| Description |
xvi, 203 pages : illustrations : 25 cm |
| Note |
Includes bibliographical references (pages 185) index. |
| Summary |
"Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data. This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data. Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions, clustering, and decision trees). See how typical data analysis problems are handled. And try your hand at your own solutions to a variety of medium-scale projects that are fun to work on and look good on your resume"--Publisher's description. |
| Subject |
Python (Computer program language)
|
|
Computer programming.
|
| Added Author |
Dvorak, Katharine, editor.
|
| Note |
Data science essentials in Python |
| ISBN |
9781680501841 |
|
1680501844 |
|
More Resources