Lawyer SEO expert Qamar Zaman who specializes in data science explains why Python is a necessary language to learn for Data Science.
Python is a very useful language for handling data. It’s also an incredibly easy language to learn compared to other languages due to its simple syntax. It’s becoming extremely popular among data scientists as well for this very reason. However, that can’t be the only reason, right? After all, for data science Python has to be useful as well.
What is Data Science?
Data science is the study and analysis of data to understand and extract patterns. For example, sales data can help predict ups and downs in demand, while environmental data can find patterns in weather. Data science is all about compiling that data and using it to extract valuable insights and applicable results. So why is Python so good for this?
Python is Easy to Learn
First things first, Python is very easy to pick up. From a syntax point of view, it’s very clear and doesn’t require a complex understanding of programming. Data science already requires scientists to deal with complex patterns and data points. Hence, a language that is easy to understand really helps them get the job done.
Python Has Dedicated Libraries
Python also has dedicated libraries for resources; over 70,000 in fact. These include libraries for machine learning and AI. Since data science directly overlaps with those two disciplines, Python is advantageous for programmers and data scientists. These libraries include SciPy, Matplotlib, Numpy, and Pandas. These can be imported into your environment any time. This is perhaps the chief reason that you should learn Python for data science.
Python Can Model and Visualize Data
Since data modelling is a crucial feature in data science, Python is perfect for it. Libraries like Numpy and SciPy can model data with relative each. Python’s other advanced libraries can also perform tasks which can model data in histograms, trend graphs, etc.
Other python libraries like Plotly, Matplotlib and IPython can visualize data. The latter supports the use of a GUI toolkit as well. Here are great resources I have provided for ready references.
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Zaman has worked with top law firms in the nation and is a author of
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