Coding/Learn/julia/julia arrays vectors
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Learn1D Arrays (Vectors) & 1-Based Indexing
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Lesson 20 of 55
10 mins read

1D Arrays (Vectors) & 1-Based Indexing

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In Plain English

Vectors in Julia are 1D mutable arrays. Julia uses 1-based indexing by default, aligning naturally with mathematical and scientific indexing conventions.

Deep Dive: How It Works

1-Based Indexing: The first element of array A is A[1], and the last element is A[end].

Mutation Convention (!): In Julia, functions that modify their arguments end with an exclamation mark (push!, pop!, append!, sort!).

Vector Construction: [1, 2, 3] creates a Vector{Int64}. zeros(5) creates 5 Float64 zeros. fill(7, 4) creates [7, 7, 7, 7].

PointCore Rules to Remember

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1-Based Indexing & end: First item is arr[1]; final item is arr[end]; slice with arr[2:end-1].
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Mutating ! Convention: Functions with ! (like push!) mutate the collection in place.

Live Interactive Example

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Vector Operations and Mutations
Python 3.12
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Output Console
Click "Run Code" to view the rendered output.
How it works: 1-based indexing is standard. push! appends to the end; pop! removes from the end.

Your Turn: Micro Challenge

No pressure! Edit the starter code below and test your solution with instant feedback.

Micro Exercise

Append and Access Elements

  • PointCreate a vector `items = [100, 200, 300]`.
  • PointUse `push!(items, 400)`.
  • PointPrint `"Length: $(length(items)), Last: $(items[end])"`.
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Sandbox Output
Click "Run & Check" to test your solution.

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