Introduction to Python, Data Science & Computational Thinking: Free Online Courses from MIT

FYI: MIT has post­ed online the video lec­tures for an essen­tial series of cours­es. In the playlist of 38 lec­tures above, you can get an Intro­duc­tion to Com­put­er Sci­ence and Pro­gram­ming in Python. Record­ed this past fall, and taught by Prof. Eric Grim­son, Prof. John Gut­tag, and Dr. Ana Bell, the course is “intend­ed for stu­dents with lit­tle or no pro­gram­ming expe­ri­ence. It aims to pro­vide stu­dents with an under­stand­ing of the role com­pu­ta­tion can play in solv­ing prob­lems and to help stu­dents, regard­less of their major, feel jus­ti­fi­ably con­fi­dent of their abil­i­ty to write small pro­grams that allow them to accom­plish use­ful goals. The class uses the Python 3.5 pro­gram­ming lan­guage.” Find accom­pa­ny­ing course mate­ri­als, includ­ing syl­labus, here.

The fol­low up course, Intro­duc­tion to Com­pu­ta­tion­al Think­ing and Data Sci­ence, is again intend­ed for stu­dents with lit­tle or no pro­gram­ming expe­ri­ence. “It aims to pro­vide stu­dents with an under­stand­ing of the role com­pu­ta­tion can play in solv­ing prob­lems and to help stu­dents, regard­less of their major, feel jus­ti­fi­ably con­fi­dent of their abil­i­ty to write small pro­grams that allow them to accom­plish use­ful goals. The class uses the Python 3.5 pro­gram­ming lan­guage.” Find relat­ed course mate­ri­als here, and the 15 lec­tures on this playlist.

Both cours­es will be added to our col­lec­tion of Free Com­put­er Sci­ence Cours­es, a sub­set of our col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.

If you would like to sign up for Open Culture’s free email newslet­ter, please find it here. Or fol­low our posts on Threads, Face­book, BlueSky or Mastodon.

If you would like to sup­port the mis­sion of Open Cul­ture, con­sid­er mak­ing a dona­tion to our site. It’s hard to rely 100% on ads, and your con­tri­bu­tions will help us con­tin­ue pro­vid­ing the best free cul­tur­al and edu­ca­tion­al mate­ri­als to learn­ers every­where. You can con­tribute through Pay­Pal, Patre­on, and Ven­mo (@openculture). Thanks!

Relat­ed Con­tent:

Learn Python: A Free Online Course from Google

Learn How to Code for Free: A DIY Guide for Learn­ing HTML, Python, Javascript & More

Down­load 243 Free eBooks on Design, Data, Soft­ware, Web Devel­op­ment & Busi­ness from O’Reilly Media

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Artificial Intelligence: A Free Online Course from MIT

Today we’re adding MIT’s course on Arti­fi­cial Intel­li­gence to our ever-grow­ing col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties. That’s because, to para­phrase Ama­zon’s Jeff Bezos, arti­fi­cial intel­li­gence (AI) is “not just in the first inning of a long base­ball game, but at the stage where the very first bat­ter comes up.” Look around, and you will find AI everywhere–in self dri­ving cars, Siri on your phone, online cus­tomer sup­port, movie rec­om­men­da­tions on Net­flix, fraud detec­tion for your cred­it cards, etc. To be sure, there’s more to come.

Fea­tur­ing 30 lec­tures, MIT’s course “intro­duces stu­dents to the basic knowl­edge rep­re­sen­ta­tion, prob­lem solv­ing, and learn­ing meth­ods of arti­fi­cial intel­li­gence.” It includes inter­ac­tive demon­stra­tions designed to “help stu­dents gain intu­ition about how arti­fi­cial intel­li­gence meth­ods work under a vari­ety of cir­cum­stances.” And, by the end of the course, stu­dents should be able “to devel­op intel­li­gent sys­tems by assem­bling solu­tions to con­crete com­pu­ta­tion­al prob­lems; under­stand the role of knowl­edge rep­re­sen­ta­tion, prob­lem solv­ing, and learn­ing in intel­li­gent-sys­tem engi­neer­ing; and appre­ci­ate the role of prob­lem solv­ing, vision, and lan­guage in under­stand­ing human intel­li­gence from a com­pu­ta­tion­al per­spec­tive.”

