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Python For Data Analysis: Data Wrangling With Pandas, Numpy, And Jupyter, Third Edition (Grayscale Indian Edition)

Original price was: ₹1,800.00.Current price is: ₹1,299.00.

  • BOOK CONDITION: USED – LIKE NEW
  • Unlock the power of Python for mastering data manipulation, processing, cleaning, and analysis.
  • Dive into real-world case studies with the latest versions of pandas, NumPy, and Jupyter, updated for Python 3.10 and pandas 1.4.
  • Learn from Wes McKinney, the creator of pandas, for a contemporary introduction to Python’s data science toolkit.
  • Explore essential techniques from exploratory computing with Jupyter to advanced NumPy functionalities.
  • Effortlessly load, clean, transform, merge, reshape, and visualize your data, including time series analysis and segmentation with pandas’ groupBy.

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SKU: 9789355421906 Category:

Description

Buy Python For Data Analysis: Data Wrangling With Pandas, Numpy, And Jupyter, Third Edition (Grayscale Indian Edition) Used Books Online India, Authored by wes mckinney in paperback binding from Used Book Store.

Master data manipulation, processing, cleaning, and analysis with Python. This practical, hands-on guide, updated for Python 3.10 and pandas 1.4, offers real-world case studies to effectively tackle a wide range of data analysis challenges. You will explore the latest versions of pandas, NumPy, and Jupyter. Authored by Wes McKinney, the creator of the pandas project, this book provides a contemporary introduction to data science tools in Python. It is perfectly suited for analysts new to Python and Python programmers venturing into data science and scientific computing. Key features include: Utilizing Jupyter notebooks and the IPython shell for exploratory computing. Understanding fundamental and advanced NumPy capabilities. Getting started with pandas for data analysis. Employing versatile tools for loading, cleaning, transforming, merging, and reshaping data. Generating insightful visualizations with matplotlib. Leveraging the pandas groupBy function for data segmentation and summarization. Analyzing and manipulating both regular and irregular time series data. Solving practical data analysis problems through detailed examples.

9789355421906 ISBN
Computer Science
Computing, Internet & Digital Media

Additional information

Weight0.96 kg
Dimensions3 × 18 × 23 cm
Language

English

Page Count

550+

Country of Origin

India

Edition/Binding

Paperback

Publisher

O'reilly

ISBN

9789355421906

Book Author

Wes Mckinney

Book Condition

Used – Like New

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