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Python Programming for Beginners: The #1 Crash Course to Learn Python Programming Quickly With Hands-On Exercises (2023) (Computer Programming)
TWD 1029
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Master the art of python programming and discover the fundamentals of coding with this complete beginner-friendly crash course!
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產品詳情
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Beginners in Coding
Ideal for individuals new to programming and seeking a comprehensive yet straightforward introduction to Python.
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Students and Learners
Great for students or lifelong learners who desire hands-on exercises to complement theoretical learning in programming.
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Professionals Switching Careers
Suitable for professionals looking to transition into tech by quickly acquiring programming skills through practical exercises.
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Experienced Developers
Not suitable for seasoned programmers who require advanced topics or complex problem-solving scenarios beyond the basics.
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Busy Individuals
May not be ideal for those with limited time, as a crash course requires focused commitment and practice.
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Preference for Theory
Not recommended for users who prefer theoretical explanations over hands-on exercises and practical applications in learning.
產品描述
Python Programming for Beginners: The #1 Crash Course to Learn Python Programming Quickly With Hands-On Exercises (2023) (Computer Programming)
客戶問答
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問題:
Is this book suitable for complete beginners?
Answer: Yes, this course is specially designed for beginners with no prior coding experience. -
問題:
How much time do I need to dedicate to learn Python from this book?
Answer: You can learn effectively with just a few minutes of study per day. -
問題:
Will I be able to apply what I learn in real-world scenarios?
Answer: Absolutely! This guide focuses on practical skills for real-world applications.
Structured Design Editorial Review
"Python Programming for Beginners: The #1 Crash Course to Learn Python Programming Quickly With Hands-On Exercises" has received favorable remarks from many users, particularly those who are new to programming. The book is hailed as an excellent resource for beginners seeking to build a solid foundation in Python. Many readers, including college students, have found it particularly helpful in supplementing their classroom learning with accessible explanations and practical exercises. However, not all feedback is overwhelmingly positive. A number of users expressed that while the book serves well as an introduction, it often lacks depth in certain areas, particularly regarding the available examples. Some readers reported minor frustrations with typos and inaccuracies in the code snippets, which required additional editing and troubleshooting to work correctly. Furthermore, the chapter dedicated to career Prospects for Python programmers was noted to be disappointingly brief and lacking meaningful content. Overall, this book presents a good starting point for beginners in Python but would benefit from a more thorough treatment of examples and error-free content to enhance the learning experience. **
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優點
- Well-suited for beginners, with a solid foundation in Python programming.
- Easy-to-understand explanations that complement classroom learning.
- Practical, hands-on exercises to reinforce learning.
缺點
- Limited examples that may not fully illustrate key concepts.
Product Price History
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TWD 1029
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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.
特色和優勢
- Beginner-friendly step-by-step instructions accelerate your learning.
- Hands-on exercises provide practical experience to apply your skills immediately.
- Dynamic guide to prepare you for real-world job applications.
- Covers essential Python functions: variables, loops, arrays, and more.
- Easy tips help you set up your Python environment hassle-free.
- Learn lucrative skills applied in AI, Machine Learning, and Data Mining.