This is Kataya Nagi. As a contract researcher at an agricultural research institute, I am conducting research to predict the material dynamics of ecosystems using models. I'm not an engineer, I'm a programming beginner, and I've just started Python in May of this year, but my PyData mentor introduced me to this calendar and I tried to make an entry! Today I was thinking of writing about Python, which is addicted to R, which I'm using recently, but I realized that I couldn't write much because I was a beginner, so why did my Python fever rise so much this year? In order to look back on that, I've summarized five ** reasons why I got into Python **.
Then go to 5 reasons immediately!
I had to organize and analyze a daunting number of csv files to organize by hand. There is no way to extract data by hand, there is no choice but to program.
I received advice from a group of excellent researchers doing modeling research that it would be useful to remember one interpreted language.
Alright, let's start with what is called an interpreted language. The person who gave me the advice is a Perl user, so why not make it easier to hear what you don't understand if you choose the same language? But is Python popular now? By the way, I've heard that German star researchers are also doing Python. ** If I had a chance to go to Germany and work with him someday, it would be nice if I could do Python? ** Yeah, let's do Python.
I'm sorry for the senior who gave me the advice. I couldn't beat my heart.
Python was installed on CentOS, a virtual machine that my boss put in shortly before I started Python, so Python started running easily. Moreover, a large amount of data processing is completed quickly with Python + PSQL. (Maybe I didn't have to use PSQL, but I started using it just a while ago, so I tried it.) It was faster than doing it in Excel, including the learning cost.
Maybe I can do it quickly with Python? (Misunderstanding)
R has a lot of users around me, it's easy to write code, and it's convenient because it tells me as soon as I hear it. But I'm not good at loop calculation, and it seems that it will take time if I do it with R from file processing. e? Can Python do file processing and data analysis faster than R? Do you have numpy, scipy, or extension modules that are pretty much used in the science community? ** No need to use different tools depending on the purpose? ** **
After all it would be convenient if Python could be used.
I don't know how to use scipy or numpy while it moves and floats easily (tears) After all it is quick to ask people-> PyConJP2014 + PyData Tutoria participation.
Tutorial The level is too high for me. But I feel like I can do PyData. PyConJP2014 also has a lot of interesting presentations and the atmosphere of the community is good. I made friends. PyCon fun!
I want to do more Python! Everyone was kind when I joined hack-a-thon with momentum. When I participated in the Python Mokumokukai next week with even more momentum, everyone was kind and nice. Pythonista Lots of good people. I enjoyed coding. I want to do more. (Here now)
To summarize the above, what made me addicted to Python is
Because. It's nice to see through my annoyance and my heart.
For what reason did you become a Tech girl? I would like to ask you why someday you got into programming and why you liked a particular language ☆
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