100% Free Forever
AI-Powered Learning
Industry Expert Content
Certificates & Badges
Learn At Your Own Pace
Programming

Functions in D

Understand D function declarations, parameter storage classes (in/ref/out/lazy), overloading, and Design by Contract.

Control Flow & FunctionsIntermediate10 min readJul 10, 2026
Analogies

Introduction to Functions in D

Functions are the basic unit of reusable logic in D. A function declaration specifies a return type, a name, and a parameter list, and D infers the return type automatically if you use the auto keyword in place of an explicit type, letting the compiler deduce it from the return statements in the body. D functions can be nested inside other functions, declared at module scope, or declared as methods inside structs and classes, and D supports both eager (attribute-checked) and template-based generic functions within the same syntax.

🏏

Cricket analogy: A specialist death-over bowler is a dedicated, reusable piece of a team's strategy called upon whenever the situation demands it, just as a function packages reusable logic invoked wherever a program needs that specific behavior.

Function Declaration, Parameters, and Return Types

A D function's return type appears before its name: int add(int a, int b) { return a + b; }. Parameters are passed by value by default (structs and arrays are value types that get copied, except that dynamic arrays and associative arrays share their underlying data by reference even when the array header itself is copied). D also supports variadic functions using the ... syntax or, more idiomatically, typed variadics with T[] args..., and the auto return type lets the compiler infer the return type from the body, which is convenient for template functions whose return type depends on the parameter type.

🏏

Cricket analogy: A fielding position assignment sheet specifies exactly which player (parameter) fields at which position and what the expected outcome (return value) of a good catch is, just as a function signature specifies parameter types and a return type.

d
import std.stdio;

int add(int a, int b)
{
    return a + b;
}

auto multiply(T)(T a, T b)  // template function, auto return type inferred
{
    return a * b;
}

int sum(int[] nums...)  // typed variadic parameter
{
    int total = 0;
    foreach (n; nums)
        total += n;
    return total;
}

void main()
{
    writeln(add(2, 3));           // 5
    writeln(multiply(2.5, 4.0));  // 10.0, T inferred as double
    writeln(sum(1, 2, 3, 4, 5));  // 15
}

Default Arguments and Function Overloading

D functions may specify default argument values for trailing parameters, so callers can omit them entirely: void connect(string host, int port = 8080). D also supports function overloading -- multiple functions with the same name but different parameter types or counts -- and the compiler picks the best match at compile time using its overload resolution rules, preferring exact matches, then implicit conversions, then template instantiation as a last resort. Overload resolution errors (ambiguous matches) are caught at compile time, not at runtime, which avoids an entire category of dispatch bugs found in more dynamically typed languages.

🏏

Cricket analogy: A team sheet that lists a wicketkeeper's default batting position but allows the captain to override it for a specific match is like a default parameter value that can be overridden by the caller.

Parameter Storage Classes: in, out, ref, and lazy

D parameters are in (the default: passed by value, effectively read-only within common usage though not strictly enforced like const), ref (passed by reference, so mutations inside the function are visible to the caller), out (also passed by reference, but the parameter is default-initialized on entry regardless of what the caller passed, useful for functions that produce a result through a parameter), and lazy (the argument expression is not evaluated until it's actually used inside the function body, effectively passing a delegate that computes the value on demand). ref parameters must be called with an lvalue -- you cannot pass a literal or temporary directly to a ref parameter without an explicit cast.

🏏

Cricket analogy: Handing a scorer the actual physical scorebook to update live during the match (not a photocopy) is like passing a ref parameter -- changes made are visible to everyone using that same book afterward.

d
import std.stdio;

void increment(ref int x)
{
    x++;
}

void divide(int a, int b, out int quotient, out int remainder)
{
    quotient = a / b;
    remainder = a % b;
}

void logIfDebug(bool debugMode, lazy string message)
{
    if (debugMode)
        writeln(message);  // message() is only evaluated here, if at all
}

void main()
{
    int value = 10;
    increment(value);
    writeln(value); // 11

    int q, r;
    divide(17, 5, q, r);
    writefln("q=%d r=%d", q, r);

    logIfDebug(false, "This expensive string is never built");
}

out parameters are re-initialized to their type's default value (.init) the moment the function is entered, discarding whatever value the caller's variable held before the call -- this is different from ref, which preserves the caller's existing value on entry. Passing a variable you expect to read from as out, instead of ref, is a common source of surprising bugs.

