Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips
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Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips
Learn Python programming and data science with this comprehensive book collection
Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips
Numéro d'article: 45372611

Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with

90% des répondants recommanderaient ceci à un ami

Numéro d'article: 45372611

XOF 22922

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Ce qui se démarque

Comprehensive Content
This book combines Python programming and data science essentials, providing beginners with a complete guide to mastering both disciplines in an engaging, easy-to-follow format.
Practical Examples
Packed with real-world examples and practical tips, this resource helps learners grasp coding concepts quickly, ensuring immediate application of skills in coding projects and data analysis.
Dual Learning Approach
By offering two books in one, it efficiently addresses both programming and data science, saving time and resources while equipping readers with a versatile skill set for the tech industry.

Détails du produit

Learn Python coding fast with examples and tips. Master the basics of Python language programming and data science with this comprehensive guide. Shop now at Ubuy Mali!
  • Includes 2 books: Python Programming for Beginners and Data Science with Python
  • Covers basic Python coding, data types, operators, loops, functions, and more in the Python Programming for Beginners book
  • Provides real-world examples and tips, and addresses common programming challenges
  • Data Science with Python book covers data science basics, Python libraries, applications, data cleaning, and visualization
  • Discusses data science lifecycle, probability, statistics, comparison of Python with other languages, and data preparation
  • Offers comprehensive guidance for beginners to learn Python for data science
Publisher Independently published
Publication date May 4, 2021
Language English
Print length 348 pages
ISBN-13 979-8748659369
Item Weight 1.03 pounds (470 grams)
Dimensions 6 x 0.79 x 9 inches (15.2 x 2 x 22.9 cm)

À qui est-ce destiné ?

Suitable For
  • Complete Newbies

    Ideal for individuals with no prior programming knowledge looking to learn Python from the ground up.

  • Aspiring Data Scientists

    Great for those interested in data science who want to learn Python basics and practical applications quickly.

  • Self-learners

    Suitable for motivated learners who prefer a structured, example-driven approach to coding and data science.

Not Suitable For
  • Experienced Coders

    Not suitable for individuals with prior programming experience who seek advanced Python concepts and techniques.

DESCRIPTION DU PRODUIT

Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips

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Questions et réponses des clients

  • question: What topics are covered in 'Python For Beginners. 2 Books in 1'?

    répondre: This comprehensive guide covers essential topics in Python programming and data science, making it a complete resource for beginners. It starts with the basics of Python language syntax, control structures, functions, and data types. The second part delves into data science fundamentals, including data manipulation, analysis, and visualization techniques. This structured approach provides a solid foundation for anyone looking to delve into programming and data science.
  • question: Who is this book intended for?

    répondre: This book is tailored for complete beginners and those looking to enhance their programming skills in Python. Whether you are a student, professional, or hobbyist, this guide simplifies complex concepts and provides practical examples. It is particularly useful for individuals seeking a foundational understanding of programming and interested in data science applications.
  • question: How can this book help with learning data science?

    répondre: The data science section of this book provides critical insights into data analysis techniques, including working with libraries such as Pandas and Matplotlib. It emphasizes hands-on learning through examples and exercises, allowing readers to apply concepts to real-world scenarios. This practical approach equips beginners with the skills to analyze datasets and derive meaningful insights, forming a strong base for further exploration in data science.
  • question: Is prior programming experience required to use this book?

    répondre: No prior programming experience is needed to benefit from this book. It is designed to introduce programming concepts from the ground up, using simple language and clear explanations. Beginners can start learning without feeling overwhelmed, as each chapter builds on previous knowledge. This ensures a gradual learning curve toward mastering Python and applying it to data science.
  • question: What is the expected outcome after reading this book?

    répondre: By completing this book, readers can expect to have a solid understanding of Python programming fundamentals and how to apply those skills in data science. They will be able to write Python scripts, manipulate data, and create visualizations effectively. This foundation can lead to opportunities in programming, software development, or data analysis roles, making it a valuable asset for career advancement.
  • question: Are there practice exercises in the book?

    répondre: Yes, the book includes a variety of practice exercises and coding challenges at the end of each chapter. These activities reinforce learning and allow readers to apply what they've learned in practical situations. Engaging in these exercises helps solidify concepts and boosts confidence in using Python to solve programming and data science problems.
  • question: What programming libraries are introduced in this book?

    répondre: The book introduces essential libraries such as NumPy for numerical computations, Pandas for data manipulation, and Matplotlib for data visualization. Each library is explained in context, with examples demonstrating its strengths and applications. Mastery of these libraries is crucial for pursuing data science, as they are widely used in the industry.
  • question: Can this book be utilized for self-study?

    répondre: Absolutely! This book is well-structured for self-study, providing a comprehensive guide that can be followed at your own pace. The clear explanations and step-by-step instructions make it suitable for individual learners. Whether you are preparing for a career change or expanding your skill set, you'll find the book's format supportive and accessible.
  • question: What is the format of the book?

    répondre: The book is available in both print and digital formats, providing flexibility based on your preference. The print version allows for easy note-taking and referencing, while the digital edition offers the convenience of accessibility on multiple devices. Both formats are designed to enhance the learning experience through well-organized content and engaging visuals.
  • question: Where can I buy 'Python For Beginners. 2 Books in 1'?

    répondre: You can purchase 'Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science' on Ubuy Mali. Their platform offers a variety of purchasing options, ensuring that you can easily find the book and start your journey in coding and data science.

Software Development Editorial Review

This book is a useful resource for anyone looking to learn Python programming language. The first book covers Python's functions and uses, as well as its real-life applications. While the author writes in an easy-to-understand manner, some more graphics would have been helpful. The second book focuses on Python in data analysis and also compares it to other popular programming languages. Overall, the book is deemed informative and will help readers master Python programming. However, some readers wished for more practice exercises.

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Avantages

  • Covers both the basics and real-life applications of Python
  • Easy to understand writing style
  • Provides examples and tips for practice

Les inconvénients

  • Lacks graphics

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Caractéristiques et avantages

  • 2 books in 1: Python Programming for Beginners and Data Science with Python
  • Step-by-step guides to learn the basics of Python and its applications in data science
  • Learn coding fast with examples and tips included
  • Covered topics include data types, operators, loops, functions, file handling, and more
  • Explore real-world examples and common programming challenges
  • Gain in-depth knowledge of data science, including data cleaning, visualization, and analysis

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