This is a paper back book: Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Bestandsnummer des Verk�ufers 3O6XBG000XZK_ns

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
Verlag: O'Reilly Media
Erscheinungsjahr: 2022
Sprache: Englisch
ISBN-10: 109810403X
ISBN-13: 9781098104030
Einband: Softcover
Auflage: 3. Auflage
Zustand: Acceptable

�ber diesen Titel

Inhaltsangabe

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 computing
Learn basic and advanced features in NumPy
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

�ber die Autorin bzw. den Autor

Wes McKinney is an open source software developer focusing on data analysis tools. He created the Python pandas project and is a co-creator of Apache Arrow, his current development focus. He authored 2 editions of the reference book Python for Data Analysis. Wes is a Member of The Apache Software Foundation and also a PMC member for Apache Parquet. He is the director of Ursa Labs, an not-for-profit development group focused on data science tools for Python and R powered by Apache Arrow, built in partnership with RStudio. Previously, he worked for Two Sigma, Cloudera, and AQR Capital Management, and he was co-founder and CEO of the startup DataPad.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

About us Our Mission: Goodwill changes lives every day by empowering people to increase their independence and reach their potential through education, health and employment. Our services include: Tuition-free, charter high school for grades 9-12 for students experiencing barriers to education. Tuition-free, charter high schools for adults that focuses on removing barriers to education by offering students flexible scheduling, tutoring, life coaching, child care, transportation, college credits and other resources. Direct hiring for Goodwill jobs, especially for job-seekers with employment barriers like a disability, criminal history or limited education. Job readiness, training and placement for individuals with barriers. Pre-natal and maternal health, parenting skills, child development and school readiness. Connections to resources for transportation, housing, child care, financial literacy and more. A child development center and preschool for children ages six weeks to five years.

Zur Homepage des Verk�ufers