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物品 #:
52380517
Python for Data Science: A Hands-On Introduction
物品 #:
52380517
HKD 427
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現在訂購，約可在下列時間收貨： 星期二, 六月 30
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Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities.
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What Stands Out
Practical Learning
Engages users with hands-on projects that reinforce data science concepts, allowing learners to apply Python in real-world scenarios effectively.
Comprehensive Coverage
Covers essential data science tools and libraries, ensuring a strong foundational understanding for beginners while addressing common user challenges.
User-Friendly Format
Designed for easy navigation and understanding, making complex topics accessible and enjoyable for readers with varying experience levels.
產品詳情
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
-
Beginners in Python
Ideal for newcomers to programming who want to learn Python while focusing on data science applications.
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Data Science Enthusiasts
Perfect for individuals interested in data science who wish to gain practical experience with real-world datasets.
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Professionals Upskilling
Great for professionals looking to enhance their skill set in data analysis and Python programming for career advancement.
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Experienced Programmers
Not suitable for seasoned programmers who may find the content too basic and lacking in advanced topics.
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Advanced Data Scientists
May not meet the needs of data scientists seeking in-depth methodologies and complex analytical techniques.
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Theory-Focused Learners
Less ideal for those who prefer theoretical knowledge over hands-on experience and practical application.
產品敘述
Python for Data Science: A Hands-On Introduction
有疑問？ 與我們聊天
客戶問題＆回答
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題:
What is Python?
回答: Python is an interpreted, high-level, general-purpose programming language. -
題:
Is Python good for data science?
回答: Yes, Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. -
題:
What are some real-world data applications covered?
回答: Real-world data applications include using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.
Data Mining Editorial Review
Based on customer feedback, this anti-aging product has been well-received for its effectiveness in reducing wrinkles and fine lines. Users have reported visible improvements in their skin texture and appearance after a few weeks of use. The product has a mild and pleasant scent, making it a delightful addition to the skincare routine. It is also suitable for sensitive skin, as it does not cause any irritations. Most users have seen visible results within a few weeks of Consistent use. The lightweight formula is quickly absorbed, leaving no greasy residue on the skin.
Customer Reviews & Ratings
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優點
- Effectively reduces wrinkles and fine lines
- Pleasant and mild scent
- Suitable for sensitive skin
- Visible results within a few weeks
- Lightweight formula, non-greasy
缺點
- Some users may prefer a more hydrating formula
Product Price History
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HKD 427
現在訂購，約可在下列時間收貨： 星期二, 六月 30
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Secured transaction
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.
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Fastest cross-border delivery
特色和優勢
- Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds.
- Write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques
- Discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science
- Load data in various formats, streamline, group, and aggregate data sets, and create charts, maps, and visualizations
- Real-world data applications including Taxi service, market basket analysis, and machine learning to predict stock prices