Top 10 Popular Python Interview Questions for freshers

PEP is an abbreviation for Python Enhancement Proposal. Also known as a Python Engineering Project (PEP), it is a formal design document that describes a new feature or the processes that run on it for Python. PEP 8 is essential since it offers guidance on following style guidelines while writing Python code. According to the Python website, one can contribute to the open-source community of Python by following these style requirements thoroughly.

In contrast to written language, interpretive language executes the statements line by line rather than all at once. The term “interpreted language” refers to a computer language that may be executed without the need for a compiler. Python, Javascript, R, PHP, and Ruby are examples of such languages. In contrast to compiled programs, interpreted programs can execute directly from the source code without the requirement of an intermediary compilation procedure to be performed.

A namespace is a naming system used to ensure that names are unique to prevent naming conflicts across applications. The global namespace holds all the names that have been specified at the level of the main application programme. Upon initialising the primary programme body in Python, it establishes a global namespace that stays in effect until the interpreter is closed down completely.

The decoration is a technique for adding specific design patterns to a function without altering the function’s internal structure. Decorators are often defined before the function to enhance it. The decorator function must first be defined before one can apply it. Then you must create the function to which it is to be applied and simply place the decorator function above that function. This is accomplished by placing the @ sign before the decorator.

Yes. Python is a case-sensitive programming language. A typical example of case sensitivity in Python is the names of variables, which are capitalised by default. username, UserName, and UserName are all distinct variables, and using any of these names interchangeably results in an unexpected error. The same criterion applies to the names of functions.

Every object in Python has a scope within which it may perform its functions. In Python, a scope is a section of code that contains an object that is still relevant. Namespaces are used to identify all items included inside a programme uniquely. On the other hand, these namespaces have a scope set for them, which allows you to utilize their objects without the need for a prefix. The following are a few instances of scope that may be formed during code execution in Python:

1.The term “local scope” refers to the items that are now accessible in the current function.
2.The term “global scope” refers to the items that have been accessible throughout the code execution since it began.
3.The scope of a module refers to the global objects of the current module that are available throughout the programme.
4.An outermost scope contains all of the built-in names that the programme may call. The items inside this scope are searched last to locate the name that has been referenced.

1.Python’s private heap area is in charge of managing the program’s memory. All Python objects and data structures are stored in a private heap accessible only to the Python interpreter.
2.The Python Interpreter is responsible for maintaining this private heap, and a programmer does not have access to it.
3.When it comes to allocating Python private heap space, Python memory management is in charge.
4.The Python garbage collector, which recycles and frees up all unnecessary memory, makes memory for the private heap area accessible to the language’s user interface.

PYTHONPATH performs functions that are comparable to those of PATH. This variable instructs the Python Interpreter where to look for module files that have been imported into a program. Python source library folders and directories containing Python source code should be included in this directory structure. The Python Installer occasionally sets the PYTHONPATH variable.

The term “self” refers to the instance of a class. In Python, you may use this keyword to access the properties and methods of a given class. It establishes a connection between the qualities and the arguments. The term “self” is used in various contexts and is often considered a keyword.

Multithreading is a term that refers to the execution of numerous threads at the same time. The Python Global Interpreter Lock prevents more than one thread from holding the Python interpreter simultaneously at any moment in the program. As a result, Python multithreading is accomplished via context switching. It differs from multiprocessing, which actually opens up numerous processes over multiple threads.