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Intro to Python for Computer Science and Data Science

Author: Paul Deitel, Harvey Deitel
Binding: Paperback
Paper Quality: Black White Paper
Category: Computer Science / Data Science / Programming
Recommended For: Students of computer science, beginner programmers, data science learners, and educators teaching Python.

  • Hands-On Python Programming – Introduces Python with practical examples, focusing on real-world applications in computer science and data science.

  • Integrated Approach – Combines fundamentals of Python programming with core concepts in data science including data analysis, visualization, and machine learning.

  • Beginner-Friendly – Designed for readers with little to no programming background; explains each concept step-by-step.

  • Rich in Examples – Includes numerous coding examples, case studies, and exercises that reinforce learning and encourage experimentation.

  • Covers Key Technologies – Introduces popular libraries like pandas, NumPy, matplotlib, scikit-learn, and TensorFlow.

  • Academic & Professional Utility – Suitable for university courses and self-study alike, bridging the gap between theoretical learning and industry-relevant skills.

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