Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps
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Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps
Learn Python and develop real-world data science projects with step-by-step instructions and curated topics and solutions.
Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps
Articolo #: 42719670

Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps

Articolo #: 42719670

€ 49

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Ordina subito e indossalo Mercoledì, Luglio 01
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Discover a fun and project-based way to learn Python 3 and build real-world applications. Visit Ubuy, a San Marino, for the best deals.
Item Weight1 lbs (450 grams)

DESCRIZIONE DEL PRODOTTO

Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps

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Domande e risposte dei clienti

  • domanda: What is 'Learn Python by Building Data Science Applications' about?

    Rispondere: This book is a project-based guide designed to teach readers how to learn Python 3 through the creation of real-world data science applications. It combines theory and practice, allowing you to grasp programming concepts while also getting hands-on experience. You will engage with practical projects, enhancing your understanding of Python programming in a relatable context, making it easier for beginners to learn and apply skills.
  • domanda: Who is the target audience for this book?

    Rispondere: This book caters to aspiring programmers, data enthusiasts, and beginners eager to learn Python programming within the realm of data science. It is particularly beneficial for readers with little or no prior coding experience, as it emphasizes practical, project-based learning. By following along with the hands-on projects, readers can build confidence and skill in Python, making it an ideal choice for students, professionals transitioning to coding, or anyone looking to enhance their programming abilities.
  • domanda: What kind of projects can I expect in this book?

    Rispondere: Readers can expect a variety of engaging projects focused on data science applications, such as data visualization tools, statistical analysis programs, or machine learning models. Each project is designed to provide a step-by-step guide, helping you understand the underlying principles of Python programming and data science concepts. By building these applications, you’ll not only learn to code but also gain valuable skills that can be applied in real-world scenarios, enhancing your career prospects.
  • domanda: Is prior knowledge of programming required to use this book?

    Rispondere: No prior programming knowledge is required to start this book. The author has structured the content to facilitate gradual learning, making it accessible for complete beginners. Each chapter builds on the last, introducing new concepts and technologies at a manageable pace. This approach fosters a supportive learning environment where readers can acquire programming skills at their own pace while developing real applications that reinforce their knowledge.
  • domanda: What programming frameworks or libraries will I learn about?

    Rispondere: Throughout the book, readers will encounter popular Python libraries and frameworks essential for data science. These may include libraries such as Pandas for data manipulation, Matplotlib for data visualization, and Scikit-learn for machine learning. Utilizing these tools will empower you to analyze data effectively and create complex applications. Familiarity with these libraries opens up new opportunities and equips you with essential skills for pursuing a career in data science or analytics.
  • domanda: How does this book differ from other Python learning resources?

    Rispondere: This book stands out by its unique emphasis on project-based learning, integrating practical application with theoretical concepts. While many resources take a traditional approach to teaching Python, this guide immerses readers in real data science projects that promote active learning. This combination ensures a deeper, more thorough understanding of the material as you apply the knowledge immediately, solidifying your grasp of Python and data science practices.
  • domanda: Can I use this book to prepare for data science certifications?

    Rispondere: Yes, using this book can provide a solid foundation for those considering data science certifications. Through its project-based approach, readers acquire the essential programming skills and practical knowledge necessary for various certifications. As you delve into real-world applications, you're also practicing crucial data science concepts, making this resource an excellent preparatory tool for those seeking formal qualifications or career advancement in the data science field.
  • domanda: Will I get support if I have questions while using the book?

    Rispondere: While the book itself may not offer direct support, many readers find online communities and forums beneficial for discussing concepts and sharing experiences. Platforms like Stack Overflow, Reddit, and specific data science forums can serve as excellent resources for connecting with other learners and finding answers to your questions. Engaging with these communities can greatly enhance your learning experience as you can exchange ideas and solutions with fellow Python enthusiasts.
  • domanda: Is this book suitable for both beginners and intermediate programmers?

    Rispondere: Yes, this book is designed to be inclusive for both beginners and intermediate programmers. Beginners will find the clear explanations and step-by-step projects very helpful, while intermediate learners can utilize the material to refine their skills and tackle new challenges. The author's practical approach provides a differentiated learning experience, allowing readers at various skill levels to benefit from their engagement with Python programming and data science.
  • domanda: Where can I buy 'Learn Python by Building Data Science Applications' in San Marino?

    Rispondere: You can purchase 'Learn Python by Building Data Science Applications' from Ubuy. Ubuy offers a streamlined shopping experience with competitive selection options. Browse through their extensive inventory to find the book and enjoy a convenient purchasing process tailored to your needs. Ubuy is known for its reliable service and efficient support, making it a great choice for acquiring this valuable learning resource.

Python Editorial Review

This book claims to be a beginner's guide to learning Python while building data science applications, but the author uses a complicated database about World War 2 battles and throws around terminology without adequately explaining it. The section on data cleaning using regex is also confusing. The book gets progressively more complicated from chapter 13 onwards, making it difficult for even experienced programmers to follow. However, some parts of the book are not bad, and the author includes smart coding. Unfortunately, some code in the book does not work, and the author does not respond to social media for help.

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Professionisti

  • Includes smart coding

Contro

  • Uses a complicated database and throws around terminology without adequate explanation

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€ 49

Ordina subito e indossalo Mercoledì, Luglio 01

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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.

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Caratteristiche e benefici

  • Build data science applications with Python and its data science ecosystem
  • Learn Python from basics to data analysis and machine learning
  • Create and package your code, test it with PyTest and deploy it with git