Buch

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Übersicht

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Verlag	:	Springer International Publishing
Buchreihe	:	Undergraduate Topics in Computer Science
Sprache	:	Englisch
Erschienen	:	02. 10. 2023
Seiten	:	658
Einband	:	Kartoniert
Höhe	:	235 mm
Breite	:	155 mm
Gewicht	:	1274 g
ISBN	:	9783031403354
Sprache	:	Englisch
Illustrationen	:	XXX, 658 p. 205 illus., 178 illus. in color.

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Autorinformation

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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.

Inhaltsverzeichnis

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Introduction.- Part 1: Advanced language features.- Python type hints.- Class slots.- Weak references.- Data classes.- Structural pattern matching.- Working with pprint.- Shallow v deep copy.- The __init__versus __new__ and __call__.- Python metaclasses and meta programming.- Part 2: Computer graphics and GUIs.- Introduction to computer graphics.- Python turtle graphics.- Computer generated art.- Introduction to Matplotlib.- Graphing with Matplotlib pyplot.- Graphical user interfaces.- Tkinter GUI library.- Events in Tkinter user interfaces.- PyDraw Tkinter example application.- Part 3: Computer graphics and GUIs.- Introduction to games programming.- Building games with pygame.- StarshipMeteors pygame.- Part 4: Testing.- Introduction to testing.- PyTest testing framework.- Mocking for testing.- Part 5: File Input / Output.- Introduction to files, paths and IO.- Reading and writing files.- Stream IO.- Working with CSV files.- Working with excel files.- Regular expressions in Python.- Part 6: Database access.- Introduction to databases.- Python DB-API.- PyMySQL module.- Part 7: Logging.- Introduction to logging.- Logging in Python.- Advanced logging.- Part 8: Concurrency and parallelism.- Introduction to concurrency and parallelism.- Threading.- MultiProcessing.- Inter thread / Process synchronisation.- Futures.- Concurrency with AsyncIO.- Performance monitoring and profiling.- Part 9: Reactive programming.- Reactive programming introduction.- RxPy observables, observers and subjects.- RxPy operators.- Part 10: Network programming.- Introduction to sockets and web services.- Sockets in Python.- Web services in Python.- Flask web services.- Flask bookshop web service.- Part 11: Data analytics and machine learning.- Introduction to data science.- Pandas and data analytics.- Alternatives to pandas.- Machine learning in Python.- Pip and Conda virtual environments.

Deine Buchhandlung

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