The O'Reilly (animal) book that is the essential reference to pandas and numpy, as used in iPython and Jupyter notebooks。 This book is a complete overview of the APIs and packages, hints and tips and some data
Python for Data Analysis的创作者· ··· Wes McKinney作者 作者简介· ··· Wes McKinney 资深数据分析专家,对各种Python库(包括NumPy、pandas、matplotlib以及IPython等)等都有深入研究,并在大量的实践中积累了丰富的经验。撰写了大量与Python数据分析相关的经典文章,被各大技术社区争相转载,是Python和开源技术社...
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Book description Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, 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....
View table of contents Preview Book Download Code Key benefits Prepare and clean your data to use it for exploratory analysis, data manipulation, and data wrangling Discover supervised, unsupervised, probabilistic, and Bayesian machine learning methods Get to grips with graph processing and sentim...
【Book Description】 Free PDF | Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on ...
NumPy, short for Numerical Python, is the fundamental package required for high performance scientific computing and data analysis. It is the foundation on which nearly all of the higher-level tools in this book are built. Here are some of the things it provides: ...
Book Data and Code Notebooks:https://github.com/wesm/pydata-book What's New in the 2nd Edition? Updated for Python 3.6 Updated for latest pandas (0.20.3) Revamped intro chapters including abridged Python language tutorial, and introductions to Jupyter and IPython ...
The 3rd edition ofPython for Data Analysisis now available as an “Open Access” HTML version on this sitehttps://wesmckinney.com/bookin addition to the usual print and e-book formats. This edition was initially published in August 2022 and will have errata fixed periodically over the coming...
Python for Data Analysisis 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...