HCLTech Jr Python Developer Interview Questions, Process, and Tips

Inheritance is a mechanism in object-oriented programming where a new class is created from an existing class.

• Allows for code reuse and avoids redundancy

• The new class (subclass) inherits properties and methods from the existing class (superclass)

• Subclass can add new properties and methods or override existing ones

• Example: A Car class can inherit properties and methods from a Vehicle class

Lambda functions are anonymous functions that can be defined without a name.

• Lambda functions are defined using the lambda keyword.

• They can take any number of arguments, but can only have one expression.

• They are often used as arguments for higher-order functions.

• Example: lambda x: x**2 defines a lambda function that squares its input.

Numpy is a Python library for numerical computing with support for large, multi-dimensional arrays and matrices.

• Numpy provides efficient mathematical operations on arrays.

• It is widely used in scientific computing, data analysis, and machine learning.

• Numpy arrays are homogeneous and can be indexed and sliced like lists.

• Broadcasting allows for element-wise operations on arrays of different shapes.

• Numpy also includes line...read more

Pandas is a Python library used for data manipulation and analysis.

• Pandas provides data structures for efficiently storing and manipulating large datasets.

• It offers tools for data cleaning, merging, reshaping, and visualization.

• Pandas can handle various data formats such as CSV, Excel, SQL databases, and JSON.

• It is widely used in data science, finance, economics, and other fields.

• Example: df = pd.read_csv('data.csv') c

There are 7 types of operators in Python.

• Arithmetic operators (+, -, *, /, %, //, **)

• Comparison operators (==, !=, >, <, >=, <=)

• Assignment operators (=, +=, -=, *=, /=, %=, //=, **=)

• Logical operators (and, or, not)

• Bitwise operators (&, |, ^, ~, <<, >>)

• Identity operators (is, is not)

• Membership operators (in, not in)