Making a Translator in Python

def translate(phrase): translation = "" for letter in phrase: if letter.lower() in "aeiou": if letter.isupper(): translation = translation + "M" else: translation = translation + "m" else: translation= translation+letter return translation print(translate(input("Enter a phrase:")))

Soil Health Gap

Title: Soil Health Gap: A concept to establish a benchmark for soil health management Abstract Growing calls and the need for sustainable agriculture have brought deserved attention to soil and to efforts towards improving or maintaining soil health. Numerous research and field experiments report soil health in terms of physicochemical and biological indicators, and identify … Continue reading Soil Health Gap

Extracting Table from Webpage and Analyzing using R

Saurav Das March 7, 2020 Extracting the coronavirus cases from website “https://www.worldometers.info/coronavirus/” loading the library library(rvest) ## Loading required package: xml2 library(xml2) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union extracting … Continue reading Extracting Table from Webpage and Analyzing using R

Time Series Data Analysis – 1

A time series data are sequence of data which were listed in time order. Example of time series data include daily temperature, precipitation for a year or historical data showing several years month wise or day wise. Time series are mostly used in econometric, mathematical finance, weather forecasting etc. Time series analysis and forecasting uses … Continue reading Time Series Data Analysis – 1