Skip to main content
Home Python with Pets
Main navigation
  • Lists
    Lessons Exercises Patterns Principles Data machines
  • Search
  • Login
Lessons
  • + How the course works
    • What you'll learn
    • How to learn programming
    • Fear and AI
    • Using this site
    • Exercises
    • Uploading Python
    • About me
    • Let's talk
    • Social isolation
    • Let's go!
  • + Name tags
    • Spyder
    • Making name tags
    • How the program works
    • Pop the hood
    • Practice: string expressions
    • Patterns and mad libs
    • Structure diagrams
    • Exercises: basic strings
  • + Useful calculators
    • Tip calculator
    • More examples
    • Numeric expressions
    • Service level
    • Nested ifs
    • Practice: if
    • Ray codes
    • Exercises: calculators
  • + Validation
    • Check the service level
    • Check the meal cost
    • Looping for pets
    • Counted whiles
    • Practice: while
    • Keep asking: strings
    • Keep asking: numbers
    • Bonus: Round-off error
    • Exercises: validation
  • + Reuse
    • Making Easter eggs
    • Functions
    • Adela functionates
    • Practice: functions
    • Multiple functions
    • More functions
    • Practice: more functions
    • A string input function
    • Mars or bust!
    • Code library
    • Bonus: making webpages
    • Bonus: transactions
    • Exercises: functions
  • + Data analysis
    • Data sets
    • Reading data sets
    • Cleaning
    • Even cleaner
    • Pipey pipes
    • Showing bad data
    • Bonus: Plotting
    • Bonus: Regression
    • Record subsets
    • Computed fields
    • Stats
    • Relationships
    • Exercises: analysis
  • What now?
  • + Extras
    • Code standards
    • Data types

Lessons

Here are all of the lessons in the course. Click on a heading to sort.

Title Order in course Sort descending Tags
Even cleaner 59 Data cleaning, Data machines, Data sets, Validation, Program design
Pipey pipes 60 Data machines, Program design
Showing bad data 61 Functions
Bonus: Plotting 62 Output, Data sets
Bonus: Regression 63 Data sets, Output
Record subsets 64 Loops, Data sets, Data machines, Conditions
A validation library 65
Computed fields 65 Computed fields, Loops, Functions
Programming standards 66
Stats 66 Data sets, Data machines, Stats
Quitters 67
Relationships 67 Data sets, Stats
Exercises: analysis 68 Data sets, Stats, Data machines
Repeated test 68
What now? 69
Fun: RPS cheater 69
Record sets 70
Extras 70
Code standards 71
Data organization 71

Pagination

  • First page « First
  • Previous page ‹‹
  • Page 1
  • Page 2
  • Page 3
  • Current page 4
  • Page 5
  • Next page ››
  • Last page Last »

DO NOT START HERE

Read the lessons on the left of the screen. All exercises are embedded in the lessons.

Creative Commons Attribution-ShareAlike 4.0      Terms of use