What exactly can you do with Python? Here are Python's 3 main applications

Blog#3 What exactly can you do with Python? Here are Python's 3 main applications


This article is about the writer’s personal experience. It especially focuses on python. Speaking of the python, it’s the popular language for big data nowadays. I’m particularly interested in the data visualization. It turns the number or the outcome to the chart, so it will be easier for people to view the difference between the number or the line. This is convenient because I believe lots of people like to view the picture or graph rather than lots of words. For example, when making the powerpoint, good maker will transform the word to the picture. I think data visualization makes analysts analyze clearly. And a data analysts need to come up with a few possible explanations for the difference. I consider that imagination and observation is important for them at that time. However, having one chart is not enough, you may need to draw another graph to understand whether the explanation is correct. It seems like you need to deep more and connect to other reasons so that your analysis will be more correct. Recently, lots of big company use big data to track their customer or the product sals. It urges me to want to learn more in this field. I think if I can use the number to record the things surrounded me, that will be clear and efficient. Of course, this field need people that are sensitive to the number. I just hope I can keep improving myself and learning knowledges in some extra courses, focusing on the field in the future. 

Comments

  1. AnonymousJune 2, 2020 at 1:40 AM

    The reason I reply this is simply because of the word "Python". In my mind, I was thinking how could python, namely the snake, be related to big data. Not to mention 3 main applications, I thought that was the snake game.

    After I clicked in the link, I found that I misunderstood all of it. The word python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.

    Python is simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

    Therefore, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace.

    Nowadays, everyone carries a smartphone. But your smartphone will no longer be smart if there is no apps within. So there are more and more app developers developing apps to make us much more convenient or entertained, and with Python, they can make them easier and better.

    ReplyDelete

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