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- The Python Bible 7 in 1: Volumes One To Seven...
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39787608
The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
89% of respondents would recommend this to a friend
Item #:
39787608
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What Stands Out
Comprehensive Coverage
Covers Python from beginner to advanced topics, ensuring users build a robust understanding of programming fundamentals and expertise in specialized areas like data science and machine learning.
Practical Applications
Focused on real-world applications, enabling learners to seamlessly transition their skills into practical projects across various domains, including finance and neural networks.
Structured Learning Path
Organized into volumes that guide users through progressive levels of complexity, making it easier for learners to track their improvement and mastery of Python and its diverse applications.
Product Details
| Publisher | Independently published |
| Publication date | March 23, 2020 |
| Language | English |
| Print length | 507 pages |
| ISBN-10 | 9798629849124 |
| ISBN-13 | 979-8629849124 |
| Item Weight | 1.2 pounds (540 grams) |
| Dimensions | 5 x 1.27 x 8 inches (12.7 x 3.2 x 20.3 cm) |
Who Should Buy?
-
Aspiring Programmers
Beginners looking to learn Python from scratch will find comprehensive resources in these seven volumes.
-
Data Science Enthusiasts
Individuals aiming to build a career in data science can benefit from targeted learning in the relevant volumes.
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Machine Learning Students
Those studying machine learning can gain insights and practical skills through dedicated content focused on neural networks.
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Advanced Python Developers
Experienced users may find the beginner material too simplistic and not enough advanced topics to challenge them.
Product Description
The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
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Intelligence & Semantics Editorial Review
The Python Bible 7 in 1: Volumes One To Seven is a collection of 7 small summaries on different subjects about Python, ranging from beginner to advanced topics such as machine learning, data science, finance, neural networks, and computer vision. This book has been praised for being easy to understand and apply, making the learning process less overwhelming for beginners. However, some readers found this book too basic and not comprehensive enough, particularly in terms of advanced topics. The lack of an index for each book also made it challenging for some readers to find specific topics. The book has a mix of positive and negative reviews, with some readers recommending it as a good starting point to learn Python, while others suggested looking for more comprehensive alternatives.
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Pros
- Easy to understand and apply, making the learning process less overwhelming for beginners
- An affordable starting point to learn Python
- Introduces readers to everything of importance in each subject
Cons
- Too basic and not comprehensive enough, particularly in terms of advanced topics
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