Python for Data Science: A Hands-On Introduction
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Python for Data Science: A Hands-On Introduction
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.
Python for Data Science: A Hands-On Introduction
Artikulli #: 184481678

Python for Data Science: A Hands-On Introduction

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Artikulli #: 184481678

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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.

Detajet e produktit

Shop Python for Data Science: A Hands-On Introduction online at a best price in Albania. 1718502206
  • 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
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.

PËRSHKRIMI I PRODUKTIT

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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Pro

  • 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

Kundër

  • No advanced topics covered for experienced users

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Karakteristikat dhe Përfitimet

  • 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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