Advanced Guide to Python 3 Programming
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...
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 2nd ed. 2023 |
| Series: | Undergraduate Topics in Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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