(E–pub READ) Python for Data Analysis

Wes McKinney Ø 3 read & download

Python for Data Analysis

review Python for Data Analysis × eBook or Kindle ePUB Hods using Python as the implementation languageWritten by Wes McKinney the main author of the pandas library this hands on book is packed with practical cases studies It's ideal for analysts new to Python and for Python programmers new to scientific computingUse the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy Numerical Python featuresGet started with data analysis tools in the. This book is a reasonably comprehensive tutorial to pandas the Python library for data wrangling As a tutorial it works wellBut it wasn t uite what I was expecting I was expecting less tutorial and case studies taking meaningful datasets instead of makey upy ones and using pandas and other tools to pose and answer uestions For me this would have made the book a much practical resource

free read Python for Data Analysis

review Python for Data Analysis × eBook or Kindle ePUB Pandas libraryUse high performance tools to load clean transform merge and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice dice and summarize datasetsMeasure data by points in time whether it's specific instances fixed periods or intervalsLearn how to solve problems in web analytics social sciences finance and economics through detailed examples. A good thorough introduction into using Python and in particular the numpy and pandas libraries for data analysis As with pretty much al books of this kind after a while the mixture of text and examples makes it hard to follow but then maybe it s not supposed to be read while sitting down in an armchair

review ô eBook or Kindle ePUB Ø Wes McKinney

review Python for Data Analysis × eBook or Kindle ePUB Python for Data Analysis is concerned with the nuts and bolts of manipulating processing cleaning and crunching data in Python It is also a practical modern introduction to scientific computing in Python tailored for data intensive applications This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems This book is not an exposition on analytical met. 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 worldPython 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 uality 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 gapEven 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 With matplotlib I could make specific plots this book showed me how to use the pandas interface to make them a natural part of the workflow even if it is not yet at the level of a grammer such as ggplotsPython for Data Analysis does not just teach how to use the Python scientific stack it also teaches a workflow for technical computing And this is beyond what you can get from reading off the web it probably really reuires the opportunity to work alongside someone who knows what they are doing to see the practices that makes them productive As such I would recommend it for anyone who does scientific and technical computing whether in the sciences engineering finance or other areas where uantitative computing using Python is doneDisclaimer I received a free electronic copy of this book from the O Reilly Blogger Program


10 thoughts on “(E–pub READ) Python for Data Analysis

  1. says: Wes McKinney Ø 3 read & download review ô eBook or Kindle ePUB Ø Wes McKinney (E–pub READ) Python for Data Analysis

    free read Python for Data Analysis Wes McKinney Ø 3 read & download (E–pub READ) Python for Data Analysis A better title for this book might be Pandas and NumPy in ActionAs the creator of the pandas project a Python data analysis framework Wes McKinney is well placed to write this book His experience and vision for the pandas framework

  2. says: (E–pub READ) Python for Data Analysis

    (E–pub READ) Python for Data Analysis free read Python for Data Analysis It's hell of a book it took me a lot of time to get through but it was worth itTwo key points1 it's not time consuming because it's hard to comprehend or something uite the opposite but it's very practical examples examples examples so it barely makes any sense to read it while not being in front of the keyboard the check the stuff out2 people very differently understand terms like data analysis artificial intelligence machine

  3. says: free read Python for Data Analysis Wes McKinney Ø 3 read & download (E–pub READ) Python for Data Analysis

    Wes McKinney Ø 3 read & download (E–pub READ) Python for Data Analysis 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 dippe

  4. says: (E–pub READ) Python for Data Analysis Wes McKinney Ø 3 read & download review ô eBook or Kindle ePUB Ø Wes McKinney

    review ô eBook or Kindle ePUB Ø Wes McKinney Wes McKinney Ø 3 read & download (E–pub READ) Python for Data Analysis Good introduction to pandas data analysis library by its main contributor Wes McKinney Also covers useful Python toolslibraries for data analysis such as ipython and numpy Lots of examplesDidn't read the last three chapters on time series financial data analysis and advanced numpyIpython notebooks are available here for

  5. says: Wes McKinney Ø 3 read & download (E–pub READ) Python for Data Analysis

    Wes McKinney Ø 3 read & download (E–pub READ) Python for Data Analysis This book is a well written verbose introduction to Pandas by the main author of that library Don't expect to learn much besides Panda

  6. says: (E–pub READ) Python for Data Analysis

    free read Python for Data Analysis (E–pub READ) Python for Data Analysis This book is a reasonably comprehensive tutorial to pandas the Python library for data wrangling As a tutorial it works wellBut it wasn't uite what I was expecting I was expecting less tutorial and case studies taking meaningful datasets instead of makey upy ones and using pandas and other tools to pose and answe

  7. says: (E–pub READ) Python for Data Analysis

    Wes McKinney Ø 3 read & download review ô eBook or Kindle ePUB Ø Wes McKinney free read Python for Data Analysis Just a verbose documentation After a promising introduction showing several real world usages of data manipulation

  8. says: (E–pub READ) Python for Data Analysis

    free read Python for Data Analysis (E–pub READ) Python for Data Analysis review ô eBook or Kindle ePUB Ø Wes McKinney A good thorough introduction into using Python and in particular the numpy and pandas libraries for data analysis As with pretty much al books of this kind after a while the mixture of text and examples makes it hard to follow but then maybe it's not supposed to be read while sitting down in an armchair

  9. says: (E–pub READ) Python for Data Analysis

    (E–pub READ) Python for Data Analysis Selected notes • pickle is only recommended as a short term storage format The problem is that it is hard to guarantee that the format will be stable over time; an object pickled today may not unpickle with a later version of a libr

  10. says: free read Python for Data Analysis review ô eBook or Kindle ePUB Ø Wes McKinney Wes McKinney Ø 3 read & download

    free read Python for Data Analysis Wes McKinney Ø 3 read & download review ô eBook or Kindle ePUB Ø Wes McKinney 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 eg normalizing messy data and turning it into graphs and

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