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Python for Everybody: Exploring Data in Python 3
STD 835278
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Python for Everybody: Exploring Data in Python 3 is a comprehensive guide designed to introduce students to programming and software development by exploring data using Python.
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Detalhes do produto
- Introduces students to programming and software development through data exploration
- Teaches Python as a tool to solve data problems beyond spreadsheet capabilities
- Python is freely available on Macintosh, Windows, or Linux computers
- Uses the Python 3 language
- Offers free downloadable electronic copies in various formats and supporting materials
- Course materials available under a Creative Commons License for adaptation
| Item Weight | 1 lbs (450 grams) |
Quem Deverá Comprar?
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Beginners in Programming
Ideal for individuals new to coding, offering a clear and engaging introduction to Python and data analysis.
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Data Science Aspirants
Students interested in data science will find foundational skills in data manipulation and analysis beneficial for their careers.
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Lifelong Learners
Perfect for those who love learning new skills, providing practical examples and hands-on projects for effective understanding.
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Advanced Programmers
Not suitable for experienced developers seeking advanced Python techniques or complex data analysis concepts.
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Corporate Training Needs
Organisations looking for tailored corporate training might find this book too broad for specific business applications.
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People with No Interest
Individuals lacking interest in coding or data analysis will likely not engage with the content or benefit from it.
DESCRIÇÃO DO PRODUTO
Python for Everybody: Exploring Data in Python 3
Perguntas e Respostas dos Clientes
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pergunta:
What is 'Python for Everybody: Exploring Data in Python 3' about?
Resposta: 'Python for Everybody: Exploring Data in Python 3' is an educational resource designed to teach the fundamentals of programming using Python, focusing on data handling and analysis. This book caters to beginners and those new to programming, offering a hands-on approach to learning how to work with data. It introduces concepts like data structures, database access, and the basics of understanding data, making it invaluable for students, professionals, and hobbyists who wish to deepen their data analysis skills. -
pergunta:
Who is the intended audience for this book?
Resposta: The book is tailored primarily for beginners and non-programmers who wish to learn about data analysis using Python. It's perfect for students, educators, and professionals looking to acquire programming skills without requiring a strong computing background. The approachable writing style and practical exercises make it suitable for anyone interested in expanding their knowledge of data science and programming in Python, regardless of their prior experience. -
pergunta:
Does this book require prior programming experience?
Resposta: No, 'Python for Everybody: Exploring Data in Python 3' is explicitly designed for individuals with little to no programming experience. The author emphasizes a simplistic approach, gradually introducing coding concepts and building upon them. It guides readers through coding exercises and practical examples, making it manageable for complete novices to grasp programming fundamentals. Consequently, it serves as an effective stepping stone for those who aspire to learn Python programming. -
pergunta:
What topics are covered in this book?
Resposta: The book covers a vast range of topics within the realm of data analysis using Python. Key subjects include data types, variables, conditional statements, loops, functions, and file handling. Additionally, it explores libraries essential for data manipulation and analysis, such as Pandas and SQLite. This comprehensive approach ensures that readers develop a solid understanding of how to utilize Python for real-world data applications, which is crucial for anyone looking to pursue a career in data science or analysis. -
pergunta:
How can I apply what I learn from this book in real life?
Resposta: Upon mastering the content of 'Python for Everybody: Exploring Data in Python 3', readers can apply their knowledge to various fields such as data analysis, research, web development, and machine learning. For instance, professionals can analyze large datasets in their industries, create informative data visualizations, or automate repetitive tasks. Additionally, educators can use the insights gained to enhance their teaching methodologies or incorporate programming into their curricula, making it a valuable asset for personal and professional development. -
pergunta:
Are there any supplementary resources available?
Resposta: Yes, alongside 'Python for Everybody: Exploring Data in Python 3', the author provides a plethora of supplementary resources, including online courses, video lectures, and practice exercises. These resources enhance the learning experience by allowing readers to practice coding skills interactively. Websites hosting coding challenges, such as Codecademy or LeetCode, can also complement the book's teachings, providing a well-rounded educational experience in Python programming and data analysis. -
pergunta:
Can I find solutions for the exercises in this book?
Resposta: Typically, 'Python for Everybody: Exploring Data in Python 3' includes a solutions manual or online resources where readers can check their answers to exercises. This feature is crucial for self-learners, allowing them to assess their understanding of the material. Access to solutions not only aids readers in verifying correct answers but also helps in grasping concepts they may find challenging, thus reinforcing their overall learning experience. -
pergunta:
What is the best way to work through this book?
Resposta: The most effective way to engage with 'Python for Everybody: Exploring Data in Python 3' is to follow a structured approach. Begin by closely reading each chapter, then actively participate in the hands-on coding exercises provided. Supplement your learning by experimenting with your own datasets and problems. Collaborating with peers or joining online forums dedicated to Python programming can further enhance your understanding, as discussing concepts can lead to better retention and mastery of the material. -
pergunta:
Is the book suitable for self-study?
Resposta: Absolutely! 'Python for Everybody: Exploring Data in Python 3' is an excellent choice for self-study, as it is structured with clear explanations, practical exercises, and a gradual progression through topics. Learners can set their own pace, experimenting with Python code while applying concepts to real-world scenarios. The book's approachable format makes it an ideal resource for individuals who prefer to learn independently, allowing for flexibility in when and how they study. -
pergunta:
Where can I buy 'Python for Everybody: Exploring Data in Python 3' in São Tomé and Príncipe?
Resposta: You can buy 'Python for Everybody: Exploring Data in Python 3' from Ubuy, a reliable online platform that offers a wide range of books and educational resources. With user-friendly navigation and an array of purchasing options, Ubuy provides customers in São Tomé and Príncipe with an efficient way to acquire this essential programming book and start their journey in learning Python and data analysis.
Python Editorial Review
Python for Everybody: Exploring Data in Python 3 is a comprehensive textbook that explains important terms in Python programming language with an introduction to storage format, classes, and objects. It teaches the tougher concepts in a data-driven methodology. Dr. Chuck Severance covers the language's anatomy and urges the reader to create while providing all the test questions and solutions available online. The book is the most comprehensive cover of Python 3, and the author's Coursera classes are well known, and this book complements his course nicely.
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Prós
- Comprehensive cover of Python 3
- Dr. Chuck Severance's data-driven methodology
- Contains online test questions and solutions
- Complements the Python for Everybody Coursera course nicely
Contras
- Some readers found the book skipped instructions on installation
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STD 835278
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Recursos e benefícios
- Introduces programming and software development through exploring data with Python.
- Python is an easy-to-learn, free and available on various operating systems programming language.
- Uses the Python 3 language version.
- Free downloadable electronic copies and supporting materials are available in various formats.
- Course materials are under a Creative Commons License for users to adapt and learn how to teach Python.
- Python can be used for solving complex data problems that are beyond the capability of a spreadsheet.