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PYTHON: 2 books in 1 : Learn python programming for beginners and machine learning
PYTHON: 2 books in 1 : Learn python programming for beginners and machine learning
Learn Python programming for beginners and machine learning
PYTHON: 2 books in 1 : Learn python programming for beginners and machine learning
Item #: 41283818

PYTHON: 2 books in 1 : Learn python programming for beginners and machine learning

Item #: 41283818

€ 33

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What Stands Out

Comprehensive Learning
This dual-focused book offers a complete introduction to Python programming and machine learning, making it ideal for beginners eager to grasp both foundational coding concepts and advanced data analysis techniques.
Practical Applications
Readers will engage in practical exercises that reinforce learning, bridging the gap between theoretical knowledge and real-world applications in programming and machine learning, enhancing problem-solving skills.
Accessible Format
The paperback format and clear structure make this book user-friendly, allowing readers to easily navigate topics and build confidence in their programming and machine learning abilities at their own pace.

Product Details

Explore Python programming for beginners and machine learning with our comprehensive selection of books. Available in paperback. Shop now at Ubuy Slovakia.
  • Book bundle containing 'Learn Python Programming for Beginners' and 'Python Machine Learning'
  • Covers Python programming from basics to advanced concepts
  • Provides insights into machine learning, artificial intelligence, and deep learning using Python
  • Includes topics like Python installation, advantages, and disadvantages, as well as applying machine learning in the real world
  • Aims to enhance programming skills, problem-solving abilities, and confidence
  • Intended for individuals seeking to master machine learning and Python programming
Publisher Independently published
Publication date October 28, 2020
Language English
Print length 241 pages
ISBN-13 979-8691155918
Dimensions 6 x 0.55 x 9 inches (15.2 x 1.4 x 22.9 cm)
Package Weight1.0 Pound

Who Should Buy?

Suitable For
  • Beginner Programmers

    Ideal for those just starting out, providing a foundational understanding of Python programming basics.

  • Data Enthusiasts

    Great for individuals interested in data science and machine learning, offering essential skills and concepts.

  • Self-Learners

    Perfect for self-motivated learners looking for a structured guide to master Python and machine learning.

Not Suitable For
  • Experienced Developers

    Not suitable for those with advanced programming skills, as content may be too basic and unchallenging.

Product Description

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What topics are covered in 'PYTHON: 2 books in 1'?

    Answer: The book covers foundational concepts in Python programming tailored for beginners as well as advanced topics in machine learning. It starts with the basics of Python, including data types, control structures, and functions. Following that, it delves into machine learning concepts like supervised and unsupervised learning, algorithms, and real-world applications. This comprehensive approach makes it suitable for readers seeking to build a solid coding foundation while also exploring AI-related pursuits.
  • Question: Is this book suitable for complete beginners?

    Answer: Yes, this book is particularly designed for complete beginners in programming. It introduces essential programming concepts and gradually progresses to more complex topics, ensuring a smooth learning curve. Readers will benefit from hands-on examples and exercises that reinforce key concepts. This makes it an ideal choice for individuals who are new to coding and want to gain a robust understanding of Python and its applications in machine learning.
  • Question: Can this book help me prepare for a career in data science?

    Answer: Absolutely! This book provides a fundamental understanding of Python, which is a crucial programming language in data science and machine learning. By mastering the material in this book, you will acquire the necessary skills to tackle data manipulation, analysis, and machine learning tasks. It equips you with a strong programming foundation and practical knowledge needed to pursue a career in data science.
  • Question: Are there any prerequisites for understanding the content?

    Answer: There are no formal prerequisites for this book, making it accessible to anyone interested in learning Python and machine learning. Basic computer literacy and a willingness to learn are all that are required. The text is structured to guide you step-by-step, so you won’t feel overwhelmed, and it encourages exploration and practice, which are essential for effective learning.
  • Question: What formats is this book available in?

    Answer: The 'PYTHON: 2 books in 1' is available in paperback format, providing a tangible option for readers who prefer physical books. The paperback format allows for easy bookmarking, highlighting, and note-taking, which can enhance the learning experience. This makes the book an excellent resource for both casual readers and serious learners wanting a hands-on approach.
  • Question: Does this book include practical exercises or projects?

    Answer: Yes, the book includes practical exercises and projects designed to reinforce the concepts presented. These exercises range from simple coding challenges to more complex projects that apply machine learning techniques. Engaging with these tasks helps solidify knowledge and improves problem-solving skills, preparing readers to tackle real-world programming and data challenges.
  • Question: What is the target audience for this book?

    Answer: The target audience for this book includes complete beginners, students, and professionals looking to enhance their programming skills or transition into data science. Its dual focus on Python programming and machine learning makes it relevant for individuals exploring career transition or anyone aiming to improve their technical skill set for better job opportunities in a tech-driven market.
  • Question: How is the content structured in the book?

    Answer: The book is structured into two main sections, with the first focusing on Python programming fundamentals and the second dedicated to machine learning concepts and methodologies. Each section progresses logically, building on the knowledge established earlier. The clear arrangement allows for incremental learning, making it a seamless journey through both subjects.
  • Question: Are there any online resources that accompany the book?

    Answer: While the book itself does not specify accompanying online resources, many readers find supplementary materials such as forums and online tutorials beneficial for additional learning. Engaging with online communities can enhance understanding and provide answers to common queries and coding dilemmas, effectively complementing the knowledge gained from the book.
  • Question: Where can I buy 'PYTHON: 2 books in 1' in Slovakia?

    Answer: You can buy 'PYTHON: 2 books in 1' at Ubuy, which is an excellent platform for purchasing books and offers a wide selection. Ubuy provides a user-friendly shopping experience, making it easy to find and order this comprehensive resource on Python programming and machine learning in Slovakia.

Introductory & Beginning Editorial Review

PYTHON: 2 books in 1 : Learn python programming for beginners and machine learning is an excellent resource, particularly for those starting out in coding. The book's structured approach begins with foundational concepts before delving into more advanced topics like machine learning, which several readers found particularly useful. With clear explanations and practical exercises, it effectively demonstrates how Python is relevant in real-world applications. Additionally, it covers installation across various platforms, ensuring a comprehensive learning experience. Readers appreciate the author’s focus on engaging beginners and gradually introducing complex ideas, making it a suitable choice for all skill levels.

Customer Reviews & Ratings

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Pros

  • Easy to follow for beginners
  • Covers machine learning applications
  • Includes real-world examples
  • Structured and gradual learning path
  • Detailed installation guidance

Cons

  • Some content may feel repetitive for advanced learners

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