Python for Data Science: A Hands-On Introduction
Nº de artículo: 184481678

Python for Data Science: A Hands-On Introduction

Nº de artículo: 184481678

CRC 48332

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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

Shop Python for Data Science: A Hands-On Introduction online at a best price in Costa Rica. 1718502206
Yayu0131ncu0131No Starch Press
Yayu0131nlanma Tarihi2 Au011fustos 2022
Basku01311.
Dilu0130ngilizce
Basku0131 Uzunluu011fu240 sayfa
ISBN-101718502206
ISBN-13978-1718502208
Boyutlar17.9 x 1.8 x 23.5 cm

Who Should Buy?

Suitable For
  • 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.

Not Suitable For
  • 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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İngilizce Baskı Yuli Vasiliev Format: Kağıt Kapak Editorial Review

Python for Data Science: A Hands-On Introduction is a comprehensive guide published by No Starch Press that was released on August 2, 2022. Spanning 240 pages, this book is written in English and aims to provide practical knowledge for effectively utilizing Python in data science applications. With a focus on hands-on learning, readers can expect to engage with practical examples that enhance their understanding of the subject. This book is suitable for beginners who wish to dive into data science as it takes a straightforward approach, making complex concepts accessible and manageable.

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ventajas

  • Hands-on approach enhances practical learning
  • Suitable for beginners in data science
  • Comprehensive coverage of Python basics
  • Published by a reputable publisher
  • Clear examples simplify complex concepts

Contras

  • No advanced topics covered for experienced users

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