Taught by Prof. Patrick Hen­ry Win­ston, the lec­tures can all be viewed above. Or watch them on YouTube and iTunes. Relat­ed course mate­ri­als (includ­ing a syl­labus) can be found on this MIT web­site. The text­book, avail­able on Ama­zon, was writ­ten by Pro­fes­sor Win­ston.

If you would like to sign up for Open Culture’s free email newslet­ter, please find it here. Or fol­low our posts on Threads, Face­book, BlueSky or Mastodon.

If you would like to sup­port the mis­sion of Open Cul­ture, con­sid­er mak­ing a dona­tion to our site. It’s hard to rely 100% on ads, and your con­tri­bu­tions will help us con­tin­ue pro­vid­ing the best free cul­tur­al and edu­ca­tion­al mate­ri­als to learn­ers every­where. You can con­tribute through Pay­Pal, Patre­on, and Ven­mo (@openculture). Thanks!

Relat­ed Con­tent:

Free Online Com­put­er Sci­ence Cours­es

Hayao Miyaza­ki Tells Video Game Mak­ers What He Thinks of Their Char­ac­ters Made with Arti­fi­cial Intel­li­gence: “I’m Utter­ly Dis­gust­ed. This Is an Insult to Life Itself”

Arti­fi­cial Intel­li­gence Pro­gram Tries to Write a Bea­t­les Song: Lis­ten to “Daddy’s Car”

Two Arti­fi­cial Intel­li­gence Chat­bots Talk to Each Oth­er & Get Into a Deep Philo­soph­i­cal Con­ver­sa­tion

Noam Chom­sky Explains Where Arti­fi­cial Intel­li­gence Went Wrong

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36 eBooks on Computer Programming from O’Reilly Media: Free to Download and Read

This past week, we fea­tured a free course on the pro­gram­ming lan­guage Python, pre­sent­ed by MIT. A handy resource, to be sure.

And then it struck us that you might want to com­ple­ment that course with some of the 36 free ebooks on com­put­er pro­gram­ming from O’Reilly Media–of which 7 are ded­i­cat­ed to Python itself. Oth­er books focus on Java, C++, Swift, Soft­ware Archi­tec­ture, and more. See the list of pro­gram­ming books here.

If you’re look­ing for yet more free ebooks from O’Reilly Media, see the post in our archive: Down­load 243 Free eBooks on Design, Data, Soft­ware, Web Devel­op­ment & Busi­ness from O’Reilly Media.\

For more com­put­er sci­ence resources, see our col­lec­tions:

Free Online Com­put­er Sci­ence Cours­es

Free Text­books: Com­put­er Sci­ence

If you would like to sign up for Open Culture’s free email newslet­ter, please find it here. Or fol­low our posts on Threads, Face­book, BlueSky or Mastodon.

If you would like to sup­port the mis­sion of Open Cul­ture, con­sid­er mak­ing a dona­tion to our site. It’s hard to rely 100% on ads, and your con­tri­bu­tions will help us con­tin­ue pro­vid­ing the best free cul­tur­al and edu­ca­tion­al mate­ri­als to learn­ers every­where. You can con­tribute through Pay­Pal, Patre­on, and Ven­mo (@openculture). Thanks!

