Python for Data Analysis - Data Wrangling with Pandas, NumPy, and IPython.pdf

Python for Data Analysis - Data Wrangling with Pandas, NumPy, and IPython PDF

Wes McKinney

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. Youll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator 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 GitHub. Use the IPython shell and Jupyter Notebook for exploratory computing. Learn basic and advanced features in NumPy (Numerical Python). Get started with data analysis tools in the pandas library. Use flexible tools to load, clean, transform, merge, and reshape data. Create informative visualizations with matplotlib. Apply the pandas groupby facility to slice, dice, and summarize datasets. Analyze and manipulate regular and irregular time series data. Learn how to solve real-world data analysis problems with thorough, detailed examples.

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2.89 MB Taille du fichier
9781491957660 ISBN
Python for Data Analysis - Data Wrangling with Pandas, NumPy, and IPython.pdf

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Sofya Voigtuh

Python for Data Analysis: Data Wrangling with … 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

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Mattio Müllers

Python for Data Analysis: Data Wrangling with …

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Noels Schulzen

... Analyse de données en Python - Manipulation de données avec pandas, NumPy et IPython par Wes ... Un livre de référence pour les développeurs big data.

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Jason Leghmann

Python for Data Analysis Data Wrangling with …

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Jessica Kolhmann

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython. Python For Data Analysis Data Wrangling With …