[New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney


7 thoughts on “[New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney

  1. says: Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney

    [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney Great book for anyone needing common tools used in Python and indeed in data science My favourite chapters were 2 3 and 4

  2. says: Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney Wes McKinney ´ 4 review [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney

    Wes McKinney ´ 4 review [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney O'Reilly has some excellent books on data analysis data science etc This book is no exception and provides a really good introduction to the key python libraries for data analysis Updated for python 36 My only g

  3. says: [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney

    [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney Wes McKinney ´ 4 review This book is generally considered a classic but I am in 2 minds over it It gives an introduction to the Python language which is nice for a be

  4. says: [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney Wes McKinney ´ 4 review Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

    Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney I have purchased other books for jumping into machine learning using Python but they always somewhat gloss over the basics and you have to accept a bit of magic around Pandas Matplotlib etc to follow along I'm so glad I went back to build a solid foundation with this book so I'm no longer fumbling around with magic commands or sp

  5. says: Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney Wes McKinney ´ 4 review Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

    [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney Wes McKinney ´ 4 review Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython The content of the book is good The print uality is bad I can see the texts through the pages Most of the figures are poorly printed looks like run out of ink I can understand that this is paperback print but I would expect better uality for £30 book It is too much hassle to return this in the current situation

  6. says: [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney

    [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Wes is a great writer and teacher I feel I am learning about data analysis with python by tracing out the code in the book

  7. says: Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney

    Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney [New] (Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython) AUTHOR Wes McKinney A good reference book It did a reasonable job in breaking python data analysis down into consumable chunks however there are many free resources out there that would do an eually good job This book rarely focuses on the bigger pictu

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Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney Wes McKinney ´ 4 review PythonGet started with data analysis tools in the pandas libraryUse flexible tools to load clean transform merge and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice dice and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real world data analysis problems with thorough detailed example. Wes is a great writer and teacher I feel I am learning about data analysis with python by tracing out the code in the book Wes refers to this as strengthening one s muscle memory in my Juptyer notebooks on my laptop than I had from trying moocs on data analysis

Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinneyPython for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney Wes McKinney ´ 4 review Get complete instructions for manipulating processing cleaning and crunching datasets in Python Updated for Python 36 the second edition of this hands on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively Youll learn the latest versions of pandas NumPy IPython and Jupyter in the processWritten by Wes McKinney the creator. Great book for anyone needing common tools used in Python and indeed in data science My favourite chapters were 2 3 and 4 Basically if you are a noob like me you should start from the chapter one and read through till chapter 4 List dictionary tuple comprehensions are uiet powerful as well as array with panadas and scikitlearnIf you are looking for in depth graphical representation of plots using pandas and skitlearn then maybe look at another book as this one is of a back ground tools kind a thing

Wes McKinney ´ 4 review

Summary Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Summary ´ PDF, DOC, TXT or eBook ´ Wes McKinney Wes McKinney ´ 4 review Of the Python pandas project this book is a practical modern introduction to data science tools in Python Its ideal for analysts new to Python and for Python programmers new to data science and scientific computing Data files and related material are available on GitHubUse the IPython shell and Jupyter notebook for exploratory computingLearn basic and advanced features in NumPy Numerical. I have purchased other books for jumping into machine learning using Python but they always somewhat gloss over the basics and you have to accept a bit of magic around Pandas Matplotlib etc to follow along I m so glad I went back to build a solid foundation with this book so I m no longer fumbling around with magic commands or spending a huge proportion of time trawling Stack OverflowProbably my favourite aspect of this book is that you can just read it every single concept is demonstrated in code on the paper with the full input and outputs The only time I ve opened my editor is to play around with concepts I wanted to clarify the rest has been just a good solid read with everything clearly demonstrated It s well structured and builds concepts as you progress but is also an excellent reference book I can see myself dipping back into time and againI think this is essential foundational material for starting your journey into data analysis andor machine learning with Python

  • Paperback
  • null
  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
  • Wes McKinney
  • en
  • 27 August 2020
  • null