Produktbild: Advanced Guide to Python 3 Programming

Advanced Guide to Python 3 Programming

Fr. 106.00

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.10.2023

Abbildungen

XXX, 658 p. 205 illus., 178 illus. in color.

Verlag

Springer

Seitenzahl

658

Maße (L/B/H)

23.5/15.5/3.5 cm

Gewicht

1150 g

Auflage

Second Edition 2023

Sprache

Englisch

ISBN

978-3-031-40335-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.10.2023

Abbildungen

XXX, 658 p. 205 illus., 178 illus. in color.

Verlag

Springer

Seitenzahl

658

Maße (L/B/H)

23.5/15.5/3.5 cm

Gewicht

1150 g

Auflage

Second Edition 2023

Sprache

Englisch

ISBN

978-3-031-40335-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advanced Guide to Python 3 Programming
  • 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.