Level 39 of 50
map & filter
explained with exam grace marks. Watch the reel, then work through it below: run the code, take the quiz, keep the cheat sheet.
📒 Open the cheat sheetSanaSir is giving 5 grace marks to the WHOLE class!
TeacherOne change for every item? That is map! And picking items? filter!
marks.py
marks = [40, 75, 90] grace = lambda m: m + 5 up = map(grace, marks) print(list(up))
Teachermap runs grace on every mark. Everyone gets +5!
SanaWhy wrap it in list?
Teachermap is lazy! list() makes it hand over all the results.
marks.py
marks = [40, 75, 90] passed = lambda m: m >= 50 ok = filter(passed, marks) print(list(ok))
Teacherfilter keeps only items where the test is True. 40 is out!
⏸ Pause & predict: what prints?
n = [5, 12, 8] big = map(lambda x: x > 6, n) print(list(big))
Where this leads
Python is step one. Building AI that ships is the rest.
The diploma takes you from zero to deployed computer vision, LLM and agent projects, with engineers who build them for a living. Already code? The bootcamp does it in three months.