Students should know about Python (at least) the following topics

• Basic datatypes and usual operations and methods to work with them
  • Numbers (including booleans)
  • Strings
  • Lists
  • Dictionaries
  • Tuples
• Difference between the different datatypes (mutability, sequences, etc)
• Opening and reading files
• if, for and while structures
• Iterations and comprehensions
• Functions and arguments, importing packages, scopes
• Anonymous functions: lambda

• What are numpy arrays and why we need them
• How to create different types of numpy arrays
  • From lists
  • All zeros, ones or specific value
  • From linear sequences or ranges
  • From random distributions
• Usual array attributes (size, shape, ndim, dtype, itemsize, nbytes)
• Indexing, slicing
• Reshaping, contatenating and splitting
• UFuncs
• Aggregations
• Broadcasting!! IMPORTANT!!
• Comparisons, Masks and fancy indexing

• What is pandas and how is it different from Numpy
• What are series and dataframes
• creating series and dataframes
• Indexes and MultiIndex
• Indexing and selecting data
• Working around missing data
• UFuncs on pandas
• Combinging datasets (concat, append, merge and join)
• Groupby and aggregations
• Pivoting tables - String methods