Design by Contract: in and out Blocks

D has built-in support for Design by Contract through in and out contract blocks attached to a function, plus invariants for classes and structs. An in block runs before the function body and asserts preconditions on the parameters; an out block runs after the body and can assert postconditions about the return value (bound to a name you choose, e.g. out(result)). These contracts are checked automatically in debug and unittest builds but compiled out entirely in release builds (built with -release), so they carry zero runtime cost in production while catching contract violations during development and testing.

🏏

Cricket analogy: A pre-match pitch inspection that must confirm the pitch is fit for play before the toss (a precondition) and a post-match pitch report confirming no dangerous cracks appeared during play (a postcondition) mirrors D's in and out contract blocks.

Contracts compose with inheritance: a derived class's overriding method's in contract is OR-ed with the base class's (any one passing is sufficient, allowing subclasses to weaken preconditions), while out contracts are AND-ed (all must pass, so subclasses can only strengthen postconditions) -- this follows the Liskov substitution principle automatically at the language level.

  • A function's signature is returnType name(parameters); use auto to let the compiler infer the return type.
  • Parameters are in (by value) by default; ref and out pass by reference, with out resetting to .init on entry.
  • lazy parameters defer evaluation of the argument expression until it's actually used inside the function body.
  • Default argument values let callers omit trailing parameters; overloading lets multiple functions share a name with distinct signatures.
  • Overload resolution happens at compile time, so ambiguous or unmatched calls are caught before the program runs.
  • in and out contract blocks implement Design by Contract, checked in debug/unittest builds and stripped in -release builds.
  • Contract inheritance rules (OR for in, AND for out) automatically enforce Liskov substitution for overridden methods.

Practice what you learned

Was this page helpful?

Topics covered

#Programming#DProgrammingStudyNotes#FunctionsInD#Functions#Function#Declaration#Parameters#StudyNotes#SkillVeris#ExamPrep

