Swift impact and status on Exercism

Swift

25,445 students

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Swift Track Management

This page provides the Exercism community with the information and tools needed to manage the Swift track.

Students

25,445

Submissions

396,328

Mentoring Discussions

3,365

The Swift track needs attention ⚠️

Building

Swift syllabus

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Help create the track syllabus: is a set of concepts and learning exercises put together to teach foundational elements of the programming language.

Next goal: Create a complete syllabus with at least 40 concepts. Find out more.

35 concepts being taught

Basics

5,431 learnt

Booleans

2,288 learnt

Numbers

2,932 learnt

Characters and Strings

2,465 learnt

Escaping functions

1,937 learnt

Higher Order Functions

1,937 learnt

Conditionals

1,871 learnt

Ternary operator

1,871 learnt

Arrays

1,409 learnt

Ranges

21 learnt

for loops

19 learnt

Tuples

1,241 learnt

Optionals

1,034 learnt

Conditionals Switch

715 learnt

Control transfer

715 learnt

While and repeat loops

715 learnt

Capturing

563 learnt

Closures

563 learnt

Shorthand arguments

563 learnt

Trailing closures

563 learnt

Dictionaries

685 learnt

Importing

663 learnt

String Indexing

663 learnt

String Methods

663 learnt

Default Parameters

876 learnt

Function Overloading

876 learnt

Inout Parameters

876 learnt

Multiple Return Values

876 learnt

Nested Functions

876 learnt

Variadic Parameters

876 learnt

Methods

552 learnt

Self

552 learnt

Structs And Classes

552 learnt

Value and reference types

552 learnt

Enumerations

489 learnt

18 active learning exercises

Started

Attempts

Completions

Mentoring requests

Layers of Lasagna

7,815

44,226 (avg. 5.7)

5,431 (69.5%)

83 (1.1%)

Wings Quest

2,652

12,242 (avg. 4.6)

2,288 (86.3%)

37 (1.4%)

Freelancer Rates

3,817

48,291 (avg. 12.7)

2,932 (76.8%)

49 (1.3%)

Cal's Custom Sign Shop

2,847

25,649 (avg. 9.0)

2,465 (86.6%)

15 (0.5%)

Secret Agent Double-Null0111

2,434

11,517 (avg. 4.7)

1,937 (79.6%)

24 (1.0%)

Vexing Vehicle Purchase

2,347

24,675 (avg. 10.5)

1,871 (79.7%)

32 (1.4%)

Magician-in-Training

1,605

21,092 (avg. 13.1)

1,409 (87.8%)

26 (1.6%)

ChessBoard

69 (avg. 2.7)

21 (80.8%)

0 (0.0%)

Bird Watcher

56 (avg. 2.8)

19 (95.0%)

1 (5.0%)

Santa's Swifty Helper

1,297

4,995 (avg. 3.9)

1,241 (95.7%)

8 (0.6%)

Slice Sizing

1,171

16,577 (avg. 14.2)

1,034 (88.3%)

28 (2.4%)

Expert Mixologist

841

11,126 (avg. 13.2)

715 (85.0%)

17 (2.0%)

Double-Null0111: Closures Are Forever

656

5,174 (avg. 7.9)

563 (85.8%)

8 (1.2%)

High Score Board

745

5,170 (avg. 6.9)

685 (91.9%)

6 (0.8%)

The 1st Rule of Poetry Club

756

8,090 (avg. 10.7)

663 (87.7%)

7 (0.9%)

Lasagna Master

947

8,797 (avg. 9.3)

876 (92.5%)

18 (1.9%)

Windowing System

643

7,845 (avg. 12.2)

552 (85.8%)

10 (1.6%)

Log Lines

522

2,194 (avg. 4.2)

489 (93.7%)

2 (0.4%)

Practice Exercises

Learn More

Practice Exercises are exercises designed to allow students to solve an arbitrary problem, with the aim of them making use of the concepts they have learned so far.

Synced primary repo: d9571e15124798a6b9c7974df5222269d7f3c08f (Updates should be instant)

Next goal: Implement 135 practice exercises. Find out more.

85 active practice exercises

Started

Attempts

Completions

Mentoring requests

Hello World

17,697

38,751 (avg. 2.2)

12,995 (73.4%)

16 (0.1%)

Difference of Squares

2,292

8,359 (avg. 3.6)

1,537 (67.1%)

225 (9.8%)

Gigasecond

2,030

3,808 (avg. 1.9)

1,394 (68.7%)

276 (13.6%)

Leap

2,970

6,529 (avg. 2.2)

2,496 (84.0%)

585 (19.7%)

RNA Transcription

1,345

3,394 (avg. 2.5)

1,107 (82.3%)

155 (11.5%)

Space Age

1,048

2,379 (avg. 2.3)

880 (84.0%)

95 (9.1%)

Sum of Multiples

1,137

3,236 (avg. 2.8)

933 (82.1%)

121 (10.6%)

Two Fer

2,387

4,208 (avg. 1.8)

1,890 (79.2%)

921 (38.6%)

