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Reviews of : Python for Data Analysis 2nd Edition by Wes McKinney PDF Book
Inside this Book – For some time now 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.
Inside this book –Python for Data Analysis 2nd Edition PDF Book by Wes McKinney – Even though I have been using iPython, NumPy, Scipy and Matplotlib for years, and pandas for about half a year, going through this book makes me feel like I was a rank novice. I learned how to efficiently use the shell as a development tool, to the point I have stopped automatically using the ipython notebook or pydev (eclipse) when starting new projects and I use the shell instead, because its introspection and debugging capabilities made it much easier to work. I had started using pandas for a data structure because I liked the similarities with R data frames, this book showed me where pandas goes well beyond that.
Python for Data Analysis 2nd Edition by Wes McKinney PDF : eBook Information
- Full Book Name – Python for Data Analysis 2nd Edition
- Author of this Book – Wes McKinney
- Language – English
- Book Genre – Non Fiction, Programming, Computer Science, Technology, Science, Technical, Python
- Download Format – PDF
- Size – 5.19 MB
- eBook Pages –529
- Price – Free