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Writing Complex Python Functions

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Overview

Write longer Python functions with conditionals, loops, and lists, then compose them into a small end-to-end data-processing workflow.

Syllabus

  • Unit 1: Designing Branching Functions
    • Reading a Branching Function
    • Extending the Grade Chain with D
    • Fixing Ticket Price Branch Order
    • Writing shipping_cost from Scratch
  • Unit 2: Building Answers with Loops
    • Reading Accumulator Functions
    • Filtering Inside the Accumulation
    • Freeing a Trapped Return
    • Stopping at the First Match
    • Building a String Accumulator
  • Unit 3: Processing Lists with Functions
    • Reading Functions That Take Lists
    • Reusing Both Functions on a Second List
    • Adding below average
    • Guarding Range Span on Empty Lists
    • Writing scaled from Scratch
  • Unit 4: Mutate or Rebind Lists
    • Reading Mutation Versus Rebinding
    • Mutation Accumulates Across Calls
    • Predict Mutate Versus Rebind
    • Fixing a Function That Sorts Callers List
    • Writing remove_zeros with Documented Mutation
  • Unit 5: Designing Focused Functions
    • Reading a Focused Long Function
    • Adding a Guarded Average Statistic
    • Skipping Invalid Prices
    • Repairing Accumulators Reset Inside Loops
    • Writing grade report from scratch
  • Unit 6: Building Function Pipelines
    • Reading a Pipeline of Stages
    • Running a Second Batch Through
    • Rewriting Nested Calls as Named Steps
    • Fixing a Mis-Ordered Pipeline
    • Adding a Blank Dropping Stage

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