The Byte path

One path through fifteen Python patterns, two minutes a day.

Every module opens with a guided tour of the pattern, then questions on real Python. Miss one and you get the reasoning, not just a red X. Finish a module and the next one unlocks.

BYTE 420
7
CURRENT MODULE 45%
Sliding Window
9 of 20 lessons11 left
MODULE 4Arrays & Hashing
MODULE 5Two Pointers
MODULE 6Sliding Window
The Byte koala, perched on the module you are on
MODULE 7Stack
MODULE 8Binary Search
MODULE 9Linked List
MODULE 10Trees
MODULE 11Heaps
MODULE 12Backtracking
MODULE 13Graphs
MODULE 14Dynamic Programming
MODULE 15Greedy
The Byte koala, narrating the lesson See how the best rides along with the window? You update it only when a window does better. That carried 8 is your final answer.
best = 0
for i in range(len(a) - k + 1):
total = sum(a[i : i+k])
best = max(best, total)
2 1 4 1 3
start end
BEST SO FAR8
↓ Window done
You carried the result
Next
430

Which expression should fill the blank so that the code prints the maximum sum of any contiguous length-3 subarray of nums?

main.py
1nums = [4, 2, 1, 7, 8, 1, 2, 8, 1, 0]
2k = 3
3window = sum(nums[:k])
4best = window
5for i in range(k, len(nums)):
6 window += nums[i] - ___
7 best = max(best, window)
8print(best)
Anums[k]
Bnums[i - k]
nums[i - k + 1]
Dnums[i - 1]
Here’s why

For a window of size k ending at index i, the element leaving the window is at index i - k. The true fixed-window sums are 7, 10, 16, 16, 11, 11, 11, 9, so the maximum is 16. Using nums[i - k + 1] removes the wrong element (produces 19), nums[i - 1] removes the previous slot (produces 14), and nums[k] is a constant 7 (produces 8).

GOT IT
01 · The path

One path, in order

Modules unlock in sequence: finish the one you are on and the next opens.

02 · Review

Go back whenever you want

A finished module stays open. Tap it to review the topic any time, and its questions come back shuffled into a fresh random order.

03 · The modules

Fifteen topics

Syntax, strings, math, arrays and hashing, two pointers, sliding window, stacks, binary search, linked lists, trees, heaps, backtracking, graphs, dynamic programming and greedy.

01 · The lesson

Every module has a guided lesson

All fifteen. Before any questions, a short interactive tour walks the pattern with you, and each one is built for its own topic: here a window slides over real numbers and carries the running best with it.

02 · Hands on

You drive it

The lesson waits for you. You tap, flip and step through each idea instead of watching slides. About two minutes, then the questions.

01 · XP

Earn XP as you answer

Correct answers earn XP and build your streak. The running total follows you through the module and stays on your profile.

02 · The questions

Five kinds of questions

Output prediction, bug spotting, code completion, edge cases and time complexity. All of it on real Python.

03 · The reasoning

Every question has an explanation

Miss one and the reasoning is right there: why the right answer is right, and why the tempting option you picked was not.

What you get

Built for the two minutes you actually have.

Progress worth checking

XP, a daily streak, a run of correct answers, a weekly minute goal you choose, and badges for streaks, topics, XP, practice time, and answer runs.

A study clock that tells the truth

Practice time counts your real study, in modules and lessons.

Reminders, so you don’t forget about your progress

Pick the times you want a nudge. Byte checks in so a busy week does not quietly end your streak.

New questions will land surprisingly

New questions can appear at any time. Go back to any module you have finished, whenever you like, and try the new ones.

The ladder

Ten ranks, earned by finishing modules.

You start as a Beginner and level up as you complete modules. The ladder runs from Intern all the way to Senior Fellow.

Beginner Intern Junior Engineer Senior Staff Senior Staff Principal Distinguished Fellow Senior Fellow