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Python Data Analytics: The Ultimate Guide to Learn Python Data Analytics
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Python is the best tool for data analysis due to its flexibility, ease of learning, and strong community support.
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Detalji o proizvodu
| Publisher | Independently published |
| Publication date | August 16, 2019 |
| Language | English |
| Print length | 141 pages |
| ISBN-10 | 1686688164 |
| ISBN-13 | 978-1686688164 |
| Item Weight | 7.1 ounces (201.29 grams) |
| Dimensions | 6 x 0.32 x 9 inches (15.2 x 0.8 x 22.9 cm) |
| Book 1 of 3 | PYTHON DATA ANALYTICS |
OPIS PROIZVODA
Python Data Analytics: The Ultimate Guide to Learn Python Data Analytics
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Python Editorial Review
The product under review has faced overwhelming criticism from customers, primarily centered around its poor writing quality and lack of substantive content. Many reviewers noted that the book is riddled with grammatical errors, which detracts significantly from the learning experience. The discussions within the booklet are perceived as superficial, failing to provide meaningful insights for either beginners or more experienced users. Critics have highlighted the lack of structure throughout the text, pointing out that the transitions between topics often seem abrupt and lacking in context. As a result, the content appears disjointed and fails to engage readers effectively. There are also mentions of poorly rendered graphics and superficial explanations, particularly regarding the role of Python in a data operations structure, which has left many feel that it does not fulfill its promise as an "Ultimate Guide." Overall, the reception of this product is overwhelmingly negative, suggesting that it does not meet the expectations set by its title or by potential readers. **
Customer Reviews & Ratings
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5 zvjezdica
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1 zvjezdica
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Pros
- May contain some wisdom for dedicated readers willing to sift through the content.
Protiv
- Numerous grammatical errors detracting from the quality of writing.
Product Price History
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Značajke i prednosti
- Python offers unmatched flexibility for creative data analysis.
- It has a low learning curve, making it ideal for beginners.
- Being open-source, Python has a large community and numerous libraries.
- Python is designed to run across multiple operating systems.
- Strong community support ensures quick help for users.
- Python is widely used in both academia and industry.
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