Python Questions

The self parameter is a reference to the current instance of the class.

Yes, it is possible to have static methods in Python. Static methods are methods that are called without instantiating the class. 

The None keyword is used to define a null value, or no value at all. None is not the same as 0, False, or an empty string. None is a data type of its own (NoneType) and only None can be None.

Yes, Python is an interpreted language.

Iterators in Python are objects that can be used to iterate over a sequence of items.

Functions are the basic building blocks of Python. They are used to perform a specific task.

Variables with the public access modifiers can be accessed anywhere inside or outside the class

The private variables can only be accessed inside the class,

Protected variables can be accessed within the same package.

Pandas is a Python library for data manipulation and analysis. It provides high-performance, easy-to-use data structures and data analysis tools.

Overloading constructors or methods in Python is done by using the __init__() method.

__init__ is a special method that is called when an object is instantiated. It is used to initialize the object.

The enumerate function returns an enumerate object. It is a way to iterate over an iterable and return both the index and value of each item in the iterable.

Dictionaries are used to store data in key-value pairs.

Deep copy is a copy of the object itself while shallow copy is a copy of the object’s reference.

The single underscore “_” variable is used to indicate that a variable is private and should not be used outside of the class.

A docstring is a string literal used to document the purpose of a Python module, function, class, or method.

Python docstrings are the string literals that appear right after the definition of a function, method, class, or module. Let's take an example.

In Python, Modules are simply files with the “. py” extension containing Python code that can be imported inside another Python Program.

Flask is a web framework, it’s a Python module that lets you develop web applications easily.

Namespaces in Python. A namespace is a collection of currently defined symbolic names along with information about the object that each name references.

The append() adds a single element to the end of the list while . extend() can add multiple individual elements to the end of the list.

The with statement in Python is used for resource management and exception handling. You'd most likely find it when working with file streams. 

A callable is an object that can be called. For example, a function is callable, but classes are not callable. 

Lambda functions are anonymous functions in Python. They are used to create small anonymous functions.

Decorators are functions that are used to modify the behavior of other functions.

PEP 8, sometimes spelled PEP8 or PEP-8, is a document that provides guidelines and best practices on how to write Python code.

Literals in Python is defined as the raw data assigned to variables or constants while programming.

The zip() function in Python is used to create a sequence of tuples, and it takes any number of iterables as arguments.

Descriptors are objects that provide access to the properties of an object.

Pickling is the process of converting a Python object into a byte stream, and unpickling is the process of converting a byte stream into a Python object.

Negative index in Python is used to access the elements of a list or a tuple from the end of the list or tuple.

The pass statement is used as a placeholder for future code. When the pass statement is executed, nothing happens, but you avoid getting an error when empty code is not allowed.

Python keywords are special reserved words that have specific meanings and purposes and can't be used for anything but those specific purposes.

The following are the common built-in data types in Python:

• Binary Types: memoryview, bytearray, bytes
• Boolean Type: bool
• Set Types: frozenset, set
• Mapping Type: dict
• Sequence Types: range, tuple, list
• Numeric Types: complex, float, int
• Text Type: str

 A generator is a special type of function which does not return a single value, instead, it returns an iterator object with a sequence of values.

A metaclass in Python is a class of a class that defines how a class behaves. A class is itself an instance of a metaclass.

The Global Interpreter Lock (GIL) is a synchronization mechanism in Python that prevents multiple threads from running Python code at the same time.

The Life Cycle of a Thread is as follows:

• New − A new thread begins its life cycle in the new state. It remains in this state until the program starts the thread. It is also referred to as a born thread.
•  Runnable − After a newly born thread is started, the thread becomes runnable. A thread in this state is considered to be executing its task.
•  Waiting − Sometimes, a thread transitions to the waiting state while the thread waits for another thread to perform a task. Thread transitions back to the runnable state only when another thread signals the waiting thread to continue executing.
•  Timed Waiting − A runnable thread can enter the timed waiting state for a specified interval of time. A thread in this state transitions back to the runnable state when that time interval expires or when the event it is waiting for occurs.
•  Terminated (Dead) − A runnable thread enters the terminated state when it completes its task or otherwise terminates.