Learn Apl - 10 Code Examples & CST Typing Practice Test
APL (A Programming Language) is a high-level, array-oriented programming language known for its symbolic notation and powerful operations on multidimensional data. It excels at concise expressions for mathematical, analytical, and computational tasks.
Learn APL with Real Code Examples
Updated Nov 20, 2025
Learning Path
Learn core symbols and monadic/dyadic functions
Practice vector/matrix operations
Study reduce, scan, and each
Build functions and tacit expressions
Explore real-world modeling projects
Skill Improvement Plan
Week 1: Symbols and basic arrays
Week 2: Matrix operations and operators
Week 3: Functions and tacit style
Week 4: Applied numeric problems
Week 5: Integrations and performance tuning
Interview Questions
What makes APL unique?
Explain monadic vs dyadic functions.
What is an operator in APL?
How does APL handle arrays of any rank?
Where is APL used in industry?
Cheat Sheet
+/⍳10 - sum of first 10 integers
⍴ - reshape
∘.× - outer product
⌈/ - maximum reduction
⊢,⊣ - identity and left/right arguments
Books
A Programming Language (Kenneth Iverson)
Mastering Dyalog APL
APL Applied to Finance
Mathematical Programming with APL
APL Annotated Reference Manual
Tutorials
Introduction to APL
Array Operations and Functions
Operators: Reduce, Scan, Each
Tacit Programming in APL
Building Analytical Models
Official Docs
Dyalog APL Documentation
APL Wiki
GNU APL Manual
Community Links
APL Orchard Matrix Chat
Dyalog Forums
GitHub APL Projects
APL Wiki community
APL conference videos
Community Support
Dyalog community forums
APL Orchard chat
GitHub APL repos
APL Wiki
Conference videos (Dyalog user meetings)
Frequently Asked Questions about Apl
What is Apl?
APL (A Programming Language) is a high-level, array-oriented programming language known for its symbolic notation and powerful operations on multidimensional data. It excels at concise expressions for mathematical, analytical, and computational tasks.
What are the primary use cases for Apl?
Mathematical modeling. Data analysis and numerical computing. Algorithm prototyping. Actuarial and financial calculations. Education and research in array programming
What are the strengths of Apl?
Extremely concise and expressive syntax. Fast array operations ideal for complex computations. Great for mathematical and algorithmic thinking. Rich set of built-in operators. Strong commercial ecosystem (e.g., Dyalog APL)
What are the limitations of Apl?
Steep learning curve due to symbolic notation. Small community compared to mainstream languages. Not ideal for general-purpose app dev. Requires special keyboard/layout support. Debugging symbolic expressions can be challenging
How can I practice Apl typing speed?
CodeSpeedTest offers 10+ real Apl code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.