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Learn to Code by Solving Problems: A Python Programming Primer
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Learn to Code by Solving Problems is a practical introduction to programming using Python
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Produktdetaljer
- Practical introduction to programming using Python
- Teaches coding mechanics and how to think like a programmer
- Includes coding challenges from real competitions
- Covers core Python features, functions, and techniques
- Explains data structures, algorithms, and programming basics
- Develops problem-solving skills and coding proficiency with Python
| Publisher | No Starch Press |
| Publication date | June 21, 2021 |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 1718501323 |
| ISBN-13 | 978-1718501324 |
| Item Weight | 1.39 pounds (630 grams) |
| Dimensions | 7.13 x 0.79 x 9.41 inches (18.1 x 2 x 23.9 cm) |
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Hvem bør købe?
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Beginners to Coding
Perfect for individuals who are new to programming and want hands-on experience solving real problems with Python.
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Problem Solvers
Ideal for those who enjoy learning through practical challenges and want to improve logical thinking and coding skills.
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Self-Learners
Great for independent learners looking for a structured approach to mastering Python with practical exercises and solutions.
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Advanced Developers
Not suitable for experienced programmers who already possess strong skills in Python and problem-solving techniques.
Produktbeskrivelse
Kundespørgsmål og svar
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spørgsmål:
What is 'Learn to Code by Solving Problems: A Python Programming Primer' about?
svar: This book is designed to teach Python programming through practical problem-solving. It covers foundational concepts alongside real-world challenges, helping readers to understand the language in a hands-on manner. It’s particularly beneficial for beginners looking to grasp Python’s syntax and functionality effectively by applying it to various tasks and projects. -
spørgsmål:
Who is the target audience for this Python programming primer?
svar: The primary audience for this book includes beginners with little to no programming experience, as well as individuals who wish to strengthen their coding skills. It's suitable for students, career changers, or hobbyists interested in developing a practical understanding of Python through engaging challenges and exercises. -
spørgsmål:
What programming concepts does the book cover?
svar: The book covers essential programming concepts such as variables, loops, conditionals, functions, and data structures. Each chapter introduces new ideas while reinforcing previously learned topics through problem-solving exercises. This approach helps readers build a solid foundation in Python, making it easier to tackle more complex programming tasks later. -
spørgsmål:
Are there exercises included in the book?
svar: Yes, the book includes a variety of exercises at the end of each chapter that encourage readers to apply what they’ve learned. These exercises range from simple tasks to more complex projects, allowing readers to practice their skills and deepen their understanding of Python programming. Engaging with these practical scenarios enables a hands-on learning experience. -
spørgsmål:
Can this book help me with real-world programming tasks?
svar: Absolutely! The problem-solving focus of this book equips readers with the skills needed to tackle real-world programming challenges. By working through practical examples, you'll learn how to approach coding problems systematically, which is a critical skill for any programmer in fields like data analysis, web development, or automation. -
spørgsmål:
Is this book suitable for self-learners?
svar: Yes, 'Learn to Code by Solving Problems' is an excellent resource for self-learners. The clear explanations and practical exercises facilitate independent study. Readers can progress at their own pace, revisiting challenging concepts as needed. This autonomy in learning is ideal for those looking to balance coding studies with personal or professional responsibilities. -
spørgsmål:
What are some benefits of learning Python through problem-solving?
svar: Learning Python through problem-solving fosters critical thinking and analytical skills, essential for any programming task. It encourages you to think like a programmer and solve issues creatively. This method also makes the learning experience more engaging and enjoyable, as you actively apply theoretical knowledge to practical situations, enhancing retention and mastery of the language. -
spørgsmål:
Does this book provide access to supplementary materials or resources?
svar: The primary focus of the book is on the content within its pages. While it may not come with official supplementary materials, readers can find a wealth of online resources, tutorials, and communities dedicated to Python programming. Engaging with these additional resources alongside the book can enhance the learning experience and provide wider context to the material covered. -
spørgsmål:
How does this book compare to other Python programming books?
svar: This book stands out due to its emphasis on learning through problem-solving rather than traditional theory. While many programming books focus on syntax and notation, this primer applies knowledge to real-world scenarios, making it a practical choice. Readers appreciate its clear and engaging style, which promotes understanding and application, crucial for mastering programming. -
spørgsmål:
Where can I buy 'Learn to Code by Solving Problems: A Python Programming Primer' in Greenland?
svar: You can purchase 'Learn to Code by Solving Problems: A Python Programming Primer' on Ubuy. Ubuy offers a wide selection of books and is a great platform for finding diverse titles, including programming resources. With user-friendly navigation and helpful product details, Ubuy ensures a smooth shopping experience for acquiring your Kindle edition.
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Egenskaber og fordele
- Solve interesting problems drawn from real coding competitions
- Every chapter presents problems from coding challenge websites
- Develop a clear understanding of data structures, algorithms, and other programming basics
- Create complete-search algorithms and use Big O notation to design more efficient code
- Understand how to think through problems and tackle them with code
- Provides a lasting foundation to start thinking like a programmer
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