Item #:
184481678
Python for Data Science: A Hands-On Introduction
87% of respondents would recommend this to a friend
Item #:
184481678
SAR 212
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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
Hands-On Learning
This book emphasizes practical experience, allowing readers to apply Python concepts directly to real data science problems, enhancing comprehension and retention.
Comprehensive Coverage
It covers a wide range of data science topics, including data manipulation, visualization, and machine learning, making it a well-rounded resource for beginners and intermediates alike.
User-Friendly Approach
Designed for readers with varying skill levels, it simplifies complex concepts with clear explanations and examples, ensuring accessibility for anyone looking to delve into data science.
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
| Publishers | No Starch Press |
| Date of publication | 4 August 2022 |
| Prints | 1. |
| Language | English |
| Print Length | 240 pages |
| ISBN-10 | 1718502206 |
| ISBN-13 | 978-1718502208 |
| Dimensions | 17.9 x 1.8 x 23.5 cm |
Who Should Buy?
-
Beginner Programmers
Ideal for individuals new to programming who want to learn Python in a practical, hands-on manner.
-
Data Science Enthusiasts
Perfect for those interested in data science concepts and wishing to apply Python to data analysis tasks.
-
Students in STEM
Great for students pursuing STEM fields, providing foundational knowledge in Python for future coursework.
-
Advanced Developers
Not suitable for seasoned programmers looking for advanced Python techniques or specialized data science methods.
Product Description
Python for Data Science: A Hands-On Introduction
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Customer Questions & Answers
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Question:
What is Python?
Answer: Python is an interpreted, high-level, general-purpose programming language. -
Question:
Is Python good for data science?
Answer: Yes, Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. -
Question:
What are some real-world data applications covered?
Answer: 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.
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Pros
- Great hands-on approach
- Clear and concise explanations
- Suitable for beginners
- Covers essential data science tools
- Engaging examples and exercises
Cons
- Some sections could use more depth.
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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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