Error-free and easy coding is a prerequisite for a data analyst.Thus, apart from business sense, a bit of coding with any of the available tools is mandatory. Be it SAS, R or Python. Again, if we compare among these three, SAS has comprehensive documentation and comes with a cost. R is a low-level programming language, thus simple outputs may require longer coding. However, Python programming is proving to be a boon these days.Python has excellent data handling capability. It supports structured programming, object-oriented programming, functional programming, etc. Python programming is apt for visualization, machine learning and data analysis due to the innumerable types of libraries supported by it.
Usage of Python programming
Usage of Python programming can be showcased in healthcare department; as in the case of Monovar. Monovar is a computer program written via python programming to detect single nucleotide variants (SNVs) in the cancer cells. Monovar’s algorithm helps to pinpoint variations in a single cell of cancer. Python programming is also ideal for the BFSI (Banking, Financial Services, and Insurance) sector too. It is because python helps in solving quantitative problems for risk management, trade management,and pricing platforms. It is also suitable for data analysis, compliance, and regulation.
Easiness of Python programming
Python programming is preferred by most coders and organizations because of its easiness.Unlike other languages which use various punctuation, python uses simple English keywords and indentations. This enhances the readability of the user and thus programs can be coded at great speed. Being the backbone of Google, it has fewer lines of code.Being very flexible, it is not very difficult to build features.
With the rise of Big Data,Python programmers are in great demand as data scientists, as it can carry out tasks with machine learning. It is the most popular skill in demand now.Python programming also finds its application in web development, scientific computing, Artificial Intelligence and so on. Being an open source project, Python gets new versions and updates almost every year. It is quite clear that python will continue to reign in case of its relevance. In case of searches too, Python has skyrocketed when compared to other tools.
