Computer scientists are no longer the only ones who can program. Its growing popularity and power are sweeping into fields where coding was not previously required. People are realizing how much more they can achieve with programming languages, which is fueling an increase in computer science education.
Programming courses are being taken by graduates in a variety of fields, from business to natural science, in order to boost their productivity. Simultaneously, computer science graduates are finding work in fields other than pure software engineering. Outside of software creation, there are four occupations where programming abilities can be used:
Data Analyst
While Microsoft Excel remains the industry standard, Python, a computer language, is eating away at its popularity. Because Excel’s restriction of one million rows prevents it from processing or analyzing large amounts of data, businesses nowadays generate massive amounts of data that cannot be processed or analyzed in Excel. Python, when combined with packages like Pandas, makes light work of processing massive datasets.
“We can work with Big Data, load larger volumes of data compared to Excel,” Md. Shafiqur Rahman Ridth, Assistant Manager of Reporting and Analysis at Nagad, replies when asked why he prefers Python to Excel.
Python can also be used to automate operations that are tedious. Python provides a lot more power and adaptability when it comes to predictive analytics. “Advanced statistics, visualization, and machine learning can all be done using Python,” Shafiqur stated. Excel’s capacity to run machine learning algorithms is limited.
Genomics Researcher
Because of the large volumes of data that need to be crunched, programming has long been a staple in natural science research. R is the most widely used programming language in the scientific field. R is a computer language for statistical computation and graphics designed by statisticians. Its data analysis capabilities make it an excellent choice for researchers. It’s frequently used to summarize experimental statistics.
Programming is sometimes used to automate operations in studies, such as constructing a data pipeline. In a computational environment, researchers can input many variables and observe the consequences. Jahan Rahman, a research assistant at the New York Genome Center, utilized his programming skills to create open-source software that allows researchers to create RNAs that are tailored to their needs. “I can make figures, interpret data, and feed standardised variables into programming to get some standardized result that people can utilize,” Jahan stated.
Operations Analyst
Operations is one of a company’s most important functions, and it deals with a lot of data. As a result, being able to use SQL, a language for manipulating data in a relational database management system, is extremely useful for members of an operations team.
Knowing SQL, according to Sabbir Ahmed, Manager of Digital Recharge (Market Operations Division) at Robi Axiata Limited, “reduced reliance in obtaining client data.” He was able to boost his work productivity by not having to bother another team to request data. In comparison to Excel, data manipulation with SQL is much easier. Sabbir also employs his Python skills to create prediction models that help him better target customers.
A new product’s response rate is usually about 0.01 percent. Using a programming-based targeting method, however, he was able to attain a response rate of 7–10%. This resulted in a significant reduction in promotional costs.
Architect
The visual programming language Grasshopper 3D is used to model architecture and structural engineering. A visual programming language does not require any scripting and creates algorithms solely using drag-and-drop options. It does, however, include features and matches the syntax of a standard programming language.
Grasshopper, like most programming languages, allows users to automate processes. Instead of drawing the same line or circle several times, an algorithm in Grasshopper can be created. “Algorithms in Grasshopper are quite easy to design.” The features are pre-built elements that you may drag, drop, and connect. It’s all extremely intuitive aesthetically. On the advantages of using Grasshopper, Arnob Faraz, a North South University Architecture graduate, remarked, “It’s a lot less time-intensive than manually adjusting the geometry.” Python code blocks can also be introduced to Grasshopper.
Source: The Daily Star
