Wes McKinney – författare

Visar alla böcker från författaren Wes McKinney. Handla med fri frakt och snabb leverans.

5 produkter

Kategorier

5 produkter

-10% student
Python for Data Analysis 3e
Data Wrangling with pandas, NumPy, and Jupyter
AvWes McKinney
Häftad, Engelska, 2022
671 kr
Skickas inom 5-8 vardagar
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 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, 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. 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 GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet 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
Python for Data Analysis
Data Wrangling with pandas, NumPy, and Jupyter
AvWes McKinney
E-bok
Engelska, 2022
732 kr
Läs direkt efter köp
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 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, 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. 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 GitHub.
Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet 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
Python for Data Analysis
AvWes McKinney
E-bok
PDF, Engelska, 2022
732 kr
Läs direkt efter köp
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 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, 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. 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 GitHub.
Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet 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
Datenanalyse mit Python
AvWes McKinney
Häftad, Tyska, 2023
522 kr
Skickas inom 3-6 vardagar
Python para análisis de datos
AvWes McKinney
E-bok
Spanska, 2023
280 kr
Läs direkt efter köp
Obtén el manual definitivo para manipular, procesar, limpiar y restringir conjuntos de datos en Python. Actualizado para Python 3.10 y pandas 1.4.0, esta tercera edición de Python para análisis de datos. Manipulación de datos con pandas, NyumPy y Jupyter está llena de casos prácticos, que permiten averiguar cómo resolver una amplia variedad de problemas de datos de una manera efectiva. Con su ayuda conocerás y aprenderás las versiones más recientes de pandas, NumPy, IPython y Jupyter.Escrito por Wes McKinney, el creador del proyecto pandas, Python para análisis de datos es una introducción práctica y moderna a las herramientas de ciencia de datos que ofrece Python. Es ideal para analistas no versados en Python y para programadores que deseen ponerse al día en ciencia de datos y computación científica o ciencia computacional. GitHub alberga los archivos de datos empleados en el libro y otro material asociado.Entre otras cosas, este libro permite:* Utilizar Jupyter Notebook y el shell de IPython para explorar datos.* Aprender funciones de NumPy básicas y avanzadas.* Iniciarse en el manejo de las herramientas de análisis de datos de la librería pandas.* Emplear herramientas flexibles para limpiar, transformar, combinar y remodelar datos.* Crear visualizaciones informativas con matplotlib.* Aplicar la función GroupBy de pandas para segmentar, desmenuzar y resumir conjuntos de datos.* Analizar y manipular series de datos temporales regulares e irregulares.* Aprender cómo resolver problemas reales de análisis de datos con ejemplos específicos y detallados.

Företag, bibliotek eller offentlig verksamhet?

Wes McKinney – författare

Python for Data Analysis 3e

Python for Data Analysis

Python for Data Analysis

Datenanalyse mit Python

Python para análisis de datos

Mina sidor

Mina sidor

Hjälp

Hjälp

Om Bokus

Om Bokus

Populärt

Populärt

Inspiration

Inspiration