Timely Update: Python And Data Science
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I haven’t written a blog post since the end of January?! Crazy!!! What have I been doing since that time? Let me recap it in list form:
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I made great strides in learning a new language: python. Interestingly enough, python was my first official programming language I was introduced to, but I stupidly veered out of programming and only returned back on the path via JavaScript.
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In learning python (see 1.), I also made conscientious effort to learn some Data Science. This spurred my interest in making use of Jupyter, learning the SQL language and some of its various RDMS including postgresql and sqlite3.
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I have read countless books, post, articles, etc on anything that piqued my interest – regardless of how fleeting the interest turned out. These included topics such as blockchain, rust, and go.
I want to get back up to speed checking in at least (bi)weekly and jotting down my thoughts (incoherent or not), mainly for just the act of having a constant thing I do that is solely mine, but also to reflect on what I’ve learned/done/practiced and put them inside a digital notebook.
One thing I want to focus on now is Data Science. I want to write about some things I’ve learned these past months, such as exploratory data analysis (EDA), data cleaning, and data visualization. These work perfectly in a Jupyter environment, but not so much in a markdown formatted blog. However, I believe I have come upon a solution!