{"id":9370,"date":"2022-08-29T10:28:52","date_gmt":"2022-08-29T10:28:52","guid":{"rendered":"https:\/\/www.prepbytes.com\/blog\/?p=9370"},"modified":"2022-09-13T13:46:42","modified_gmt":"2022-09-13T13:46:42","slug":"top-10-basic-python-programming-interview-questions","status":"publish","type":"post","link":"https:\/\/prepbytes.com\/blog\/top-10-basic-python-programming-interview-questions\/","title":{"rendered":"Top 10 Basic Python Programming Interview Questions"},"content":{"rendered":"

\"\"<\/p>\n

Python is one of the most popular and widely used programming language.
\nIt is used in web development, machine learning, desktop applications, game development, web scraping, web automation and many other fields.
\nMany Tech Giants like Google, Amazon, Facebook etc are using python and and hire people having knowledge and skills like Python.
\nIt is a high-level language which is easy to learn for computer programmers. We have prepared a list of Top 10 commonly asked interview questions<\/strong> related to basic python programming<\/a>.<\/p>\n

Python Interview Questions For Freshers<\/h3>\n
    \n
  1. \n

    What is an interpreted programming language?<\/strong>
    \nAn Interpreted language executes its statements line by line. Languages like Python, Javascript, R, PHP, and Ruby are prime examples of Interpreted languages. Programs written in an interpreted language runs directly from the source code, with no intermediary compilation step.<\/p>\n<\/li>\n

  2. \n

    What are modules and packages in Python?<\/strong>
    \nPython packages and Python modules are two mechanisms that allow for modular programming in Python. Modularizing has several advantages –
    \na. Simplicity<\/strong>: Working on a single module helps you focus on a relatively small portion of the problem at hand. This makes development easier and less error-prone.
    \nb. Maintainability<\/strong>: Modules are designed to enforce logical boundaries between different problem domains. If they are written in a manner that reduces interdependency, it is less likely that modifications in a module might impact other parts of the program.
    \nc. Reusability<\/strong>: Functions defined in a module can be easily reused by other parts of the application.
    \nd. Scoping<\/strong>: Modules typically define a separate namespace, which helps avoid confusion between identifiers from other parts of the program.<\/p>\n

    Modules<\/strong>, in general, are simply Python files with a .py extension and can have a set of functions, classes, or variables defined and implemented. They can be imported and initialized once using the import statement. If partial functionality is needed, import the requisite classes or functions using from foo import bar.<\/p>\n

    Packages<\/strong> allow for hierarchical structuring of the module namespace using dot notation. As modules help avoid clashes between global variable names, in a similar manner, packages help avoid clashes between module names.
    \nCreating a package is easy since it makes use of the system’s inherent file structure. So just stuff the modules into a folder and there you have it, the folder name as the package name. Importing a module or its contents from this package requires the package name as prefix to the module name joined by a dot.<\/p>\n<\/li>\n

  3. \n

    What are global, protected and private attributes in Python?<\/strong><\/p>\n

      \n
    • \n

      Global variables are public variables that are defined in the global scope. To use the variable in the global scope inside a function, we use the global keyword.<\/p>\n<\/li>\n

    • \n

      Protected attributes are attributes defined with an underscore prefixed to their identifier eg. __prep. They can still be accessed and modified from outside the class they are defined in but a responsible developer should refrain from doing so.<\/p>\n<\/li>\n

    • \n

      Private attributes are attributes with double underscore prefixed to their identifier eg. __bytes. They cannot be accessed or modified from the outside directly and will result in an AttributeError if such an attempt is made.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n

    • \n

      What is the use of self in Python?<\/strong>
      \nSelf is used to represent the instance of the class. With this keyword, you can access the attributes and methods of the class in python. It binds the attributes with the given arguments. self is used in different places and often thought to be a keyword. But unlike in C++, self is not a keyword in Python.<\/p>\n<\/li>\n

    • \n

      What is the difference between Python Arrays and lists?<\/strong><\/p>\n

        \n
      • Arrays in python can only contain elements of the same data types i.e., data type of array should be homogeneous. It is a thin wrapper around C language arrays and consumes far less memory than lists.<\/li>\n
      • Lists in python can contain elements of different data types i.e., data type of lists can be heterogeneous. It has the disadvantage of consuming large amounts of memory.
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