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Python for Data Science: A Hands-On Introduction
ZAR 1094
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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
Product Details
- Comprehensive guide to using Python for data science
- Covers essential concepts and hands-on techniques
- Provides practical examples and exercises
- Written in a clear and accessible language
- Suitable for beginners and those with prior Python knowledge
- Ideal for individuals and professionals seeking to delve into data science
| Publisher | No Starch Press |
| Publication date | August 2, 2022 |
| Language | English |
| Print length | 240 pages |
| ISBN-10 | 1718502206 |
| ISBN-13 | 978-1718502208 |
| Item Weight | 15.2 ounces (430.92 grams) |
| Dimensions | 7.05 x 0.71 x 9.25 inches (17.9 x 1.8 x 23.5 cm) |
Who Should Buy?
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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.
Product Description
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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.
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Pros
- Effectively reduces wrinkles and fine lines
- Pleasant and mild scent
- Suitable for sensitive skin
- Visible results within a few weeks
- Lightweight formula, non-greasy
Cons
- Some users may prefer a more hydrating formula
Product Price History
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ZAR 1094
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Features & Benefits
- 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





