Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback
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Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback
An excellent starting point to begin your data analysis journey with Python programming.
Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback
제품번호 #: 87417216

Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback

제품번호 #: 87417216

KRW 76791

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An excellent starting point to begin your data analysis journey with Python programming.
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What Stands Out

Comprehensive Coverage
This book provides an extensive introduction to essential Python libraries like NumPy, Pandas, and Matplotlib, offering readers a solid foundation for data analysis and visualization techniques.
User-Friendly Approach
Designed for beginners, the clear explanations and practical examples facilitate easy understanding of complex concepts, making data analysis accessible to those with minimal programming experience.
Hands-On Examples
The inclusion of practical exercises strengthens learning by allowing readers to apply concepts in real-world scenarios, enhancing retention and proficiency in data analysis with Python.

제품 세부 정보

Shop Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback online at a best price in South Korea. 1359013145
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Pub date2022-08-20
Pages278
SubgenreComputer Science
Series titleNo Series
Edition1
PublisherBpb Publications
Original languagesEnglish
LanguageEnglish
Educational levelCollege
Is collectibleN
Retail packagingSingle Piece
Assembled product height9.25 in (23.5 cm)
Assembled product weight1.06 lb (480 grams)
Bisac subject headingComputers
Country of OriginThis item will be imported from US
Date First AvailableNovember 18, 2022
What is in the boxData Analysis with Python:... For more details, please check description/product details

Who Should Buy?

Suitable For
  • Beginner Data Scientists

    Perfect for those starting their journey in data analysis, offering foundational tools for effective learning.

  • Python Programmers

    Ideal for Python users aiming to deepen their data manipulation and visualization skills using popular libraries.

  • Academic Students

    Useful resource for students needing a practical introduction to data analysis concepts and Python programming.

Not Suitable For
  • Experienced Analysts

    May not provide the advanced insights and techniques required by seasoned data analysis professionals.

  • Non-Python Users

    Individuals unfamiliar with Python will struggle with the content, as it heavily relies on the programming language.

  • Advanced Developers

    Those looking for in-depth algorithmic or statistical methods will find the material too basic for their needs.

제품 설명

Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback

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고객 질문 및 답변

  • 의문: Is prior knowledge of Python required?

    답변: A working knowledge of Python is a definite plus before diving into this book.
  • 의문: What Python libraries will I learn to use?

    답변: You will master Python's data analysis libraries, including Pandas, NumPy, and Matplotlib.
  • 의문: Who is this book intended for?

    답변: This book is intended for college students and data professionals looking to improve their data analysis skills.

Rituraj Dixit All Books Editorial Review

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KRW 76791

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특징 및 장점

  • Hands-on learning experience of Python fundamentals.
  • Covers end-to-end data analysis coding examples.
  • Utilizes popular libraries like Pandas, NumPy, and Matplotlib.
  • Provides a solid foundation in data analysis processes.
  • Includes practical examples for better understanding.
  • Designed for beginners and data professionals alike.