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| Section | Weight | Objectives |
|---|---|---|
| Advanced Object-Oriented Programming | 25% | - Metaclasses & Metaprogramming - Advanced Exceptions & Exception Chaining - Shallow vs Deep Copy & Serialization - Multiple Inheritance & Mixins - Attribute Access & Descriptors - Design Patterns - Abstract Base Classes |
| Coding Conventions, Best Practices & Standardization | 12% | - PEP 1, PEP 8, PEP 20, PEP 257 - Pythonic Principles - Code Readability & Documentation |
| GUI Programming | 20% | - Tkinter Basics & Widgets - Event-Driven Paradigm - Event Handling & Callbacks - Dialogs & Application Structure |
| Modules, Packages & Advanced Features | 10% | - Decorators & Context Managers - Import System & Namespaces - Functional Programming Tools |
| Network Programming | 18% | - JSON/XML Data Exchange - HTTP & Client-Server Communication - TCP/IP & Socket Programming - REST API Basics |
| File & Data Processing | 15% | - XML & JSON Parsing - Logging & System Interaction - CSV & Configuration Files - SQLite3 Database Operations |
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NEW QUESTION # 68
What is ElementTree?
Answer: B
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.
Reference: Official Python documentation on ElementTree: https://docs.python.org/3/library/xml.etree.
elementtree.html
This statement is true because ElementTree is a module in the standard library of Python that provides an API for working with XML data. The module supports parsing XML from strings or files, creating XML trees from scratch or modifying existing ones, searching and iterating over XML elements, and writing XML data to strings or files.
NEW QUESTION # 69
What does the term deserialization mean? Select the best answer.
Answer: A
Explanation:
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:
import json
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.
Reference:
Official Python Documentation on Serialization: https://docs.python.org/3/library/pickle.html#module-pickle Real Python Tutorial on Serialization and Deserialization in Python: https://realpython.com/python- serialization/ Deserialization is the process of converting a sequence of bytes, such as a file or a network message, into a Python object. This is the opposite of serialization, which is the process of converting a Python object into a sequence of bytes for storage or transmission.
NEW QUESTION # 70
Select the true statements about the sqirte3 module. (Select two answers.)
Answer: A,D
Explanation:
Explanation
The sqlite3 module in python provides an interface compliant to the DB-API 2.0. Thus, it follows a standard performance metric that allows for consistency in database programming with python.
The special name 'memory' is used to create a database in RAM using the sqlite3 module. Thus, when you use it as the name of the database file while opening a connection, it creates a temporary database that exists only in memory.
NEW QUESTION # 71
Which of the following statements related to :memory: are true?
(Select two answers.)
Answer: A,D
Explanation:
The correct answers are C and D. In Python's sqlite3 module, the string ':memory:' is passed to sqlite3.
connect() to create an in-memory SQLite database. This establishes a valid database connection, but the database exists only in RAM and normally disappears when the connection is closed. It is useful for testing, temporary storage, fast operations, and examples where no persistent database file is required.
Option A is wrong because :memory: does not load an existing file-based database into memory. Option B is also incorrect because it is not a deletion command or database management operation. It is simply a special database name recognized by SQLite to create a temporary in-memory database.
NEW QUESTION # 72
What isa___traceback___?
(Select two answers )
Answer: B,D
Explanation:
Explanation
The correct answers are A. An attribute owned by every exception object and D. An attribute that holds interesting information that is particularly useful when the programmer wants to store exception details in other objects. A traceback is an attribute of an exception object that contains a stack trace representing the call stack at the point where the exception was raised. The traceback attribute holds information about the sequence of function calls that led to the exception, which can be useful for debugging and error reporting.
NEW QUESTION # 73
......
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