In this article, we will discuss a simple program which calculates the factorial of all the numbers present in the Fibonacci series smaller than a given nums. Problem Statement We are given a number and our task is to generate the factorial of all the numbers present in the Fibonacci series and smaller than the given number. Let us first understand the problem statement and requirements from the code solution with the help of examples. Input nums = 13 Output Fibonacci series up to 13 is 0, 1, 1, 2, 3, 5, So, the factorial ... Read More

Statistical simulation is the task of making use of computer based methods in order to generate random samples from a probability distribution so that we can model and analyse complex systems which exhibit random behaviour. In this article we are going to see how to make use of this powerful tool in Python to make predictions, generate insights as well as evaluate the performance of statistical algorithms. There are different types of statistical simulations, which are as follows: Monte Carlo simulations − Generation of random samples from a probability distribution in order to estimate the expected value of a ... Read More

A network is a collection of nodes and edges that represent the relationships or connections between those nodes. The nodes can represent various entities, such as individuals, organizations, genes, or websites, while the edges represent the connections or interactions between them. Network analysis is the study of the relationships between these entities are node represented as a network. In this article, we are going to see how to implement network analysis using python. It involves the use of many mathematical, statistical and computational techniques. Network analysis can provide insights into the behaviour of complex systems and help to make ... Read More

Python provides us with a variety of tools as well as libraries that help us work with the foundations of probability. Probability has a wide scale use case from AI content detection to card games. The random module is often used for probability related problem statements. This combined with libraries like numpy and scipy (and matplotlib and seaborn for visualization) can be of great advantage when the data is large scale and mainly in the form of csv files. Probability problem statements can further be clubbed with statistics to gain more insights. It doesn’t matter if you are a beginner ... Read More

Probability deals with the study of random events as well as their outcomes. It is an essential concept in various fields like finance, physics, engineering and data science. It is defined as the likelihood of an event occurring as no event can be predicted with 100% certainty. Hence probability is just a guide. In this article, we are going to be seeing the foundations of probability in Python. Python offers a number of libraries that allow us to work with probability distributions and perform statistical computations as well as generate random numbers. The basic concepts and keywords of probability ... Read More

ARIMA is a statistical model used for time series forecasting that combines three components: autoregression (AR), integration (I), and moving average (MA). Autoregression (AR) − This component models the dependence between an observation and a number of lagged observations. It's based on the idea that past values of a time series can be used to predict future values. The order of autoregression, denoted by "p", specifies the number of lagged observations to use as predictors. Integration (I) − This component handles non-stationarity of the time series data by removing trends and seasonality. The order of integration, denoted by "d", ... Read More

Introduction to Random Replacement of Word In this article, we are going to learn about the random replacement of words. Random word replacement means that we will randomly select a word from the input text and replace that word with the word that we will select randomly from the list of strings. This process helps us introduce variation and generates different text versions. As we know python is a free, open-source programming language, which provides us with a range of tools and functionalities by the help of which we could perform random replacement of words. We are going to use ... Read More

Introduction This article will help us to understand the dictionary and how we can get its values with the help of its key. In Python, the dictionary is a collection of key, value pairs. We are going to learn about calculating the product and summation of dictionary values using the values() method. To calculate the sum of dictionary values we are going to use a loop to traverse through each value present in the dictionary and add it to the result variable(initially which is 0) and keep on updating it with each value until all the values of the dictionary ... Read More

In today's time, when we have high volume and velocities of data flowing, Apache Spark, an open source big data processing framework, is a common choice as it allows parallel and distributed processing of data. Cleaning of such data is an important step and Apache Spark provides us with a variety of tools and methods for the cleaning of data. In this method, we are going to be seeing how to clean data with Apache Spark in Python and the steps to do so are as follows: Loading the data into a Spark DataFrame − The SparkSession.read method allows ... Read More

Introduction to Produce K evenly spaced float values in Python This article will focus on how to produce k evenly spaced float value using Python. As we know python is an open-source, flexible programming language that offers a huge number of functions for manipulating data and analysis. In this article, we will understand how to produce k evenly spaced float values in Python, where k would be the number of values that has to be printed. The method to find evenly-spaced float values is used in many real-life applications such as in scientific computing, data visualization, and in mathematical operations. ... Read More