Relat­ed Con­tent:

Learn Python: A Free Online Course from Google

Free Online Com­put­er Sci­ence Cours­es

Learn Python with a Free Online Course from MIT

800 Free eBooks for iPad, Kin­dle & Oth­er Devices

A Free Course on Machine Learning & Data Science from Caltech

Right now, Machine Learn­ing and Data Sci­ence are two hot top­ics, the sub­ject of many cours­es being offered at uni­ver­si­ties today. Above, you can watch a playlist of 18 lec­tures from a course called Learn­ing From Data: A Machine Learn­ing Course, taught by Cal­tech’s Feyn­man Prize-win­ning pro­fes­sor Yas­er Abu-Mostafa. The course is sum­ma­rized as fol­lows:

This is an intro­duc­to­ry course in machine learn­ing (ML) that cov­ers the basic the­o­ry, algo­rithms, and appli­ca­tions. ML is a key tech­nol­o­gy in Big Data, and in many finan­cial, med­ical, com­mer­cial, and sci­en­tif­ic appli­ca­tions. It enables com­pu­ta­tion­al sys­tems to adap­tive­ly improve their per­for­mance with expe­ri­ence accu­mu­lat­ed from the observed data. ML has become one of the hottest fields of study today, tak­en up by under­grad­u­ate and grad­u­ate stu­dents from 15 dif­fer­ent majors at Cal­tech. This course bal­ances the­o­ry and prac­tice, and cov­ers the math­e­mat­i­cal as well as the heuris­tic aspects. The lec­tures fol­low each oth­er in a sto­ry-like fash­ion.

A real Cal­tech course (it’s not watered down at all), the course assumes a famil­iar­i­ty with basic prob­a­bil­i­ty, matri­ces, and cal­cu­lus.

Start your future with a Data Science Certificate.

The lec­tures can be found on YouTubeiTunes U and this Cal­tech web­site, which hosts slides and oth­er course mate­ri­als. The pro­fes­sor wrote the course text­book, also called Learn­ing from Data.

Learn­ing From Data will be per­ma­nent­ly added to our list of Free Online Com­put­er Sci­ence Cours­es, part of our ever-grow­ing col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.

If you would like to sign up for Open Culture’s free email newslet­ter, please find it here. Or fol­low our posts on Threads, Face­book, BlueSky or Mastodon.

If you would like to sup­port the mis­sion of Open Cul­ture, con­sid­er mak­ing a dona­tion to our site. It’s hard to rely 100% on ads, and your con­tri­bu­tions will help us con­tin­ue pro­vid­ing the best free cul­tur­al and edu­ca­tion­al mate­ri­als to learn­ers every­where. You can con­tribute through Pay­Pal, Patre­on, and Ven­mo (@openculture). Thanks!

Relat­ed Con­tent:

Down­load 243 Free eBooks on Design, Data, Soft­ware, Web Devel­op­ment & Busi­ness from O’Reilly Media

The Pio­neer­ing Physics TV Show, The Mechan­i­cal Uni­verse, Is Now on YouTube: 52 Com­plete Episodes from Cal­tech

The Neu­ronal Basis of Con­scious­ness Course: A Free Online Course from Cal­tech

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Neural Networks for Machine Learning: A Free Online Course

The 78-video playlist above comes from a course called Neur­al Net­works for Machine Learn­ing, taught by Geof­frey Hin­ton, a com­put­er sci­ence pro­fes­sor at the Uni­ver­si­ty of Toron­to. The videos were cre­at­ed for a larg­er course taught on Cours­era, which gets re-offered on a fair­ly reg­u­lar­ly basis.

Neur­al Net­works for Machine Learn­ing will teach you about “arti­fi­cial neur­al net­works and how they’re being used for machine learn­ing, as applied to speech and object recog­ni­tion, image seg­men­ta­tion, mod­el­ing lan­guage and human motion, etc.” The cours­es empha­sizes ” both the basic algo­rithms and the prac­ti­cal tricks need­ed to get them to work well.” It’s geared for an inter­me­di­ate lev­el learn­er — com­fort­able with cal­cu­lus and with expe­ri­ence pro­gram­ming Python. [Get a free course on Python here.]

You can find the video playlist on YouTube. It’s also indexed in our col­lec­tion of Free Com­put­er Sci­ence cours­es, part of our meta col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.

