# Free Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython BY Wes McKinney

- Paperback
- null
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
- Wes McKinney
- English
- 03 April 2019
- B075X4LT6K

## Wes McKinney ¹ 5 Download

Download Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython é PDF, eBook or Kindle ePUB free Summary Ì PDF, eBook or Kindle ePUB free ¹ Wes McKinney 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 This book falls somewhere between a manual page providing one example per function and a cookbook tending toward the former Examples are dry and most are constructed using random data There is very little in the way of practical use cases I bought the book hoping to get some inspiration for using numpy andor pandas for some types of analyses I find myself doing but that didn t happen Probably I ve gathered enough overview that I now can put together useful ueries that will provide useful hits on Stack Exchange I wish I had better to say The Conductor 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 This book falls somewhere between a manual page providing one example per function and a cookbook tending toward the former Examples are dry and most are constructed using random data There is very little in the way of practical use cases I bought the book hoping to get some inspiration for using numpy andor pandas for some types of analyses I find myself doing but that didn t happen Probably I ve gathered enough overview that I now can put together useful ueries that will provide useful hits on Stack Exchange I wish I had better to say

### Summary Ì PDF, eBook or Kindle ePUB free ¹ Wes McKinney

Download Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython é PDF, eBook or Kindle ePUB free Summary Ì PDF, eBook or Kindle ePUB free ¹ Wes McKinney 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 This book has been my foundation of using python as a data analystThis book primarily focuses on the pandas Python library which is awesome at processing and organizing data Python pandas is like MS Excel times 100 This is not an exaggeration It also introduces the reader into numpy lower level number crunching and arrays matplotlib data visualizations scikitlearn machine learning and other useful data science libraries The book contains other book recommendations for continuing educationAlthough this would be a challenging book for a brand new Python user I would still recommend it especially if you are currently doing a lot of work in MS Excel and or exporting data from databases I had a few false starts learning Python and my biggest stumbling block was lack of application in what I was learning This book puts practical tools in the reader s hands very uickly I personally don t have time to make goofy games etc that other books have used as practice examples Despite other reviews criticizing the use of random data throughout the book I found the examples easy to follow and useful I would also argue that learning how to generate random data is useful in itself thus the purpose of the numpy random library and that there are practical examples throughout the book Chapter 14 devoted to real world data analysis examplesI am almost finished with my second time through the book this time working through every example This book has been well worth the hours spent in it For context I previously relied on Excel SL and some AutoHotKey This book has significantly improved how I workThanks Wes and team

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

Download Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython é PDF, eBook or Kindle ePUB free Summary Ì PDF, eBook or Kindle ePUB free ¹ Wes McKinney 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 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 beginner It also gives very good introductions to numpy pandas matplotlib and seaborn I had not heard of the latter so the book was of great value there However all of these libraries are huge pandas alone is massive This leaves the author being stuck in terms of how deep to go Some areas are well covered and others are just skimmed over forcing you to look deeper on the internet Adding to the problem is that these libraries are being continually updated I was left with a growing feeling that books like this are becoming redundant There is so much free material online now that if someone stole this book from me it would not make a jot of difference