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Reviews of : Python for Data Analysis 1st Edition by Wes McKinney PDF Book
Inside this Book – I did copy editing on this book, so my review is of an unfinished (but close to finished) version. That being said: McKinney is the principal author on pandas, a Python package for doing data transformation and statistical analysis. The book is largely about pandas (and NumPy), but also delves into general methodologies for munging data and performing analytical operations on them (e.g., normalizing messy data and turning it into graphs and tables); he also delves into some (semi) esoteric information about how Python works at very low levels, and discusses ways to optimize data structures so that you can get maximum performance from your programs. This book won’t be useful for someone looking for a book that discusses data analysis in a broad sense, nor would it be useful for someone looking for a generalist’s book on Python — however if you’ve already selected Python as your analytical tool (and it sounds like it’s more/less the de facto analytical tool in many circles) then this could be just the book for you.
Inside this book –Python for Data Analysis 1st Edition PDF Book by Wes McKinney – I have been using R and Python for data analysis. And I have long ago discovered the Python technical stack of ipython, NumPy, Scipy, and Matplotlib and I thought I knew what I was doing. I even dipped my toe into pandas as my data structure for analysis. But Python for Data Analysis showed me entire worlds of improvement in my workflow and my ability to work with data in the messy form that is found in the real world. Python, like most interpreted languages, is slow compared to compiled languages. But there is a technical stack that started with the NumPy libraries and has grown to include Scipy, Matplotlib (graphing), ipython (shell) and pandas you get high quality and fast algorithm and data structure Fortran and C libraries underneath Python. But while these libraries are designed to be used together, documentation tends to be only about one at a time, and very little puts it all together as an integrated whole. McKinney’s Python for Data Analysis fills that gap.
Python for Data Analysis 1st Edition by Wes McKinney PDF : eBook Information
- Full Book Name – Python for Data Analysis 1st Edition
- Author of this Book – Wes McKinney
- Language – English
- Book Genre – Non Fiction, Programming, Computer Science, Technology, Technical, Science
- Download Format – PDF
- Size – 14.0 MB
- eBook Pages –470
- Price – Free