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A complete library of technical knowledge, from fundamentals to cutting-edge research.
You open a problem, stare at it for twenty minutes, then peek at the solution and nod along. Two weeks later the same problem comes back, and so does the blank stare. That's not learning, that's a loop.
repeat
Memorizing a solution solves one problem. Understanding the pattern solves every version of it.
Here's what that looks like
See it
A wall of text can't show you how a pointer moves. Every page on StudyDSA explains with animated diagrams, and the diagrams are the explanation, not decoration.
This one's searching a sorted array right now. Every comparison throws away half of what's left.
target = 70
In your language
Python, TypeScript, Java, C#, C++, PHP, Go, and Rust. Every code sample on the site exists in all eight, one click apart.
Pick one here and the whole site follows. Try it.
In order
Topics build on each other in an order that makes sense, with cross-references between pages. You always know what to learn next and why, instead of guessing which random video to watch.
Then practice
Every problem in our three curated lists earns its place by teaching a technique you'll see again. Mark problems complete, track your mastery from first attempt to interview ready, and pick up where you left off.
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def binary_search(nums: list[int], target: int) -> int:
# Start left and right at both ends of the array
left, right = 0, len(nums) - 1
while left <= right:
# Calculate the mid point
mid = (left + right) // 2
# Move left to search higher values
if nums[mid] < target:
left = mid + 1
# Move right to search lower values
elif nums[mid] > target:
right = mid - 1
# Found target at mid
else:
return mid
# Target not found
return -1