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The Computer Science Principles: A Dynamic and Practical Approach
78% of respondents would recommend this to a friend
NIO 1164
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The Computer Science Principles: A Dynamic and Practical Approach is your ultimate guide to unlocking the potential of this exciting field.
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What Stands Out
Detalles de producto
| Publisher | Independently published |
| Publication date | 29 Nov. 2024 |
| Language | English |
| Print length | 133 pages |
| ISBN-13 | 979-8301749711 |
| Item weight | 259 g |
| Dimensions | 15.24 x 0.76 x 22.86 cm |
Who Should Buy?
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Students Learning CS
Ideal for high school or college students introducing computer science principles in an engaging and practical manner.
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Educators
Useful for teachers seeking a comprehensive resource to aid in curriculum development and lesson planning for computer science.
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Self-learners
Perfect for individuals interested in self-studying computer science concepts with accessible language and large print for ease of reading.
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Advanced Programmers
Not suitable for experienced programmers looking for in-depth technical resources or advanced coding techniques and frameworks.
DESCRIPCIÓN DEL PRODUCTO
The Computer Science Principles: A Dynamic and Practical Approach
Preguntas y respuestas de los clientes
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Pregunta:
Is this book suitable for beginners?
Respuesta: Yes, it is written with clarity to help those new to computer science. -
Pregunta:
Will I learn about current tech trends?
Respuesta: Absolutely, the book covers emerging trends like artificial intelligence and data science. -
Pregunta:
Does it include hands-on projects?
Respuesta: Yes, each chapter features practical exercises and projects to enhance learning.
Programming Editorial Review
Customer Reviews & Ratings
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ventajas
- Engaging and practical content
- Well-structured course layout
- Great for beginners
- Includes real-world applications
Contras
- Some topics lack depth.
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NIO 1164
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características y beneficios
- Comprehensive coverage of essential computer science topics.
- Hands-on learning through practical examples and exercises.
- Beginner-friendly clarity while appealing to experienced learners.
- Dynamic approach using storytelling and interactive problem-solving.
- Insight into emerging trends like AI and data science.
- Builds career-ready skills for further studies and tech projects.
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