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The Computer Science Principles: A Dynamic and Practical Approach
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€ 29
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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
Produkto Aprašymas
| 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.
PRODUKTO APRAŠYMAS
The Computer Science Principles: A Dynamic and Practical Approach
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Programming Editorial Review
The Computer Science Principles A Dynamic And Practical Approach is published by Independently and is set to be released on November 29, 2024. This book spans 133 pages and is presented in English, designed to provide a clear exploration of computer science concepts. Readers have noted its practical approach and engaging writing style, making complex topics more accessible. The ISBN-13 for this title is 979-8301749711, and the compact dimensions of 15.24 x 0.76 x 22.86 cm enhance its portability, appealing also to students on the go seeking a solid foundation in computer science principles.
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Argumentai
- Engaging and accessible writing style
- Compact size for portability
- Practical approach to complex topics
- Well-organized content for easy navigation
- Ideal for students and beginners
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€ 29
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Savybės ir privalumai
- 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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