Advanced Guide to Python 3 Programming / Undergraduate Topics in Computer Science (PDF)

Name: Advanced Guide to Python 3 Programming / Undergraduate Topics in Computer Science
Brand: Springer International Publishing
SKU: 150916028
Price: 76.99 EUR
Availability: OnlineOnly

(Sprache: Englisch)

Autor: John Hunt

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Advanced Guide to Python 3 Programming / Undergraduate Topics in Computer Science, John Hunt

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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...

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Advanced Guide to Python 3 Programming 2^nd 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.

Autoren-Porträt von John Hunt

John Hunt is a technology trainer, consultant, mentor and author who has 35 years experience within the computing industry. He has worked extensively in Object Oriented and Functional technologies using language from Java through C# to Scala and of course Python. John was first involved with Python while working with a FinTech company in 2010. Since then he has been involved in numerous Python projects and has worked with a number of companies helping to develop their Python skills.