{"id":3656,"date":"2026-07-13T13:27:30","date_gmt":"2026-07-13T13:27:30","guid":{"rendered":"https:\/\/silvybrand.com\/?p=3656"},"modified":"2026-07-13T13:27:30","modified_gmt":"2026-07-13T13:27:30","slug":"python-is-so-slow-can-julia-solve-the-two-language-problem","status":"publish","type":"post","link":"https:\/\/silvybrand.com\/?p=3656","title":{"rendered":"Python Is So Slow. Can Julia Solve the Two-Language Problem?"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div>\n<p><span class=\"lead-in-text-callout\">As a genre,<\/span> the \u201caward acceptance lecture\u201d is little more than a formality and a banality. But there is at least one charming exception to this rule\u2014the talks given by the foremost computer scientists on the occasion of their <a data-offer-url=\"https:\/\/amturing.acm.org\/\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/amturing.acm.org\/&quot;}\" href=\"https:\/\/amturing.acm.org\/\" rel=\"nofollow noopener\" target=\"_blank\">Turing Awards<\/a>.<\/p>\n<p class=\"paywall\">Some read like manifestos: John Backus\u2019 \u201c<a data-offer-url=\"https:\/\/dl.acm.org\/doi\/10.1145\/359576.359579\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/dl.acm.org\/doi\/10.1145\/359576.359579&quot;}\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/359576.359579\" rel=\"nofollow noopener\" target=\"_blank\">Can Programming Be Liberated From the von Neumann Style?<\/a>\u201d (1977) inspired a new paradigm that begat functional languages like Haskell. Others are warnings: In his \u201c<a data-offer-url=\"https:\/\/dl.acm.org\/doi\/10.1145\/1283920.1283940\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/dl.acm.org\/doi\/10.1145\/1283920.1283940&quot;}\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/1283920.1283940\" rel=\"nofollow noopener\" target=\"_blank\">Reflections on Trusting Trust<\/a>\u201d (1984), Ken Thompson demonstrated the peril of backdoored compilers, likely preventing scads of security vulnerabilities. Edsger Dijkstra, in \u201c<a href=\"https:\/\/www.cs.utexas.edu\/~EWD\/transcriptions\/EWD03xx\/EWD340.html\" class=\"text link\">The Humble Programmer<\/a>\u201d (1972), urged his ilk to be wary of cleverness and acknowledge \u201cthe intrinsic limitations of the human mind.\u201d<\/p>\n<p class=\"paywall\">For our purposes, consider Kenneth Iverson\u2019s heady 1979 lecture, \u201c<a data-offer-url=\"https:\/\/dl.acm.org\/doi\/10.1145\/1283920.1283935\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/dl.acm.org\/doi\/10.1145\/1283920.1283935&quot;}\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/1283920.1283935\" rel=\"nofollow noopener\" target=\"_blank\">Notation as a Tool of Thought<\/a>.\u201d In it, he demonstrated that mathematical notations aren\u2019t just convenient shorthand\u2014CO<sub>2<\/sub> for carbon dioxide, 3,888 for MMMDCCCLXXXVIII\u2014they also make new insights readily discoverable. As the mathematician Alfred North Whitehead once put it: \u201cBy relieving the brain of all unnecessary work, a good notation sets it free to concentrate on more advanced problems.\u201d<\/p>\n<p class=\"paywall\">Iverson won his Turing Award for APL, a spooky-looking programming language that began its life as a system of notation for bridging between languages. In the early days of scientific computing, programmers had to think in one language (mathematical notation) but then program in another (e.g., Fortran). APL was designed so that unwieldy operations could be written as compactly as equations\u2014lines of code collapsed into a couple of symbols like <strong>+<\/strong> or <strong>\u00d7<\/strong>. APL turned out to be more influential than adopted, but no matter: It showed that two languages could be fused into one.<\/p>\n<p class=\"paywall\"><span class=\"lead-in-text-callout\">The year 2026<\/span> marks 60 years since the introduction of APL, and a new kind of two-language problem bedevils the field of scientific computing. The ruling programming language is <a href=\"https:\/\/www.wired.com\/story\/how-i-became-a-python-programmer-and-distanced-myself-from-the-machine\/\" class=\"text link\">Python<\/a>, but it reigns not as a muscular conqueror so much as a doddering king. Python, in other words, is terribly slow\u2014a flaw that even its most ardent defenders would not deny.<\/p>\n<p class=\"paywall\">Hence the two-language problem: Researchers prototype in slow, friendly Python but, for performance-critical parts, rewrite in faster, less friendly languages like C++ or Rust. This limitation can\u2019t be solved by spinning up a platoon of AI coding agents, because no matter how much you optimize a slow language, a faster one will outperform it.<\/p>\n<p class=\"paywall\">These binary trade-offs exist in other domains. You could say that construction, for instance, has a two-material problem. Wood is a pliable material for prototyping a structure\u2014even an amateur can saw and nail together a functional building. But it\u2019s no good for erecting a skyscraper. This raises an obvious question: What if there were a material as manipulable as wood but as strong as steel? What if there were a language as ergonomic as Python but as fast as C?<\/p>\n<p class=\"paywall\"><span class=\"lead-in-text-callout\">In 2012, four<\/span> computer scientists with strong mathematical bona fides came together to address the modern-day two-language problem. In a short essay called \u201c<a data-offer-url=\"https:\/\/julialang.org\/blog\/2012\/02\/why-we-created-julia\/\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/julialang.org\/blog\/2012\/02\/why-we-created-julia\/&quot;}\" href=\"https:\/\/julialang.org\/blog\/2012\/02\/why-we-created-julia\/\" rel=\"nofollow noopener\" target=\"_blank\">Why We Created Julia<\/a>,\u201d they said they took up the project \u201cbecause we are greedy.\u201d Their text begins like a valentine to programming languages:<\/p>\n<p class=\"paywall\"><em>We are power Matlab users. Some of us are Lisp hackers. Some are Pythonistas, others Rubyists, still others Perl hackers \u2026 We\u2019ve generated more R plots than any sane person should. C is our desert island programming language.<\/em><\/p>\n<p class=\"paywall\">But every one of these languages, they wrote, \u201cis perfect for some aspects of the work and terrible for others.\u201d Greedy as they were, they wanted \u201ca language that\u2019s open source, with a liberal license \u2026 Something that is dirt simple to learn, yet keeps the most serious hackers happy.\u201d Julia would be the one language to unite them all.<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.wired.com\/story\/python-is-so-slow-can-julia-solve-the-two-language-problem\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As a genre, the \u201caward acceptance lecture\u201d is little more than a formality and a banality. But there is at least one charming exception to this rule\u2014the talks given by the foremost computer scientists on the occasion of their Turing Awards. Some read like manifestos: John Backus\u2019 \u201cCan Programming Be Liberated From the von Neumann [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3657,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[707,405,956,957,958,87],"class_list":["post-3656","post","type-post","status-publish","format-standard","has-post-thumbnail","category-gadgets","tag-coding","tag-computers","tag-machine-readable","tag-programming","tag-python","tag-software"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Is So Slow. 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