0 ratings
Data Science from Scratch: First Principles with Python
genuine image
Data Science from Scratch: First Principles with Python
Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch
Data Science from Scratch: First Principles with Python
Item #: 13218127

Data Science from Scratch: First Principles with Python

88% of respondents would recommend this to a friend

Item #: 13218127

€ 45

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from US

0 ratings Write a review
In stock
us Imported from USA store

QTY:

Order now and get it around Wednesday, October 07
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch
U-Care Warranty:
None
Select a Plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.

What Stands Out

Comprehensive Foundation
Covers essential principles of data science, making it suitable for beginners who want to grasp concepts from the ground up using Python programming.
Practical Application
Includes hands-on projects and examples, allowing readers to apply theory directly, enhancing understanding and retention of data science techniques.
Updated Content
The second edition features the latest trends and tools in data science, ensuring that readers gain relevant skills applicable in today’s job market.

Product Details

Discover the first principles of Data Science with Python. Get the 2nd edition of 'Data Science from Scratch' at Ubuy, your Slovakia.
  • Updated for Python 3.6, this second edition of Data Science from Scratch focuses on mastering data science tools and understanding the principles underlying them
  • Authored by Joel Grus, the book is designed to help readers with mathematics, statistics, and programming skills to get started as a data scientist
  • Includes new material on deep learning, statistics, and natural language processing
  • Provides a crash course in Python and covers the basics of linear algebra, statistics, and probability as used in data science
  • Teaches how to collect, explore, clean, and manipulate data, as well as dive into the fundamentals of machine learning and implement various models
  • Covers topics like recommender systems, natural language processing, network analysis, MapReduce, and databases
Publisher O'Reilly Media
Publication date June 11, 2019
Edition 2nd
Language English
Print length 403 pages
ISBN-10 1492041130
ISBN-13 978-1492041139
Item Weight 1.57 pounds (710 grams)
Dimensions 6.9 x 0.9 x 9.1 inches (17.5 x 2.3 x 23.1 cm)

Who Should Buy?

Suitable For
  • Beginner Data Scientists

    Ideal for individuals new to data science and programming, providing foundational knowledge and practical Python applications.

  • Self-Learners

    Great for self-taught learners looking to deepen their understanding of data science concepts through hands-on coding examples.

  • Python Enthusiasts

    Perfect for those familiar with Python who want to explore data science topics using a programming-first approach.

Not Suitable For
  • Advanced Practitioners

    Not suitable for experienced data scientists seeking advanced techniques or specialized methods beyond core concepts.

Product Description

Data Science from Scratch: First Principles with Python

About This Item

Are you interested in diving into the world of data science with Python? Look no further than "Data Science from Scratch: First Principles with Python 2nd Edition." This book is perfect for beginners who want to learn Python data science principles and techniques. Whether you're a student, a professional looking to upskill, or someone who simply has a passion for data analysis, this book is a must-have. The second edition offers updated material and a comprehensive introduction to data science concepts using Python. Learn how to harness the power of Python to extract insights from data and uncover patterns that will drive decision-making. With easy-to-follow explanations and step-by-step examples, you'll quickly gain a solid foundation in Python data science. The book covers a wide range of topics, including data visualization, statistical analysis, machine learning, and much more.

With its hands-on approach, you'll not only understand the theory behind data science but also apply it to real-world projects. Whether you're a complete beginner or already have some experience with Python, "Data Science from Scratch: First Principles with Python 2nd Edition" is written in a way that makes complex concepts accessible. You'll feel confident in your ability to tackle data science problems head-on. So, if you're ready to unlock the potential of Python for data science, order your copy of "Data Science from Scratch: First Principles with Python 2nd Edition" today. Start your journey to becoming a proficient Python data scientist and gain the skills needed to succeed in this rapidly growing field.

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What topics are covered in Data Science from Scratch: First Principles with Python 2nd Edition?

    Answer: This book covers a comprehensive range of topics essential for understanding data science, including statistics, data analysis, machine learning, and algorithm development. Readers will explore foundational concepts such as data representation, data cleaning, visualization techniques, and key machine learning algorithms. The insights provided equip readers with practical skills that can be applied in real-world scenarios, making it an excellent resource for both beginners and intermediate learners seeking to solidify their knowledge of data science with Python.
  • Question: Who is the author of Data Science from Scratch: First Principles with Python 2nd Edition?

    Answer: Data Science from Scratch: First Principles with Python 2nd Edition is authored by Joel Grus, a data scientist and educator. His expertise in the field and clear, engaging writing style make complex topics accessible to a broad audience. Grus combines theoretical insights with practical programming examples, which helps learners to not just understand concepts but also apply them effectively in their own projects and analyses.
  • Question: Is prior programming knowledge necessary to understand this book?

