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| Section | Weight | Objectives |
|---|---|---|
| Advanced Object-Oriented Programming | 25% | - Metaclasses & Metaprogramming - Abstract Base Classes - Advanced Exceptions & Exception Chaining - Design Patterns - Multiple Inheritance & Mixins - Attribute Access & Descriptors - Shallow vs Deep Copy & Serialization |
| Network Programming | 18% | - TCP/IP & Socket Programming - JSON/XML Data Exchange - HTTP & Client-Server Communication - REST API Basics |
| GUI Programming | 20% | - Dialogs & Application Structure - Tkinter Basics & Widgets - Event-Driven Paradigm - Event Handling & Callbacks |
| File & Data Processing | 15% | - SQLite3 Database Operations - Logging & System Interaction - CSV & Configuration Files - XML & JSON Parsing |
| Modules, Packages & Advanced Features | 10% | - Functional Programming Tools - Decorators & Context Managers - Import System & Namespaces |
| Coding Conventions, Best Practices & Standardization | 12% | - Code Readability & Documentation - Pythonic Principles - PEP 1, PEP 8, PEP 20, PEP 257 |
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NEW QUESTION # 69
Analyze the following function and choose the statement that best describes it.
Answer: D
Explanation:
In the given code snippet, the repeat function is a decorator that takes an argument num_times specifying the number of times the decorated function should be called. The repeat function returns an inner function wrapper_repeat that takes a function func as an argument and returns another inner function wrapper that calls func num_times times.
The provided code snippet represents an example of a decorator that accepts its own arguments.
The @decorator_function syntax is used to apply the decorator_function to the some_function function.
The decorator_function takes an argument arg1 and defines an inner function wrapper_function that takes the original function func as its argument. The wrapper_function then returns the result of calling func , along with the arg1 argument passed to the decorator_function .
Here is an example of how to use this decorator with some_function :
@ decorator_function ( "argument 1" )
def some_function ():
return "Hello world"
When some_function is called, it will first be passed as an argument to the decorator_function .
The decorator_function then adds the string "argument 1" to the result of calling some_function() and returns the resulting string. In this case, the final output would be "Hello world argument 1" .
Reference:
Official Python documentation on Decorators: https://docs.python.org/3/glossary.html#term-decorator
NEW QUESTION # 70
What will happen if the mamwindow is too small to fit all its widgets?
Answer: D
Explanation:
Explanation
If the main window is too small to fit all its widgets, some widgets may be invisible. So, the correct answer is Option A.
When a window is not large enough to display all of its content, some widgets may be partially or completely hidden. The window will not automatically expand to fit all of its content, and no exception will be raised. The widgets will not be automatically scaled down to fit the window's size.
If the main window is too small to fit all its widgets, some of the widgets may not be visible or may be partially visible. This is because the main window has a fixed size, and if there are more widgets than can fit within that size, some of them will be outside the visible area of the window.
To avoid this issue, you can use layout managers such as grid, pack, or place to dynamically adjust the size and position of the widgets as the window changes size. This will ensure that all the widgets remain visible and properly arranged regardless of the size of the main window.
References:
* https://www.tkdocs.com/tutorial/widgets.html#managers
* https://www.geeksforgeeks.org/python-tkinter-widgets/
* https://anzeljg.github.io/rin2/book2/2405/docs/tkinter/introduction.html
NEW QUESTION # 71
Select a log that matches the following format:
'%(name)s[%(levelname)s][%(asctime)s] :%(message)s'
Answer: A
NEW QUESTION # 72
What does the term deserialization mean? Select the best answer.
Answer: B
Explanation:
Explanation
answer A. Deserialization is the process of converting data that has been serialized or encoded in a specific format, back into its original form as an object or a data structure in memory. In Python, this typically involves creating Python objects based on sequences of bytes that have been serialized using a protocol such as JSON, Pickle, or YAML.
For example, if you have a Python object my_obj and you want to serialize it to a JSON string, you might do something like this:
importjson
serialized_obj = json.dumps(my_obj)
To deserialize the JSON string back into a Python object, you would use the json.loads() method:
deserialized_obj = json.loads(serialized_obj)
This would convert the JSON string back into its original Python object form.
NEW QUESTION # 73
What is ElementTree?
Answer: B
Explanation:
Explanation
ElementTree is a Python built-in module that provides a simple and efficient API for parsing and creating XML data. It allows you to access and manipulate XML data in a very straightforward way, making it easy to write XML processing applications.
NEW QUESTION # 74
......
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