1368 74 Interactive Utilities 1369 75 Lazy Artifacts 1379 76 LibCURL 1380 77 LibGit2 1381 78 Dynamic Linker 1429 79 Linear Algebra 1433 79.1 Special matrices . . . . . . . . . . . . . . . . . . . performance, yet domain experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer dynamic languages for these applications, and we do not expect performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic 2CHAPTER 1. JULIA 1.11 DOCUMENTATION 3 language, appropriate for scientific and numerical computing

1368 74 Interactive Utilities 1369 75 Lazy Artifacts 1379 76 LibCURL 1380 77 LibGit2 1381 78 Dynamic Linker 1429 79 Linear Algebra 1433 79.1 Special matrices . . . . . . . . . . . . . . . . . . . performance, yet domain experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer dynamic languages for these applications, and we do not expect performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic 2CHAPTER 1. JULIA 1.11 DOCUMENTATION 3 language, appropriate for scientific and numerical computing

1368 74 Interactive Utilities 1369 75 Lazy Artifacts 1379 76 LibCURL 1380 77 LibGit2 1381 78 Dynamic Linker 1429 79 Linear Algebra 1433 79.1 Special matrices . . . . . . . . . . . . . . . . . . . performance, yet domain experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer dynamic languages for these applications, and we do not expect performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic 2CHAPTER 1. JULIA 1.11 DOCUMENTATION 3 language, appropriate for scientific and numerical computing

. . . . . . . . . . . . . . 1437 77 Lazy Artifacts 1440 78 LibCURL 1441 79 LibGit2 1442 80 Dynamic Linker 1490 81 Linear Algebra 1494 81.1 Special matrices . . . . . . . . . . . . . . . . . . . experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer 2CHAPTER 1. JULIA 1.13-DEV DOCUMENTATION 3 dynamic languages for these applications performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional

. . . . . . . . . . . . . . 1435 77 Lazy Artifacts 1438 78 LibCURL 1439 79 LibGit2 1440 80 Dynamic Linker 1488 81 Linear Algebra 1492 81.1 Special matrices . . . . . . . . . . . . . . . . . . . experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer 2CHAPTER 1. JULIA 1.12-RC1 DOCUMENTATION 3 dynamic languages for these applications performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional

. . . . . . . . . . . . . . 1434 77 Lazy Artifacts 1437 78 LibCURL 1438 79 LibGit2 1439 80 Dynamic Linker 1487 81 Linear Algebra 1491 81.1 Special matrices . . . . . . . . . . . . . . . . . . . experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer 2CHAPTER 1. JULIA 1.12-BETA4 DOCUMENTATION 3 dynamic languages for these applications performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional

. . . . . . . . . . . . . . 1434 77 Lazy Artifacts 1437 78 LibCURL 1438 79 LibGit2 1439 80 Dynamic Linker 1487 81 Linear Algebra 1491 81.1 Special matrices . . . . . . . . . . . . . . . . . . . experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer 2CHAPTER 1. JULIA 1.12-BETA3 DOCUMENTATION 3 dynamic languages for these applications performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional

. . . . . . . . . . . . . . 1426 76 Lazy Artifacts 1429 77 LibCURL 1430 78 LibGit2 1431 79 Dynamic Linker 1479 80 Linear Algebra 1483 80.1 Special matrices . . . . . . . . . . . . . . . . . . . experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer 2CHAPTER 1. JULIA 1.12-BETA1 DOCUMENTATION 3 dynamic languages for these applications performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional

1368 74 Interactive Utilities 1369 75 Lazy Artifacts 1379 76 LibCURL 1380 77 LibGit2 1381 78 Dynamic Linker 1429 79 Linear Algebra 1433 79.1 Special matrices . . . . . . . . . . . . . . . . . . . performance, yet domain experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer dynamic languages for these applications, and we do not expect performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic 2 CHAPTER 1. JULIA 1.11 DOCUMENTATION 3 language, appropriate for scientific and numerical computing

1368 74 Interactive Utilities 1369 75 Lazy Artifacts 1379 76 LibCURL 1380 77 LibGit2 1381 78 Dynamic Linker 1429 79 Linear Algebra 1433 79.1 Special matrices . . . . . . . . . . . . . . . . . . . performance, yet domain experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer dynamic languages for these applications, and we do not expect performance-intensive applications. The Julia programming language fills this role: it is a flexible dynamic 2 CHAPTER 1. JULIA 1.11 DOCUMENTATION 3 language, appropriate for scientific and numerical computing