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Advanced Guide to Python 3 Programming

2nd ed. 2023

Springer

ISBN 978-3-031-40335-4

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74,89 €

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auch verfügbar als eBook (PDF) für 74,89 €

Bibliografische Daten

Fachbuch

Buch. Softcover

2nd ed. 2023. 2023

27 s/w-Abbildungen, 178 Farbabbildungen, Bibliographien.

In englischer Sprache

Umfang: xxx, 658 S.

Format (B x L): 15,5 x 23,5 cm

Gewicht: 1274

Verlag: Springer

ISBN: 978-3-031-40335-4

Weiterführende bibliografische Daten

Das Werk ist Teil der Reihe: Undergraduate Topics in Computer Science

auch verfügbar als eBook (PDF) für 74,89 €

Produktbeschreibung

Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.

Autorinnen und Autoren

Kundeninformationen

Covers a wide range of graphic related topics including computer art, graphical user interfaces, and games Presents in detail, concurrency and parallelism in Python including AsyncIO and reactive programming Includes a new section on data analytics and machine learning using Pandas and SciKitLearn

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