NeoSOFT Python and Django Developer Interview Questions, Process, and Tips for Experienced

List is a built-in Python data structure that can hold elements of different data types, while Array is a data structure from the NumPy library that can hold elements of the same data type.

• List is a dynamic array that can grow or shrink in size, while Array has a fixed size.

• List can hold elements of different data types, while Array can only hold elements of the same data type.

• List is a part of Python's standard librar...read more

DRF provides JSON, BrowsableAPI, TemplateHTML, and AdminRenderer classes for rendering responses.

• JSONRenderer: Renders data in JSON format.

• BrowsableAPIRenderer: Renders data in a browsable HTML format with forms for interacting with the API.

• TemplateHTMLRenderer: Renders data using a specified template in HTML format.

• AdminRenderer: Renders data in a format suitable for Django admin interface.

Method Resolution Order (MRO) is the order in which classes are searched for a method or attribute in Python.

• MRO is determined by the C3 linearization algorithm in Python.

• It follows a depth-first left-to-right traversal of the class hierarchy.

• MRO is important in multiple inheritance scenarios to resolve method conflicts.

• Example: class A: pass class B(A): pass class C(A): pass class D(B, C)

Class method is bound to the class itself, while static method is not bound to any specific instance or class.

• Class method takes 'cls' as the first parameter, allowing access to class variables and methods.

• Static method does not take any special parameters and does not have access to class or instance variables.

• Class method can be called on both the class and instances of the class.

• Static method is mainly used for util...read more

Transactions in SQL are a way to ensure data integrity by grouping multiple SQL statements into a single unit of work.

• Transactions help maintain the ACID properties (Atomicity, Consistency, Isolation, Durability) of a database.

• They allow multiple SQL statements to be executed as a single unit, either all succeeding or all failing.

• Transactions can be started with BEGIN TRANSACTION, COMMIT to save changes, or ROLLBACK to...read more

PEP 8 is the style guide for Python code, promoting readability and consistency in Python programming.

• Encourages using 4 spaces per indentation level instead of tabs.

• Recommends limiting lines to 79 characters for better readability.

• Suggests using blank lines to separate functions and classes.

• Promotes using descriptive variable names, e.g., 'user_age' instead of 'ua'.

• Advises on proper import ordering: standard libraries...read more

Multithreading allows concurrent execution of tasks in Python, enhancing performance and responsiveness in applications.

• Concurrency: Multiple threads run simultaneously, improving application responsiveness.

• Thread Creation: Use the 'threading' module to create threads. Example: 'threading.Thread(target=func).start()'.

• Synchronization: Use locks (e.g., 'threading.Lock') to prevent race conditions when accessing shared re...read more

Method overloading allows multiple methods with the same name but different parameters; overriding replaces a method in a subclass.

• Method Overloading: Same method name with different parameters in the same class.

• Example: def add(self, a: int, b: int) and def add(self, a: float, b: float).

• Method Overriding: Subclass provides a specific implementation of a method already defined in its superclass.

• Example: class Animal ha...read more

Lists are flexible and can hold mixed data types; arrays are fixed-type and more efficient for numerical data.

• Lists can contain elements of different data types: ['apple', 42, 3.14, True]

• Arrays are typically used for numerical data and require all elements to be of the same type: array('i', [1, 2, 3])

• Lists are part of Python's built-in data types, while arrays require importing the 'array' module or using libraries lik...read more

Pandas is a powerful Python library for data manipulation and analysis, providing data structures like DataFrames and Series.

• DataFrame: A 2-dimensional labeled data structure, similar to a spreadsheet. Example: df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})

• Series: A one-dimensional labeled array capable of holding any data type. Example: s = pd.Series([1, 2, 3])

• Data manipulation: Easily filter, group, and aggregate data...read more