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Lessons
  • + How the course works
    • What you'll learn
    • Is this course worth your time?
    • How to learn programming
    • Using 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
Cleaning 59 Data cleaning, Data sets, Validation, Spyder
Even cleaner 60 Data cleaning, Data machines, Data sets, Validation, Program design
Pipey pipes 61 Data machines, Program design
Showing bad data 62 Functions
Bonus: Plotting 63 Output, Data sets
Bonus: Regression 64 Data sets, Output
Record subsets 65 Loops, Data sets, Data machines, Conditions
A validation library 65
Computed fields 66 Computed fields, Loops, Functions
Programming standards 66
Quitters 67
Stats 67 Data sets, Data machines, Stats
Relationships 68 Data sets, Stats
Repeated test 68
Exercises: analysis 69 Data sets, Stats, Data machines
Fun: RPS cheater 69
What now? 70
Record sets 70
Extras 71
Data organization 71

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

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