Introduction: I was overwhelmed in the last five weeks that I have been taken Object-Oriented Scripting Language in Python 3. Maybe because I have never taken any programming before, and Python 3 made me realize that I need to learn and...
Technology is (nearly) always built with the tools at hand. It is worth noting that technology lasts until superior technology emerges to replace the tried-and-true older technology or its necessity fades away. Whether we're talking about flint arrowheads or payphones,...
Abstract When working with a specific programming language or program, programming paradigms offer various organizational structures that can be utilized. Each paradigm has its own unique set of structures, attributes, and approaches to common programming problems. Such as programming languages, the...
Directions in programming and security of information for the data scientist Quotes Python is a good programming language choice for data scientists to learn. According to Bansal and Srivastava (2018), “This language can support different styles of programming including structural and object-oriented....
ABSTRACT Every organization loves a programmer who is quick enough to write a script at the same time he can also adapt to write complex programs. This paper gives three examples of the programming languages describing how these languages are useful...
The quantitative study is the procedure for gathering and processing numerical information.. Quantitative data analysis involves examining number-based and numerical data using various statistical methods. To explain behavior, quantitative analysis entails mathematical and statistical modeling, evaluation, and study (Bloomfield &...
Introduction Engineering students are mainly looking for recruitment from their educational institute campus. Most of the engineering under graduate students are joining industrial sectors. The industrial sector offers good salaries to the engineering under graduate students. it is nevertheless to say...
Regular expressions are data mining techniques applied by data scientists and analysts to define a search pattern. Regular expressions or Regex are typically applied in text mining or natural language processing, and they rely on the use of a string...
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