If you would like to sign up for Open Culture’s free email newslet­ter, please find it here. Or fol­low our posts on Threads, Face­book, BlueSky or Mastodon.

If you would like to sup­port the mis­sion of Open Cul­ture, con­sid­er mak­ing a dona­tion to our site. It’s hard to rely 100% on ads, and your con­tri­bu­tions will help us con­tin­ue pro­vid­ing the best free cul­tur­al and edu­ca­tion­al mate­ri­als to learn­ers every­where. You can con­tribute through Pay­Pal, Patre­on, and Ven­mo (@openculture). Thanks!

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Are We Living Inside a Computer Simulation?: An Introduction to the Mind-Boggling “Simulation Argument”

The idea that we are liv­ing in a vast com­put­er sim­u­la­tion as hyper-sophis­ti­cat­ed sim­u­lat­ed char­ac­ters with lim­it­ed self-aware­ness sounds like the kind of thing that issues forth from stoned phi­los­o­phy majors in late night dorm room ses­sions. And no doubt it has, thou­sands of times over, espe­cial­ly after 1999, when The Matrix debuted and turned an amal­gam of Pla­to, Descartes, Berke­ley, and oth­er meta­physi­cians into a then-cut­ting-edge sci-fi kung fu flick.

But is it a ridicu­lous idea? The obvi­ous objec­tion that first aris­es is: how could we pos­si­bly ever know? Com­put­er sim­u­lat­ed char­ac­ters, after all, have no abil­i­ty to step beyond the con­fines of the worlds designed for them by pro­gram­mers, a lim­i­ta­tion illus­trat­ed when one reach­es a dead-end in a game and finds that, while there may be the image of a for­est or a field, the game design­ers have seen no need to actu­al­ly cre­ate the envi­ron­ment. Our char­ac­ter bumps up against the game’s edge stu­pid­ly, until we tog­gle the con­trols and move it back into the pre­scribed field of play.

But (fire up your bongs), does the char­ac­ter know it’s reached a dead end? And if the uni­verse is a sim­u­la­tion, who’s run­ning the damned thing? And why? Wel­come to “the sim­u­la­tion argu­ment,” a the­o­ry endorsed by philoso­pher and futur­ol­o­gist Nick Bostrom, Tes­la and Space X founder Elon Musk, and quite a few oth­er non-dorm-dwelling thinkers. “Many peo­ple have imag­ined this sce­nario over the years,” writes Joshua Roth­man at The New York­er, “usu­al­ly while high. But recent­ly, a num­ber of philoso­phers, futur­ists, sci­ence-fic­tion writ­ers, and technologists—people who share a near-reli­gious faith in tech­no­log­i­cal progress—have come to believe that the sim­u­la­tion argu­ment is not just plau­si­ble, but inescapable.”

Giv­en their qua­si-reli­gious bent, are these tech­nol­o­gists and futur­ists sim­ply replac­ing a cre­ator-god with a cre­ator-coder to flat­ter them­selves? Judge for your­self, first­ly per­haps by lis­ten­ing to Musk explain the con­cept in brief at a Recode Con­fer­ence above. (If you find your­self com­fort­ed by his answer, you may just be a game design­er.) Then, for a more sprawl­ing, pop-cul­tur­al dive into the sim­u­la­tion argu­ment, spend an hour with The Sim­u­la­tion Hypoth­e­sis at the top of the post, a doc­u­men­tary that—depending on the laws of your cur­rent place of residence—may or may not be enhanced by an edi­ble.

