# Epub Python for Data Analysis – learntopark.co.za

## FREE READ ´ PDF, DOC, TXT or eBook ô Wes McKinney

REVIEW ✓ Python for Data Analysis FREE READ ´ PDF, DOC, TXT or eBook ô Wes McKinney Of the Python pandas project this book is a practical modern introduction to data science tools in Python It's 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 is a well written verbose introduction to Pandas by the main author of that library Don t expect to learn much besides Pandas matplotlib gets a brief mention and there is a short Numpy section but broadcasting is relegated to an appendixThis book is a peer of Python Data Science Handbook by Jake VanderPlas and they are alike than different They both start with long sections on manipulating data in Numpy and Pandas on mostly made up examples of random numbers This book is the verbose of the two it does have complete coverage of Pandas functionality albeit less coverage of Numpy and it also takes longer to read It s only 4 stars because it s not very engaging I prefer a book like this to introduce some real data early and to motivate the learning of techniues by showing how it helps answer uestions in the data like R for Data Science doesI find that matplot

### SUMMARY Python for Data Analysis

REVIEW ✓ Python for Data Analysis FREE READ ´ PDF, DOC, TXT or eBook ô 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 You'll learn the latest versions of pandas NumPy IPython and Jupyter in the processWritten by Wes McKinney the creator. 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 is clear and he is able to explain the main function and inner workings of both pandas and another package NumPy very wellAlthough the title of the book suggests a broad look at the Python language for data analysis McKinney almost exclusively focuses on an in depth exploration of pandas The book started with a great deal of promise but as McKinney delved into the detail of NumPy and pandas the ideas and examples of data analysis are replaced with random number datasets The book became a tiresome parade of pandas feature after pandas feature Each example was stripped of meaning without any real world basis It would have been great to see re

**FREE READ ´ PDF, DOC, TXT or eBook ô Wes McKinney**

REVIEW ✓ Python for Data Analysis FREE READ ´ PDF, DOC, TXT or eBook ô 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 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