---
product_id: 433304264
title: "Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python"
price: "13992 som"
currency: KGS
in_stock: true
reviews_count: 11
url: https://www.desertcart.kg/products/433304264-practical-linear-algebra-for-data-science-from-core-concepts-to
store_origin: KG
region: Kyrgyzstan
---

# Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

**Price:** 13992 som
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
- **How much does it cost?** 13992 som with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.kg](https://www.desertcart.kg/products/433304264-practical-linear-algebra-for-data-science-from-core-concepts-to)

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## Description

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Review: Quality in the physical book and the content. - I love this book. Very well presented information. It also has a companion GitHub repo to help with the code, and YouTube videos by the author. I only completed Algebra in school and appreciate how it stepped me through some complex ideas. As usual with O'Reilly books, the quality of the book is very good, from typography to the paper used. It feels good in the hand. I love O'Reilly books.
Review: Great if you like math, very very clear - Love this book, the author is very responsive to questions too and there is a whole series he made on YouTube going over the answers to the chapter questions. One of the most if not the most approachable and practical introductions to linear algebra I’ve seen, also you will get better at python and numpy.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #346,546 in Books ( See Top 100 in Books ) #30 in Linear Algebra (Books) #92 in Data Processing #863 in Computer Science (Books) |
| Customer Reviews | 4.5 4.5 out of 5 stars (73) |
| Dimensions  | 7 x 0.5 x 9.25 inches |
| Edition  | 1st |
| ISBN-10  | 1098120612 |
| ISBN-13  | 978-1098120610 |
| Item Weight  | 2.31 pounds |
| Language  | English |
| Print length  | 326 pages |
| Publication date  | October 11, 2022 |
| Publisher  | O'Reilly Media |

## Images

![Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python - Image 1](https://m.media-amazon.com/images/I/814CM63pqeL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Quality in the physical book and the content.
*by D***F on November 23, 2025*

I love this book. Very well presented information. It also has a companion GitHub repo to help with the code, and YouTube videos by the author. I only completed Algebra in school and appreciate how it stepped me through some complex ideas. As usual with O'Reilly books, the quality of the book is very good, from typography to the paper used. It feels good in the hand. I love O'Reilly books.

### ⭐⭐⭐⭐⭐ Great if you like math, very very clear
*by K***R on May 28, 2025*

Love this book, the author is very responsive to questions too and there is a whole series he made on YouTube going over the answers to the chapter questions. One of the most if not the most approachable and practical introductions to linear algebra I’ve seen, also you will get better at python and numpy.

### ⭐⭐⭐⭐⭐ Made Math Fun
*by N***S on February 24, 2024*

The author did an excellent job with making the material in the book fun and engaging. You can tell that the words he used in the book are made to sound like he's talking to you to in person. He comes across as knowledgeable about the topic and that the material is genuinely fun for him. I also liked his use of repetition in the concepts. He quite often reiterated points made in previous sections which was refreshing for a beginner/intermediate like myself so that I didn't have to continually flip back and forth while moving through the book. He also used paired visual graphs/cues and code exercises to drive home the absolute core concepts of linear algebra and their use in data science. My only mild complaint/con of the book was that I wish he added more code exercises that acted as practice for the concepts listed. Instead of many different combinations of numbers for practicing the material in the real world, the code exercises were more of a helpful side bar by explaining concepts in more detail. For example in the matrix-vector multiplication section, the only related code exercises are about the actual equation/themes itself instead of different combinations of vectors and matrices for practical, hands-on practice. Overall, I enjoyed reading and learning from this book and would recommend it to a fellow colleague/friend and would buy from this author again in the future.

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*Product available on Desertcart Kyrgyzstan*
*Store origin: KG*
*Last updated: 2026-05-21*