Elements of Data Science (Allen B. Downey)

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Elements of Data Science (Allen B. Downey)

For those without any programming knowledge, this book serves as an introduction to data science. The objective is to present a compact, potent subset of Python that enables you to perform practical data science work as soon as feasible.

It makes no assumptions regarding the reader's knowledge of programming, statistics, or data science. It makes an immediate effort to define any terms it employs, just as it does when using programming features.

Jupyter notebooks are used to create this book. You don't need to install any software because Jupyter is a software development tool that can be used in a web browser. Text, Python code, and results are all contained in a Jupyter notebook. As a result, you may read it like a book while concurrently editing the code, running it, creating new applications, and testing them.

Ebook Details

About the Authors
An American computer scientist who teaches computer science at the Franklin W. Olin College of Engineering is Allen B. Downey.
CC BY-NC 4.0
eBook Format

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