Reverse String

275

893 (avg. 3.2)

228 (82.9%)

2 (0.7%)

Darts

287 (avg. 3.7)

57 (73.1%)

1 (1.3%)

Bob

984

3,601 (avg. 3.7)

817 (83.0%)

87 (8.8%)

ETL

775

1,471 (avg. 1.9)

678 (87.5%)

19 (2.5%)

Armstrong Numbers

403 (avg. 6.0)

56 (83.6%)

1 (1.5%)

Grade School

744

2,444 (avg. 3.3)

603 (81.0%)

26 (3.5%)

Grains

721

2,492 (avg. 3.5)

612 (84.9%)

61 (8.5%)

Hamming

895

2,018 (avg. 2.3)

827 (92.4%)

75 (8.4%)

Isogram

626

1,511 (avg. 2.4)

532 (85.0%)

17 (2.7%)

List Ops

661

5,030 (avg. 7.6)

477 (72.2%)

15 (2.3%)

Nucleotide Count

1,059

2,304 (avg. 2.2)

799 (75.4%)

63 (5.9%)

Raindrops

776

1,558 (avg. 2.0)

666 (85.8%)

31 (4.0%)

Binary Search

394

1,124 (avg. 2.9)

303 (76.9%)

3 (0.8%)

Circular Buffer

298

1,443 (avg. 4.8)

216 (72.5%)

3 (1.0%)

Clock

492

1,584 (avg. 3.2)

383 (77.8%)

12 (2.4%)

Collatz Conjecture

306

811 (avg. 2.7)

260 (85.0%)

4 (1.3%)

Diamond

281

867 (avg. 3.1)

207 (73.7%)

1 (0.4%)

Flatten Array

335

1,037 (avg. 3.1)

263 (78.5%)

7 (2.1%)

ISBN Verifier

276

950 (avg. 3.4)

215 (77.9%)

6 (2.2%)

Kindergarten Garden

338

782 (avg. 2.3)

280 (82.8%)

5 (1.5%)

Perfect Numbers

347

1,112 (avg. 3.2)

300 (86.5%)

7 (2.0%)

Phone Number

494

1,885 (avg. 3.8)

416 (84.2%)

10 (2.0%)

Protein Translation

264

1,015 (avg. 3.8)

201 (76.1%)

5 (1.9%)

Proverb

221

705 (avg. 3.2)

175 (79.2%)

4 (1.8%)

Queen Attack

322

783 (avg. 2.4)

273 (84.8%)

5 (1.6%)

Robot Name

476

949 (avg. 2.0)

388 (81.5%)

7 (1.5%)

Robot Simulator

317

791 (avg. 2.5)

249 (78.5%)

9 (2.8%)

Scrabble Score

451

1,170 (avg. 2.6)

390 (86.5%)

6 (1.3%)

Secret Handshake

255

450 (avg. 1.8)

207 (81.2%)

1 (0.4%)

Sieve

301

655 (avg. 2.2)

255 (84.7%)

1 (0.3%)

Strain

309

469 (avg. 1.5)

254 (82.2%)

2 (0.6%)

Sublist

257

774 (avg. 3.0)

191 (74.3%)

3 (1.2%)

Triangle

478

1,317 (avg. 2.8)

403 (84.3%)

6 (1.3%)

Bottle Song

521 (avg. 6.9)

46 (61.3%)

2 (2.7%)

Acronym

346

1,256 (avg. 3.6)

226 (65.3%)

7 (2.0%)

All Your Base

228

678 (avg. 3.0)

148 (64.9%)

1 (0.4%)

Allergies

368

890 (avg. 2.4)

274 (74.5%)

7 (1.9%)

Anagram

402

1,046 (avg. 2.6)

341 (84.8%)

9 (2.2%)

House

167

378 (avg. 2.3)

117 (70.1%)

1 (0.6%)

Largest Series Product

184

632 (avg. 3.4)

137 (74.5%)

6 (3.3%)

Matrix

224

421 (avg. 1.9)

163 (72.8%)

0 (0.0%)

Meetup

199

422 (avg. 2.1)

130 (65.3%)

1 (0.5%)

Pangram

195

455 (avg. 2.3)

153 (78.5%)

4 (2.1%)

Pascal's Triangle

171

301 (avg. 1.8)

118 (69.0%)

1 (0.6%)

Prime Factors

177

317 (avg. 1.8)

133 (75.1%)

3 (1.7%)

Pythagorean Triplet

176

570 (avg. 3.2)

122 (69.3%)

3 (1.7%)

Rotational Cipher

134

407 (avg. 3.0)

97 (72.4%)

2 (1.5%)

Saddle Points

143

450 (avg. 3.1)

105 (73.4%)

2 (1.4%)

Say

109

368 (avg. 3.4)

69 (63.3%)

1 (0.9%)

Series

213

525 (avg. 2.5)

159 (74.6%)

1 (0.5%)

Simple Linked List

214

641 (avg. 3.0)

147 (68.7%)

0 (0.0%)

Twelve Days

231

397 (avg. 1.7)

