![]() ![]() R, like Python, is a popular open-source programming language. Cons: Slower, less secure, and more complex to learn than Python.Pros: Platform independent, highly compatible, lots of packages.Mostly used for: Statistical analysis and data mining.You can learn more about Python in this post. In general though, if you’re building software from scratch, Python’s benefits far outweigh its drawbacks. Python’s main drawback is its speed-it is memory intensive and slower than many languages. Libraries like Beautiful Soup and Scrapy are used to scrape data from the web, while Matplotlib is excellent for data visualization and reporting. For example, the NumPy and pandas libraries are great for streamlining highly computational tasks, as well as supporting general data manipulation. Python is also extremely versatile it has a huge range of resource libraries suited to a variety of different data analytics tasks. Unlike more complex languages, it focuses on readability, and its general popularity in the tech field means many programmers are already familiar with it. ![]()
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