Frequently Asked Questions

21 categories · pick one to explore

Where can I get free study notes for programming and tech subjects?
SkillVeris offers completely free study notes covering programming and tech subjects, with no signup fees or paywalls. The notes are structured by course and topic, written for quick understanding, and enriched with the Learn Through Hobbies analogy method, so you can revise concepts through cricket, music, gaming, cooking and more.
Are SkillVeris study notes good for exam revision?
Yes, the study notes are designed for efficient revision: each topic answers its heading immediately, keeps explanations concise, and links to related glossary terms and cheat sheets. Students preparing for university exams or certification tests use them as quick revision notes because they distil concepts without the padding of full textbooks.
What subjects do the free study notes cover?
The study notes span the platform's main domains, including AI and machine learning, Python and programming, web development, DevOps, cloud, security and databases. Coverage mirrors the 37 live courses, so notes exist for the topics you are actually studying, and new note sets are added as courses launch.
How are SkillVeris study notes different from regular textbooks?
The notes are answer-first, concise and free, whereas textbooks are long and often expensive. Each section explains one concept directly, then reinforces it through selectable hobby analogies like cricket or cooking. Notes also cross-link to the glossary, blog and cheat sheets, letting you jump to related material instantly instead of flipping pages.
Can I use the developer study material without creating an account?
The study notes are free to access, and SkillVeris does not charge anything for its developer study material at any point. Browsing notes is straightforward from the Study Notes section, and if you want progress tracking, certificates and AI Mentor conversations tied to your learning, a free account unlocks those extras.
Do the study notes explain concepts with analogies?
Yes, this is a signature SkillVeris feature. Study notes use the Learn Through Hobbies method, explaining technical concepts through analogies from twelve domains including cricket, music, gaming, photography, travel, movies, fitness, chess, cooking, finance, business and sports. You can switch the analogy domain instantly to whichever hobby makes the concept click.
Are the revision notes suitable for last-minute exam preparation?
Yes, revision notes on SkillVeris work well for last-minute preparation because every section states the answer in its first sentences, so skimming is genuinely effective. Pair them with the relevant cheat sheet for formulas and syntax, and use the glossary for any unfamiliar term you meet while cramming.
Is there free study material for AI and machine learning?
Yes, SkillVeris provides free study notes across its AI and ML catalogue, covering Python for AI, deep learning frameworks like PyTorch and TensorFlow, Hugging Face Transformers, Large Language Models, RAG, AI agents and MLOps. All of it is free, making it a strong resource for Indian students and global learners alike.
Can beginners understand the study notes, or are they for experts?
Beginners can absolutely use them. The notes are written in plain language, define terms as they appear, and lean on hobby analogies to make abstract ideas concrete. Difficulty scales with the underlying course level, so beginner-course notes stay gentle while advanced-course notes go deeper, and the glossary supports you throughout.
How do study notes connect with SkillVeris courses?
Study notes are organised by course and topic, so they map directly to the structured courses and their 24–40-lesson curriculum. Many learners study a lesson first, then use the matching notes for revision before module assessments and the final exam, where 80 percent is required to pass and earn the certificate.
Are there study notes for Python specifically?
Yes, Python is well covered through notes tied to the Python-focused courses, including Python for AI and ML. Topics span fundamentals through applied machine learning usage. You can reinforce the notes with Python practice in Code Lab, which runs code in your browser with no installation required.
Do the study notes include code examples?
Yes, study notes include code examples wherever a concept is best shown in code, alongside explanations, key points and analogies. Reading a snippet in the notes and then reproducing it yourself in Code Lab is an effective loop, since Code Lab lets you run code in the browser across six languages.
How often is new study material added to SkillVeris?
Study material grows alongside the course catalogue. Whenever new courses join the platform's 37 live courses, matching study notes, glossary entries and cheat sheets are added so the resources stay in sync. Existing notes are also refined over time, so it is worth revisiting topics you studied earlier.
Can I use SkillVeris notes to prepare for technical interviews?
Yes, the notes make excellent interview revision because they compress each concept into direct, answer-first explanations, which mirrors how you should answer interview questions. Combine them with the SkillVeris interview questions feature, which includes readiness scoring, to test whether your revision has actually made you interview-ready.
Are the study notes mobile-friendly for studying on the go?
Yes, the study notes are built to load fast and read comfortably on mobile devices, so you can revise during a commute or between classes. Sections are short and answer-first, which suits small screens, and analogy switching works on mobile too, letting you study anywhere without carrying books.
What is the difference between study notes and cheat sheets?
Study notes explain concepts in depth with context, examples and analogies, making them ideal for learning and revision. Cheat sheets are compact quick-reference summaries of syntax, commands and key facts, ideal once you already understand a topic. Most learners study the notes first, then keep the cheat sheet handy while coding.
Do study notes help if I am stuck on a course lesson?
Yes, reading the matching study notes often clarifies a lesson because the same concept is explained from a different angle, frequently with a different analogy. If you are still stuck, ask the AI Mentor, which answers 24/7 at Quick, Detailed or Deep-dive depth until the idea genuinely makes sense.
Is there free study material for DevOps and cloud topics?
Yes, SkillVeris carries free study notes for DevOps and cloud topics as part of its coverage across 37 live courses. The material suits learners following the DevOps Engineer or Cloud Engineer paths, and it links to related glossary terms and cheat sheets so you can revise the whole toolchain in one place.
Can school or college students in India use these notes for projects?
Yes, students across India and worldwide use SkillVeris notes for coursework, projects and exam preparation, and everything is free, which matters for student budgets. The notes explain concepts clearly enough to cite in project reports, and Code Lab lets you prototype the project code directly in your browser.
How should I combine study notes with other SkillVeris resources?
A proven loop: learn from a course lesson, revise with the matching study notes, look up unfamiliar terms in the glossary, keep the cheat sheet open while practising in Code Lab, and quiz yourself with interview questions. The AI Mentor fills any remaining gaps 24/7, at whatever depth you need.

What Learners Say

Real journeys from the SkillVeris community — swipe for more.

SkillVeris taught me Python through Cricket. Now I’m building real projects and feeling confident!
Arjun S. · B.Tech Student
The best platform for hobby-based learning. Concepts finally stick.
Priya R. · Data Analyst
I went from zero coding to a portfolio of projects — all by learning through my love for gaming. Landed my first internship!
Kabir M. · CS Undergraduate
Trending Topics50 popular tags — tap to explore
Trending CoursesAll 37 free courses — tap to browse