Python for data science : a hands-on introduction /
Vasiliev, Yuli
Python for data science : a hands-on introduction / Yuli Vasiliev - San Francisco, California : No Starch Press, Inc., c2022 - xviii, 217 pages : illustrations ; 24 cm.
Includes index.
The basics of data -- Python data science libraries -- Accessing data from files and APIs -- Working with databases -- Aggregating data -- Combining data sets -- Creating visualizations -- Analyzing location data -- Analyzing time series data -- Gaining insight from data -- Machine learning for data analysis.
Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.
9781718502208
DATA MINING
QA 76.73.P98 .V37 2022
Python for data science : a hands-on introduction / Yuli Vasiliev - San Francisco, California : No Starch Press, Inc., c2022 - xviii, 217 pages : illustrations ; 24 cm.
Includes index.
The basics of data -- Python data science libraries -- Accessing data from files and APIs -- Working with databases -- Aggregating data -- Combining data sets -- Creating visualizations -- Analyzing location data -- Analyzing time series data -- Gaining insight from data -- Machine learning for data analysis.
Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.
9781718502208
DATA MINING
QA 76.73.P98 .V37 2022