Art Nr.: 109810403X
ISBN 13: 9781098104030
Subtitle: Data Wrangling with Pandas, NumPy, and Jupyter
Release year: 2022
Published by: O'reilly Media
Edition: Taschenbuch
Cover: Taschenbuch
Cover Format: 232x176x31 mm
Pages: 561
Weight: 996 g
Language: Englisch
Author: Wes McKinney
Description 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. Information of Author Wes McKinney is a Nashville-based software developer and entrepreneur. After finishing his undergraduate degree in mathematics at MIT in 2007, he went on to do quantitative finance work at AQR Capital Management in Greenwich, CT. Frustrated by cumbersome data analysis tools, he learned Python and started building what would later become the pandas project. He's now an active member of the Python data community and is an advocate for the use of Python in data analysis, finance, and statistical computing applications. Wes was later the cofounder and CEO of DataPad, whose technology assets and team were acquired by Cloudera in 2014. He has since become involved in big data technology, joining the Project Management Committees for the Apache Arrow and Apache Parquet projects in the Apache Software Foundation. In 2018, he founded Ursa Labs, a not-for-profit organization focused Apache Arrow development, in partnership with RStudio and Two Sigma Investments. In 2021, he cofounded technology startup Voltron Data, where he currently works as the Chief Technology Officer. Kurzbeschreibung Titel: Python for Data Analysis, Untertitel: Data Wrangling with Pandas, NumPy, and Jupyter, Einband: Taschenbuch, Autor: Wes McKinney, Verlag: O'reilly Media, Sprache: Englisch, Seiten: 561, Maße: 232x176x31 mm, Gewicht: 996 g, Verkäufer: Wegmann1855, Schlagworte: Datenverarbeitung / Simulation Informatik Internet / Programmierung Programmiersprachen Data Mining (EDV) Informationsverarbeitung (EDV) Analyse / Datenanalyse Datenanalyse COMPUTERS / Databases / Data Mining COMPUTERS / Programming Languages / Python COMPUTERS / Data Visualization Powered by INFORIUS