Library Catalogue

Image from Google Jackets

Introduction to Data Science Using Python Afrand Agah

By: Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: Pennsylvania The Pennsylvania Alliance for Design of Open Textbooks (PA-ADOPT) [2024]Copyright date: ©2024Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • QA76
Online resources:
Contents:
Preface -- Installing Python -- Introduction to Programming -- Decision Structures -- Repetitions -- Functions -- Recursion -- File Access -- Lists -- Arrays -- Plotting Graphs -- Object Oriented Programming -- Using Python Packages -- Python and Graph Theory -- Python and Machine Learning -- Python and Statistics -- References -- Appendix
Subject: This book contains two parts, the first is designed to be used in an introductory programming course for students looking to learn Python, without having any prior experience with programming. Basic programming concepts are discussed, explained, and illustrated with a Python program. Ample programming questions are provided for practice. The second part of the book utilizes machine-learning concepts and statistics to accomplish data-driven resolutions. Python programs are provided to apply scientific computing to conclude statistically driven results.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Preface -- Installing Python -- Introduction to Programming -- Decision Structures -- Repetitions -- Functions -- Recursion -- File Access -- Lists -- Arrays -- Plotting Graphs -- Object Oriented Programming -- Using Python Packages -- Python and Graph Theory -- Python and Machine Learning -- Python and Statistics -- References -- Appendix

This book contains two parts, the first is designed to be used in an introductory programming course for students looking to learn Python, without having any prior experience with programming. Basic programming concepts are discussed, explained, and illustrated with a Python program. Ample programming questions are provided for practice. The second part of the book utilizes machine-learning concepts and statistics to accomplish data-driven resolutions. Python programs are provided to apply scientific computing to conclude statistically driven results.

Attribution-NonCommercial

In English.

Description based on print resource

There are no comments on this title.

to post a comment.

© 2024, Kenya Medical Training College | All Rights Reserved