Distributed computing refers to the practice of using a network of computers to work together to solve a common problem. The computers in the network are connected through a communication…
Apache Spark is an open-source big data processing framework that is designed to handle large-scale data processing and analytics. It is written in Scala and provides a unified API for…
Machine learning algorithms are used to build models that can automatically learn from data and make predictions or decisions. These algorithms use statistical methods to find patterns and relationships in…
Pandas is a popular open-source data analysis library for Python. It provides a powerful set of tools for working with structured data, such as tabular data in spreadsheets or databases.…
NumPy provides a powerful set of linear algebra functions that can be used for a variety of data analysis tasks. Here are some basic linear algebra operations that can be…
Python is a high-level, interpreted programming language that is widely used for a variety of tasks, including web development, data analysis, artificial intelligence, and scientific computing. It was first created…
Python is a high-level, interpreted programming language that is designed to be easy to read, write, and maintain. It was created in the late 1980s by Guido van Rossum and…
def greet(name): print(f"Hello, {name}! How are you doing today?") greet("John") In this example, the greet() function is defined with a single parameter name. When the function is called with an…
In programming, the terms "parameter" and "argument" are often used interchangeably, but they have slightly different meanings. A "parameter" is a variable defined in the function declaration. It's a way…
Default arguments are arguments that have a default value specified in the function definition. If the argument is not passed to the function when it's called, the default value will…