Data Science Applications in Agriculture (Python) (2025–2026)

Miel Hostens · Cornell University

Welcome to the Introduction to Python Programming course of Cornell University. The learning path below contains Python exercises that support automated feedback. Exercises are categorized into ten series according to programming techniques covered in the course.

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Learning path

01. variables, expressions and statements
January 27, 2026 06:00

03. loops
February 10, 2026 06:00

Status Type Title Class progress Status Actions
Conan the Bacterium
Chika's test
Challenger or crack
Payslip
Heat wave

04. strings
February 24, 2026 06:00

Status Type Title Class progress Status Actions
Babbage's number
Mathemagical
Reading a pitch
Reciprocation
Word evolutions

05. functions
March 03, 2026 06:00

Status Type Title Class progress Status Actions
Test-driven development
Noah's headache
Persistence
Letter Boxed
Writing's on the wall
Tap code

06. lists and tuples
March 10, 2026 05:00

Status Type Title Class progress Status Actions
Zipper method
Complementary sequences
Diffy
Energy crisis in New Zealand
Pozo Azul

07. more about functions and modules
March 17, 2026 05:00

Status Type Title Class progress Status Actions
Fact and fiction
Rollover calendar
Cool serial numbers
Card flipping
Ink-cognito

08. sets and dictionaries - verzamelingen en dictionaries
March 24, 2026 05:00

Status Type Title Class progress Status Actions
Around the corner
Block tower
Ghost blitz
What's in the bag?
Sacred Cat of Burma

09. text files
April 07, 2026 06:00

Status Type Title Class progress Status Actions
Bitflip
Back channels
Choosing sides
Migration
Electronic color code

10. object-oriented programming
April 14, 2026 06:00

Status Type Title Class progress Status Actions
Genetic code
Racetrack Playa
Necklace
Dr. Eureka
Alberti cipher

first evaluation

Status Type Title Class progress Status Actions
Easy does it
Inventory

second evaluation

Status Type Title Class progress Status Actions
Round numbers
Ghost leg