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Python Data Analysis Cookbook, published by Packt

License: MIT License

Jupyter Notebook 83.90% Python 11.61% HTML 4.49%

pythondataanalysiscookbook's Introduction

PythonDataAnalysisCookbook

You can read more at [Python Data Analysis Cookbook] (https://www.packtpub.com/big-data-and-business-intelligence/python-data-analysis-cookbook?utm_source=GitHub&utm_medium=Repository&utm_campaign=9781785282287)

What you will learn

  • Set up reproducible data analysis
  • Clean and transform data
  • Apply advanced statistical analysis
  • Create attractive data visualizations
  • Web scrape and work with databases, Hadoop, and Spark
  • Analyze images and time series data
  • Mine text and analyze social networks
  • Use machine learning and evaluate the results
  • Take advantage of parallelism and concurrency

Instructions

The Code folder contains the code samples used in this book. Software_Hardware_list file contains the list of required software and hardware for this book.

Happy coding! :)

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