Mirzhan Irkegulov’s Reviews > Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython > Status Update
Mirzhan Irkegulov
is starting
ToC indicates the book briefly introduces Python & IPython, then moves quickly to basic NumPy in Ch4 & immediately to pandas in Ch5. I think for now I should be interested in up to Ch10 for Pokémon stuff (but Ch12 has important pandas stuff like method chaining). Ch11 is Time Series, Ch13 is statsmodels & scikit-learn, Ch14 is example data for practice, appendices are advanced NumPy & IPython.
— Aug 31, 2019 08:21AM
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Mirzhan Irkegulov
is on page 220 of 550
Done Ch7, ~115 code cells, TODOs left. pandas changed Series.str behavior a bit since then, which is slightly frustrating: I need string®ex functionality for Pokémon tidying.
Without time structure & Pomodoro, doing anything is slow, mainly due to frequent short distractions. Meditation becomes more & more important.
— Sep 02, 2019 09:20AM
Without time structure & Pomodoro, doing anything is slow, mainly due to frequent short distractions. Meditation becomes more & more important.
Mirzhan Irkegulov
is on page 190 of 550
Ch6, ~66 code cells, some TODOs left.
It does feel less like a “tutorial” & more of a showcase/gallery. & even then it feels lazy: he overviews a bunch of various features, but then lists the rest in tables, of which there are many.
— Sep 02, 2019 06:31AM
It does feel less like a “tutorial” & more of a showcase/gallery. & even then it feels lazy: he overviews a bunch of various features, but then lists the rest in tables, of which there are many.
Mirzhan Irkegulov
is on page 165 of 550
~170 code cells, many TODOs left. My brain is burning, gonna go to bed early today. I don't know how I feel about the book yet, IMO not enough conceptual discussion, too much of “do this command, now do this command”.
Hopefully will start meditating/diet/jogging tomorrow.
Neiborinos watching “Inception” lol.
— Sep 01, 2019 11:52AM
Hopefully will start meditating/diet/jogging tomorrow.
Neiborinos watching “Inception” lol.
Mirzhan Irkegulov
is on page 122 of 550
~145 code cells for Ch4, tho many TODOs left. Probably most of the Ch is about dtypes, dimensions, indexing (inc Boolean & fancy). Vectorization is told to be awesome, but the Secs on actual ufunc application are quite short. The book is primarily about pandas, after all, not linalg/stats/ML.
— Sep 01, 2019 09:06AM
Mirzhan Irkegulov
is on page 84 of 550
~121 code cells (but some TODOs left). I don't think the book is sufficiently newbie-friendly, there's some jargon here & there + concepts that may turn out to be quite tricky, but breezed thru too quickly. But he does talk about a lot cool stuff: comprehensions, generators, binary set operators, lambdas.
— Aug 31, 2019 05:11PM
Mirzhan Irkegulov
is on page 50 of 550
That was a wild ride across Python features, my Jupyter Notebook of Ch2 has 69 code cells. (Ecuadorians are partying in the living room, I listen to Brace Belden “War is Heck” episode)
Ch3 will be about Python containers, files, functions. A lot of intersection with “Automate the Boring Stuff…”
— Aug 31, 2019 10:59AM
Ch3 will be about Python containers, files, functions. A lot of intersection with “Automate the Boring Stuff…”
Mirzhan Irkegulov
is on page 14 of 550
Book uses Python 3.6 & Anaconda (good). Dummy calls Emacs and Vim primitive, LOL.
Btw, Wes McKinney is the creator of pandas. In Preface he acknowledges (In Memoriam) late John D. Hunter, who created matplotlib. He died shortly after Wes completed 1st edition manuscript in 2012.
— Aug 31, 2019 08:23AM
Btw, Wes McKinney is the creator of pandas. In Preface he acknowledges (In Memoriam) late John D. Hunter, who created matplotlib. He died shortly after Wes completed 1st edition manuscript in 2012.
