...
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Python Data Science Handbook: Essential Tools for working with Data von Jake VanderPlas Taschenbuch, 31. Dezember 2016 Verkaufsrang: 735 Gewöhnlich versandfertig in 24 Stunden Preis: € 44,31 (Bücher Versandkostenfrei nach D, CH und A, bei Drittanbietern gelten deren Versandbedingungen) Essential Tools for working with Data Broschiertes Buch Working scientists and data crunchers familiar ...
Python Data Science Handbook: Essential Tools for working with Data von Jake VanderPlas Taschenbuch, 31. Dezember 2016 Verkaufsrang: 8847 Gewöhnlich versandfertig in 24 Stunden Preis: € 43,69 (Bücher Versandkostenfrei nach D, CH und A, bei Drittanbietern gelten deren Versandbedingungen) Essential Tools for working with Data Broschiertes Buch Working scientists and data crunchers familiar ...
Jake VanderPlas Data Science mit Python Das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn Übersetzung aus dem Englischen
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To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research n Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods.
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Hadley Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in Statistics at Rice University. He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualization.
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Kozyrkov, C (2018). What Great Data Analysts Do — and Why Every Organization Needs Them. Harvard Business Review (December). VanderPlas, J. (2016). Python data science handbook: essential tools for working with data. O'Reilly Media, Inc. Weitere Literatur finden Sie in der HdM-Bibliothek.
Abstract. Using three recent data sets (ALLBUS 2016, GLES 2016, ESS 2016), we show that the affinity for the AfD is a socially stratified phenomenon. Actors with minimal education and low income, the unemployed, workers, and actors who feel deprived in socioeconomic terms have a stronger tendency towards supporting the AfD than those actors with a higher socioeconomic status.
The Evidence for Policy and Practice Information and Co-ordinating Centre (EPPI-Centre, Informations- und Koordinationszentrum für Evidenz in Politik und Praxis) gehört zur Social Science Research Unit (Forschungsstelle für Sozialwissenschaften) am Institute of Education (Institut für Erziehungswissenschaften) der Universität London.
