Data Science from Scratch: First Principles with Python, 2nd Edition – Paperback by Joel Grus

Data Science from Scratch: First Principles with Python, 2nd Edition by Joel Grus is a practical introduction to the fundamental concepts and techniques of data science. Published by O’Reilly Media, this book helps readers understand how data science methods work by building core algorithms and tools from the ground up using Python.

The book explores essential topics such as data visualization, probability, statistics, linear algebra, hypothesis testing, machine learning, natural language processing, and neural networks. Through clear explanations and hands-on coding examples, readers learn how to implement important techniques and understand the mathematical principles behind them.

Rather than relying entirely on prebuilt libraries, the book emphasizes developing algorithms step by step. This approach helps readers build a stronger understanding of data analysis, predictive modeling, and machine learning while improving their Python programming and problem-solving skills.

Data Science from Scratch, 2nd Edition is suitable for programmers, students, aspiring data scientists, analysts, and self-learners who want to develop a solid foundation in data science and understand the methods behind common analytical tools.

Key Features

• Introduces fundamental data science concepts using Python.

• Covers probability, statistics, linear algebra, and hypothesis testing.

• Explores machine learning and predictive modeling techniques.

• Introduces data visualization and natural language processing.

• Explains core algorithms through practical coding examples.

• Supports hands-on learning and independent study.

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