    Answer: While prior programming knowledge can be beneficial, it is not strictly necessary to grasp the concepts in this book. The author explains basic Python programming principles before delving into more complex data science topics. This approach makes the book suitable for readers who may have limited coding experience yet are eager to learn about data science. Beginners will find practical exercises that reinforce learning and facilitate skill development.
  • Question: Can I use this book to learn data science for machine learning purposes?

    Answer: Absolutely! Data Science from Scratch: First Principles with Python 2nd Edition provides a strong foundation in machine learning concepts and techniques. It includes a thorough exploration of algorithms like linear regression, decision trees, and neural networks, along with practical coding examples. This allows readers to learn how to implement machine learning models from the ground up, making it ideal for those looking to enter the machine learning field with a solid understanding of the underlying principles.
  • Question: Does this book contain practical examples and projects?

    Answer: Yes, this book is rich in practical examples and coding projects. Each chapter includes hands-on exercises that encourage readers to apply what they've learned to real-world problems. This practical approach ensures that learners not only absorb theoretical knowledge but also develop the ability to implement data science techniques in various contexts, enhancing their problem-solving skills and confidence in tackling data-driven challenges.
  • Question: What are the prerequisites for reading this book effectively?

    Answer: To effectively engage with Data Science from Scratch: First Principles with Python 2nd Edition, it is beneficial to have a basic understanding of mathematics, especially statistics and linear algebra. Familiarity with Python programming would also enhance the learning experience. However, the author explains concepts in a clear and approachable manner, allowing motivated learners to grasp the material even with minimal prior knowledge, making it a thoughtful choice for aspiring data scientists.
  • Question: Is this book suitable for professionals already in the data science field?

    Answer: Yes, this book is suitable for both newcomers and professionals in the data science field. For seasoned practitioners, it serves as a refresher on fundamental concepts and techniques that may have been overlooked in formal education. Additionally, it provides a hands-on approach to coding algorithms from scratch, which can deepen understanding and offer insights for more efficient workflow practices. Professionals will appreciate the blend of theory and practical application.
  • Question: How does this edition differ from the first edition?

    Answer: The 2nd Edition of Data Science from Scratch includes significant updates that enhance its value as a learning resource. It incorporates new content, refined explanations, and additional examples that reflect the latest trends and advancements in the field of data science. The author has also improved the organization and clarity of the material, making it easier for readers to follow along and apply the principles discussed. This ensures readers have the best possible learning experience with up-to-date practices.
  • Question: What is the learning approach used in the book?

    Answer: The learning approach in Data Science from Scratch is centered on a project-based methodology. Each chapter builds on previous content, combining theoretical explanations with hands-on coding exercises that empower readers to develop their own data science projects. Interactive learning is emphasized, where readers engage actively with the material, thereby solidifying their understanding through practice. This method is particularly effective for grasping complex concepts and encourages confident application of skills.
  • Question: Where can I buy Data Science from Scratch: First Principles with Python 2nd Edition in Slovakia?

    Answer: You can purchase Data Science from Scratch: First Principles with Python 2nd Edition from Ubuy. Ubuy offers a wide selection of books and educational resources, making it a convenient option for acquiring the title. It's an ideal platform as it facilitates access to learning materials that can help enhance your knowledge and skills in data science.

Statistics Editorial Review

Data Science from Scratch: First Principles with Python is a comprehensive guide designed for those with basic knowledge of Python and math looking to dive into data science. This book encompasses 27 chapters that cover essential concepts such as linear algebra, probability, and algorithms necessary for understanding machine learning. Readers appreciate the author's engaging writing style, his insightful humor, and the way he bridges the gap between theory and practical application. Although the book serves as a great entry point for beginners, some may find the content a bit dense if completely new to programming and math. Additionally, the tutorial on the Twitter API is outdated but still informative for learning API applications.

Customer Reviews & Ratings

1 customers ratings
  • 5 Star
    100%
  • 4 Star
    0%
  • 3 Star
    0%
  • 2 Star
    0%
  • 1 Star
    0%

Review this product

Share your thoughts with other customers

Pros

  • Great introduction for aspiring data scientists
  • Covers fundamental concepts in data science
  • Engaging writing style with humor
  • Clear explanations of Python coding
  • Bridges theory and practical application
  • Suitable for both beginners and advanced users

Cons

  • The monochrome format may not appeal to everyone

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 reviews
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Secure Checkout Global Delivery Easy Returns Genuine Products

Product Price History

Important information

  • Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
  • Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.

€ 45

Order now and get it around Wednesday, October 07

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Features & Benefits

  • Master not only the tools, but also understand the principles of data science
  • Learn Python, linear algebra, statistics, and probability
  • Explore machine learning models and techniques
  • Get updated material on deep learning and natural language processing

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.