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Data manipulation in Python/Pandas

Difficulty level

This tutorial was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Topics covered in this lesson
  • Introducing Pandas Objects
  • Data Indexing and Selection
  • Operating on Data in Pandas
  • Handling Missing Data
  • Hierarchical Indexing
  • Combining Datasets: Concat and Append
  • Combining Datasets: Merge and Join
  • Aggregation and Grouping
  • Pivot Tables
  • Vectorized String Operations
  • Working with Time Series
  • High-Performance Pandas
  • Proficiency in Python programming language
Technology requirement
  • Pandas data analysis and manipulation tool
Back to the course