I started to learn Python in May. I finished two introductory courses about it on Coursera. Then, after a summer full of indecisiveness and frustration about where I want to take my skills to, I came to the conclusion that becoming a data scientist would be the right move. I guess that was around the last week of October. Since then, I’ve finished a third Python course and the fourth one is starting pretty soon.
I can already feel that I’ve opened the doors to a whole other world about computing and programming. My feelings about Data Science deserves another article so I’ll only focus on Python in this one. More specifically, how I approached a specific problem and how I’ve been able to produce the same results with better tools.
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