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52380517
Python for Data Science: A Hands-On Introduction
88% of respondents would recommend this to a friend
Item #:
52380517
SAR 244
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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.
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?
-
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.
Product Description
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Data Mining Editorial Review
Python for Data Science: A Hands-On Introduction offers a mixed experience with an emphasis on practical coding although it presents some challenges. Published by No Starch Press in August 2022, the book spans 240 pages and attempts to guide beginners through Python and data science concepts. Several reviewers highlight the lack of adequate support resources such as practice solutions on GitHub, which can impede the learning process. Additionally, the book’s structure is criticized for abruptly introducing complex coding concepts without sufficient explanation, making it potentially overwhelming for those new to programming. Despite its intention to incorporate statistical techniques, crucial topics like handling real data and common statistical methods are notably absent, leading readers to seek alternative materials for a more thorough understanding.
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Pros
- Well-structured for hands-on coding experience
- Publisher has a strong reputation
- Appealing print length for concise learning
- Interesting topics in data science
- Focus on practical applications is beneficial
Cons
- Missing supplementary materials can hinder understanding
Product Price History
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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
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