Nº de artículo:
184481678
Python for Data Science: A Hands-On Introduction
87% of respondents would recommend this to a friend
Nº de artículo:
184481678
NIO 2111
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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.
Detalles de producto
- 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.
DESCRIPCIÓN DEL PRODUCTO
Python for Data Science: A Hands-On Introduction
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Preguntas y respuestas de los clientes
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Pregunta:
What is Python?
Respuesta: Python is an interpreted, high-level, general-purpose programming language. -
Pregunta:
Is Python good for data science?
Respuesta: Yes, Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. -
Pregunta:
What are some real-world data applications covered?
Respuesta: 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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ventajas
- Great hands-on approach
- Clear and concise explanations
- Suitable for beginners
- Covers essential data science tools
- Engaging examples and exercises
Contras
- Some sections could use more depth.
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características y beneficios
- 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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