We might also ref­er­ence Bostrom’s 2003 arti­cle—or watch him describe his posi­tion in the video below. Bostrom spec­u­lates that we might be liv­ing in an “ances­tor sim­u­la­tion” run by an incred­i­bly advanced civ­i­liza­tion thou­sands of years in our future. Like Musk, writes Roth­man, he con­cludes that “we are far more like­ly to be liv­ing inside a sim­u­la­tion right now than to be liv­ing out­side of one.” The pos­si­bil­i­ty rais­es all sorts of dis­turb­ing ques­tions about the real­i­ty of choice, the moral mean­ing of our actions, and the nature of human iden­ti­ty. These are ques­tions philoso­phers (and Philip K. Dick) have always asked, but until recent­ly, they had lit­tle recourse to inde­pen­dent con­fir­ma­tion of their hypothe­ses. Now, as you’ll dis­cov­er in The Sim­u­la­tion Hypoth­e­sis, physi­cists have begun to dis­cov­er that “our uni­verse isn’t an objec­tive real­i­ty.”

It is indeed per­fect­ly plau­si­ble, giv­en the expo­nen­tial speed with which tech­nol­o­gy advances, that we will be able to run sim­u­la­tions with the same lev­el of sophis­ti­ca­tion as our real­i­ty in a mat­ter of a few gen­er­a­tions or less… pro­vid­ed we don’t destroy our­selves first or com­plete­ly lose inter­est. Which answers the ques­tion of who might be run­ning the pro­gram. As with the high­er beings in Inter­stel­lar who reach back to give the dying human species a hand, “there is,” writes Roth­man, “no sanc­ti­ty or holi­ness in the sim­u­la­tion argu­ment. The peo­ple out­side the sim­u­la­tion aren’t gods,” or even aliens, “they’re us.” Or some suf­fi­cient­ly evolved ver­sion, that is, whose tech­no­log­i­cal achieve­ments would like­ly seem to us like mag­ic.

The Sim­u­la­tion Hypoth­e­sis will be added to our list of Free Doc­u­men­taries, a sub­set of our col­lec­tion, 4,000+ Free Movies Online: Great Clas­sics, Indies, Noir, West­erns, Doc­u­men­taries & More.

Relat­ed Con­tent:

Free Online Phi­los­o­phy Cours­es, a sub­set of our col­lec­tion 1,700 Free Online Cours­es from Top Uni­ver­si­ties

Philip K. Dick The­o­rizes The Matrix in 1977, Declares That We Live in “A Com­put­er-Pro­grammed Real­i­ty”

What Do Most Philoso­phers Believe? A Wide-Rang­ing Sur­vey Project Gives Us Some Idea

Daniel Den­nett and Cor­nel West Decode the Phi­los­o­phy of The Matrix

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

Alan Turing Gets Channeled in a New Opera: Hear Audio from The Life And Death(S) Of Alan Turing

Cre­ative Com­mons image by Steve Park­er

It can seem like a cru­el irony that some of the most cel­e­brat­ed peo­ple of our day did­n’t receive the same acclaim dur­ing their some­times trou­bled lives. Van Gogh may have been on the cusp of fame when he died despair­ing and broke, but few could have imag­ined then that he would be the uni­ver­sal­ly beloved and admired artist he became in the fol­low­ing decades. (A recent Doc­tor Who episode poignant­ly imag­ined Van Gogh trav­el­ing to our time to wit­ness his lega­cy.) In a more recent exam­ple in the sci­ences, the book—now film—Hid­den Fig­ures cel­e­brates three pre­vi­ous­ly unsung African-Amer­i­can women: math­e­mati­cians, or “human com­put­ers,” whose cal­cu­la­tions were instru­men­tal to NASA’s suc­cess but whose accom­plish­ments were obscured by prej­u­dice.

The same could not quite be said for Alan Tur­ing, anoth­er genius recent­ly cel­e­brat­ed in a mul­ti­ple-award-win­ning Hol­ly­wood film, award-win­ning doc­u­men­tary, and spate of arti­cles, essays, and books. Tur­ing was vicious­ly per­se­cut­ed for his homo­sex­u­al­i­ty by the state, and he has often been unfair­ly char­ac­ter­ized in many por­tray­als since.

