Introduction to Data Science Using Python
No ratings
Afrand Agah, West Chester University
Copyright Year:
Publisher: The Pennsylvania Alliance for Design of Open Textbooks (PA-ADOPT)
Language: English
Formats Available
Conditions of Use
Attribution-NonCommercial
CC BY-NC
Table of 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
Ancillary Material
Submit ancillary resourceAbout the Book
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.
About the Contributors
Author
Afrand Agah, West Chester University