171 (74.0%)

1 (0.4%)

Word Count

533

877 (avg. 1.6)

424 (79.5%)

12 (2.3%)

Atbash Cipher

124

472 (avg. 3.8)

96 (77.4%)

1 (0.8%)

Binary Search Tree

176

758 (avg. 4.3)

121 (68.8%)

3 (1.7%)

Crypto Square

119

465 (avg. 3.9)

84 (70.6%)

0 (0.0%)

Custom Set

141

383 (avg. 2.7)

86 (61.0%)

1 (0.7%)

Food Chain

211 (avg. 2.2)

65 (67.7%)

0 (0.0%)

Knapsack

115 (avg. 4.1)

16 (57.1%)

0 (0.0%)

Linked List

158

435 (avg. 2.8)

107 (67.7%)

6 (3.8%)

Luhn

145

549 (avg. 3.8)

107 (73.8%)

5 (3.4%)

OCR Numbers

104

252 (avg. 2.4)

66 (63.5%)

2 (1.9%)

Roman Numerals

167

419 (avg. 2.5)

120 (71.9%)

3 (1.8%)

Run-Length Encoding

120

356 (avg. 3.0)

86 (71.7%)

1 (0.8%)

Simple Cipher

109

277 (avg. 2.5)

70 (64.2%)

0 (0.0%)

Bowling

115

344 (avg. 3.0)

61 (53.0%)

0 (0.0%)

Complex Numbers

170 (avg. 1.8)

56 (60.9%)

0 (0.0%)

Nth Prime

136

379 (avg. 2.8)

96 (70.6%)

1 (0.7%)

Palindrome Products

104

509 (avg. 4.9)

70 (67.3%)

0 (0.0%)

Pig Latin

105

262 (avg. 2.5)

67 (63.8%)

0 (0.0%)

Tournament

103

385 (avg. 3.7)

75 (72.8%)

2 (1.9%)

Transpose

318 (avg. 3.2)

60 (60.6%)

0 (0.0%)

Matching Brackets

132

337 (avg. 2.6)

98 (74.2%)

1 (0.8%)

Dominoes

100

157 (avg. 1.6)

58 (58.0%)

0 (0.0%)

Minesweeper

122

332 (avg. 2.7)

78 (63.9%)

2 (1.6%)

Wordy

131

376 (avg. 2.9)

87 (66.4%)

4 (3.1%)

Poker

297

444 (avg. 1.5)

66 (22.2%)

1 (0.3%)

7 deprecated practice exercises

Started

Attempts

Completions

Mentoring requests

Accumulate

972

2,226 (avg. 2.3)

705 (72.5%)

42 (4.3%)

Beer Song

182

253 (avg. 1.4)

133 (73.1%)

1 (0.5%)

Binary

35 (avg. 1.5)

23 (100.0%)

0 (0.0%)

Hexadecimal

6 (avg. 1.0)

6 (100.0%)

0 (0.0%)

Octal

18 (avg. 1.3)

14 (100.0%)

0 (0.0%)

Scale Generator

179

376 (avg. 2.1)

108 (60.3%)

1 (0.6%)

Trinary

23 (avg. 1.4)

17 (100.0%)

0 (0.0%)

50 unimplemented practice exercises

Affine Cipher

Alphametics

Baffling Birthdays

Bank Account

Book Store

Change

Connect

Conway's Game of Life

D&D Character

DOT DSL

Eliud's Eggs

Error Handling

Forth

Go Counting

Grep

Hangman

High Scores

Intergalactic Transmission

Killer Sudoku Helper

Ledger

Lens Person

Markdown

Micro Blog

PaaS I/O

Parallel Letter Frequency

Piecing It Together

POV

Rail Fence Cipher

Rational Numbers

React

Rectangles

Relative Distance

Resistor Color

Resistor Color Duo

Resistor Color Trio

REST API

Satellite

SGF Parsing

Spiral Matrix

Split-Second Stopwatch

Square Root

State of Tic-Tac-Toe

Swift Scheduling

Tree Building

Two Bucket

Variable Length Quantity

Word Search

Yacht

Zebra Puzzle

Zipper

Programming Tags

Learn More

Help manage the tags used to group, filter and recommend solutions, approaches and articles.

0 tags

Test Runner

Learn More

Create Test Runners that have the single responsibility of taking a solution, running all tests and returning a standardized output.

Current version: 32f2b277f307eb68625409ffe04b233d2c1deb29 (Takes up to 10 mins to deploy)

Total Test Runner Runs

380,678

Test Run Pass Rate

17.7% (67276)

Test Run Fail Rate

23.3% (88591)

Test Run Error Rate

59.1% (224811)

Representer

Learn More

Build a Representer: a bit of code that has the single responsibility of taking a solution and returning a normalized representation of it.

Next goal: Build a Representer. Find out more.

Analyzer

Learn More

Build an Analyzer for Swift: Exercism's analyzers automatically assess student's submissions and provide mentor-style commentary.

Next goal: Build an Analyzer. Find out more.

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The Swift track needs attention ⚠️

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