Tutorials Data Structures and Algorithms in C#
Introduction to Data Structures
Introduction to Data Structures: free step-by-step lesson with examples, common mistakes, and interview tips — part of Data Structures and Algorithms in C# on Toolliyo Academy.
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Data Structures and Algorithms in C# · Lesson 1 of 120
Introduction to Data Structures
Foundations & Arrays → Lists, Hash, Trees → Graphs & DP → Advanced & Projects
Foundations & Arrays · 1 — Basics · ~6 min · Foundations
What is this?
A data structure is a way to organize values so common operations (add, find, remove) are fast enough for your problem. In C# you often start with arrays, List
Why should you care?
Interview and production bugs happen when you pick the wrong structure — O(n) lookups in a hot loop instead of a Dictionary.
See it live — copy this example
Run snippets in a .NET console app, LINQPad, or https://dotnetfiddle.net. Write Big O above every solution.
int[] nums = { 3, 1, 4 };
var list = new List<int> { 3, 1, 4 };
list.Add(5);
Console.WriteLine(list.Count);
What happened?
- Arrays have fixed length.
- List
grows. - Count is O(1).
- Choosing List vs array depends on whether size changes.
Practice next
- Create a console app.
- Run the snippet.
- Time adding 100_000 items to List vs resizing logic yourself.
- Try Span
later for advanced work. - Print list[0] safely with Count check.
Remember
Structures trade space for time. C# BCL already gives solid defaults. Measure before micro-optimizing.
Hot path lookup
API validates SKUs on every request.
Outcome: You reach for HashSet/Dictionary, not List.Contains in a loop.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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