Python for data analysis : data wrangling with pandas, NumPy, and Jupyter /
McKinney, Wes
Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / Wes McKinney. - Third edition. - xvi, 561 pages illustrations 24 cm -
Previous edition: 2017. Includes index.
Includes bibliographical references and index.
Preliminaries -- Python language basics IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaing and preparation -- Data wrangling: join, combine, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Introduction to modeling libraries in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, 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. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." -- Provided by publisher
9781098104030 109810403X
2023549174
GBC2D5219 bnb
020700153 UK
Python (Computer program language)
Programming languages (Electronic computers)
Data mining
Exploration de données (Informatique)
Python (Langage de programmation)
Programming languages (Electronic computers)
Data mining
Python (Computer program language)
QA76.73.P98 / M42 2022
006.312 MCK
Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / Wes McKinney. - Third edition. - xvi, 561 pages illustrations 24 cm -
Previous edition: 2017. Includes index.
Includes bibliographical references and index.
Preliminaries -- Python language basics IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaing and preparation -- Data wrangling: join, combine, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Introduction to modeling libraries in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, 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. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." -- Provided by publisher
9781098104030 109810403X
2023549174
GBC2D5219 bnb
020700153 UK
Python (Computer program language)
Programming languages (Electronic computers)
Data mining
Exploration de données (Informatique)
Python (Langage de programmation)
Programming languages (Electronic computers)
Data mining
Python (Computer program language)
QA76.73.P98 / M42 2022
006.312 MCK