# Category: Numeric and Scientific Computing

## Rounding scientific notation in python

Scientific notation is a way of expressing numbers that are very large or very small using a combination of a decimal number and an exponent. In Python, scientific notation can be represented

## What is a secure way to send an email using python and gmail as the provider

Sending emails using Python and Gmail as the provider is a common task in many applications. However, it is important to ensure that the email is sent securely to protect sensitive information.

## Simulated annealing in python with multiple variables

Simulated annealing is a popular optimization algorithm used to find the global minimum of a function. It is particularly useful when dealing with complex functions that have multiple variables. In this article,

## Simpsons rule in python

Simpson’s rule is a numerical method used to approximate the definite integral of a function. In Python, there are several ways to implement Simpson’s rule. In this article, we will explore three

## Simpsons rule 3 8 for n intervals in python

Simpson’s rule is a numerical integration method that approximates the definite integral of a function. In this article, we will explore different ways to implement Simpson’s rule in Python for a given

## Short time fourier transform in python

Short time Fourier transform (STFT) is a widely used technique in signal processing for analyzing non-stationary signals. In Python, there are several ways to implement STFT, each with its own advantages and

## Solving system of linear equation using cramers method in python

Solving a system of linear equations is a common task in mathematics and computer science. In Python, there are several ways to solve such systems, and one popular method is Cramer’s method.

## Softmax python calculation

Softmax is a mathematical function that converts a vector of real numbers into a probability distribution. It is commonly used in machine learning algorithms, especially in multi-class classification problems. In this article,