Python for data analysis : Data Wrangling wit Pandas, NumPy, and IPython
McKinney, Wes
Python for data analysis : Data Wrangling wit Pandas, NumPy, and IPython Wes McKinney - 2nd Ed. - Beijing : O'Reilly, 2018 - 522 pages : ill.; 24 cm.
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 cleaning and preparation
Data wrangling: join, combine, and reshape
Plotting and visualization
Data aggregation and group operations
Time series
Advanced pandas
Introduction to modeling libraies in Python
Data analysis examples
Advanced NumPy
More on the IPython system
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. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process
9789352136414
Python (Computer program language)
Data mining
Programming languages (Electronic computers)
005.133 / MCK
Python for data analysis : Data Wrangling wit Pandas, NumPy, and IPython Wes McKinney - 2nd Ed. - Beijing : O'Reilly, 2018 - 522 pages : ill.; 24 cm.
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 cleaning and preparation
Data wrangling: join, combine, and reshape
Plotting and visualization
Data aggregation and group operations
Time series
Advanced pandas
Introduction to modeling libraies in Python
Data analysis examples
Advanced NumPy
More on the IPython system
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. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process
9789352136414
Python (Computer program language)
Data mining
Programming languages (Electronic computers)
005.133 / MCK