Python for Data Analysis, 2e
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Python for Data Analysis, 2e
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python
Python for Data Analysis, 2e
Item #: 191241805

Python for Data Analysis, 2e

Item #: 191241805

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Product Details

Shop Python for Data Analysis, 2e online at a best price in Oman. 1491957662
  • Complete instructions for manipulating, processing, cleaning, and crunching datasets in Python
  • Practical case studies demonstrating effective solutions for data analysis problems
  • Covers the latest versions of pandas, NumPy, IPython, and Jupiter
  • Written by Wes McKinney, the creator of the Python pandas project
  • Ideal for analysts and Python programmers new to data science and scientific computing
  • Includes detailed examples for solving real-world data analysis problems
Publisher O'Reilly Media
Publication date October 24, 2017
Edition 2nd
Language English
Print length 524 pages
ISBN-10 1491957662
ISBN-13 978-1491957660
Item Weight 839 g
Dimensions 7.25 x 1 x 9.5 inches (18.4 x 2.5 x 24.1 cm)

Product Description

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Product Buying Guide

This practical, hands-on guide provides complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. It is an ideal resource for analysts new to Python and for Python programmers new to data science and scientific computing.

Product Specifications

  • Author: Wes McKinney
  • Edition: 2nd
  • Language: English
  • Pages: 544
  • Publisher: O'Reilly Media
  • Publication Date: October 20, 2017

Key Features

  • Hands-on guide for data manipulation, processing, and cleaning in Python
  • Practical case studies for effective data analysis problem-solving
  • Updated for Python 3.6 with latest versions of pandas, NumPy, IPython, and Jupiter
  • Written by Wes McKinney, the creator of the Python pandas project
  • Includes data files and related material on GitHub

Usage Scenarios

  • Ideal for analysts new to Python looking to learn data science tools
  • Suitable for Python programmers new to data science and scientific computing
  • Useful for those interested in practical case studies for solving data analysis problems

Usage Scenarios

No specific competitors mentioned.

Some User Review

  • This book is a comprehensive resource for learning data analysis techniques in Python.
  • The practical case studies offer valuable insight into solving real-world data analysis problems.
  • It's an excellent guide for beginners as well as experienced Python programmers.

Competitors

  • Price analysis will be based on the current market prices. It is recommended to compare prices from different vendors to find the best deal.

Buying Considerations

  • Consider whether you prefer a physical copy or a digital version based on your reading preferences.
  • Check if any additional resources such as exercises or online support are offered with the purchase.
  • Review the availability and accessibility of related data files and material provided on GitHub.

Conclusion

In conclusion, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition is a must-have guide for anyone looking to gain proficiency in data manipulation and analysis using Python. With practical case studies and updated content, it offers valuable insights for beginners and experienced Python programmers alike.

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This practical, hands-on guide provides complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. It is an ideal resource for analysts new to Python and for Python programmers new to data science and scientific computing. Continue Reading

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English Edition Wes Mckinney Format: Paperback Python Editorial Review

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Features & Benefits

  • Learn data analysis with Python 3.6
  • Hands-on guide with practical case studies
  • Ideal for beginners in Python and data science
  • GitHub access to data files and materials
  • Solve real-world data analysis problems
  • Thorough and detailed examples

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