Python for Data Science
Abstract
This book, Python for Data Science, is designed to provide a comprehensive and practical introduction to using Python for data analysis, visualization, and predictive modeling. It focuses on building a strong foundation in Python programming while progressively introducing essential data science concepts and tools such as NumPy, pandas, Matplotlib, Seaborn, and basic machine learning techniques. Emphasis is placed on hands-on examples, real-world datasets, and step-by-step explanations to help learners develop analytical thinking and problem-solving skills.
Fields of Study & Subjects
Computational Physics and Python Applications
Data Analysis with R
Multidisciplinary Science and Engineering Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026
- Document type
- Book