Python para análisis de datos (TÍTULOS ESPECIALES)
Obtén el manual definitivo para manipular, procesar, limpiar y restringir conjuntos de datos en Python. Actualizado para Python 3.10 y pandas 1.4.0, esta tercera edición de Python para análisis de datos.
Python para análisis de datos (TÍTULOS ESPECIALES)
Item #: 272282303

Python para análisis de datos (TÍTULOS ESPECIALES)

Item #: 272282303

KMF 36694

KMF 38487

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Obtén el manual definitivo para manipular, procesar, limpiar y restringir conjuntos de datos en Python. Actualizado para Python 3.10 y pandas 1.4.0, esta tercera edición de Python para análisis de datos.
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What Stands Out

Comprehensive Coverage
Covers essential libraries like Pandas and NumPy, ensuring learners develop a strong foundation in data manipulation and analysis, catering to both beginners and experienced programmers.
Practical Examples
Incorporates real-world datasets and use cases, allowing students to apply theoretical knowledge to practical problems, enhancing understanding and retention of data analysis techniques.
Interactive Learning
Features hands-on exercises and projects, promoting engagement through immediate application of concepts learned, making the learning process both effective and enjoyable.

Product Details

Shop Python para análisis de datos (TÍTULOS ESPECIALES) online at a best price in Comoros. 8441546835
  • Updated for Python 3.10 and pandas 1.4.0
  • Provides a practical and modern introduction to Python data science tools
  • Suitable for both Python beginners and programmers looking to delve into data science
  • Includes practical examples to solve a wide range of data problems
  • Covers Jupyter Notebook, IPython, NumPy, pandas, and matplotlib
  • Offers guidance on data exploration, cleaning, transformation, visualization, and analysis
Item Weight1 lbs (450 grams)

Product Description

Python para análisis de datos (TÍTULOS ESPECIALES)

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Paperback Algorithms Editorial Review

Python para análisis de datos TÍTULOS ESPECIALES is a compact book weighing just 1 lb (450 grams), making it an excellent choice for anyone interested in data analysis using Python. This weight indicates portability, allowing readers to easily carry it for study sessions at home or on the go. Ideal for both beginners and experienced programmers, it delves into various techniques and libraries that make data manipulation and analysis simple and effective. Readers will appreciate the clear explanations and actionable insights provided throughout the book, making learning Python enjoyable and practical.

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Pros

  • Portable design for easy transport
  • Clear explanations of complex concepts
  • Focus on practical data analysis techniques
  • Suitable for beginners and experienced users
  • Covers essential Python libraries

Cons

  • No digital version available for quick access

Product Price History

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