In 1952, he was con­vict­ed of “gross inde­cen­cy” for a rela­tion­ship with anoth­er man and giv­en the choice between prison and chem­i­cal cas­tra­tion. The bril­liant Eng­lish math­e­mati­cian, code­break­er, and father of mod­ern com­put­ing and arti­fi­cial intel­li­gence chose the lat­ter, and the phys­i­cal and psy­cho­log­i­cal effects were so demor­al­iz­ing that he took his own life two years later—perhaps grim­ly inspir­ing the Apple logo as he enact­ed his favorite scene from Snow White (a mat­ter in some dis­pute, it should be not­ed).

Tur­ing “left behind a last­ing lega­cy,” note the mak­ers of the docu-dra­ma Code­break­ers, “and lin­ger­ing ques­tions about what else he might have accom­plished if soci­ety had embraced his unique genius instead of reject­ing it.” It’s not fair to say that soci­ety reject­ed his genius—perhaps even more trag­i­cal­ly, it reject­ed his full human­i­ty. Turing’s genius, though cut short at 41, received its due, inspir­ing, since 1966, the high­est award in com­put­er sci­ence. His famed “Tur­ing test” became the stan­dard by which near­ly all attempts at arti­fi­cial intel­li­gence have been mea­sured. In addi­tion to those films, books, and essays, Tur­ing has been much laud­ed in musi­cal pro­duc­tions, name­ly the Pet Shop Boys “orches­tral pop biog­ra­phy” A Man From the Future and a 30-minute ora­to­rio by Adam Gop­nik and com­pos­er Nico Muh­ly called Sen­tences.

And now, a new two-act opera, The Life and Death(s) of Alan Tur­ing, was pre­sent­ed to the pub­lic for the first time, in its entire­ty, on Jan­u­ary 12th at New York’s Amer­i­can Lyric The­ater (ALT). Com­mis­sioned in 2012, and writ­ten by com­pos­er Jus­tine Chen with a libret­to by David Sim­pati­co, the opera is “a his­toric-fan­ta­sia on Turing’s life” that does not obscure the man as it acknowl­edges his genius. Many crit­ics felt that 2014’s The Imi­ta­tion Game “obfus­cat­ed his sex­u­al­i­ty and desex­u­al­ized him in an attempt to make the sto­ry more main­stream,” remarks Shawn Milnes at The Dai­ly Beast. “He was not a sex­u­al crea­ture in this movie,” agrees Sim­pati­co. “He was in the clos­et.” That impres­sion of Tur­ing’s per­son­al life has almost become com­mon­place. And yet the truth “could­n’t be more oppo­site,” Sim­pati­co argues.

He was com­plete­ly out. He was out upon meet­ing peo­ple. He would say, ‘How are you doing? I’m a homo­sex­u­al. Will you have a prob­lem with that? No.’ He was out to every­body. The movie makes it feel like he had some­thing to hide.

Ful­ly acknowl­edg­ing all of the dimen­sions of Turing’s life allows the opera–The Life and Death(s) of Alan Tur­ing– to draw deeply mov­ing arias from his biog­ra­phy like “Cave of Won­ders,” above, in which Tur­ing express­es “his grief over the loss of his first love,” Christo­pher Mor­com, a fel­low grade school stu­dent who died young in 1930. Tur­ing was “open­ly dev­as­tat­ed” by the event, writes L.V. Ander­son at Slate, “and he sub­se­quent­ly devel­oped a rela­tion­ship with Morcom’s fam­i­ly, going on vaca­tions with them and main­tain­ing a cor­re­spon­dence with Morcom’s moth­er for years. In The Imi­ta­tion Game, by con­trast, he “denies hav­ing known Christo­pher very well” in a flash­back scene.

The music of the opera’s Pro­logue, above, owes a debt to com­posers like Steve Reich and John Adams, with its puls­ing piano and cacoph­o­ny of voic­es, sim­u­lat­ing, per­haps, the rush of thought in Turing’s bril­liant mind. At the ALT site, you can hear a fur­ther excerpt from the opera, “The Social Con­tract,” which dra­ma­tizes the pres­sure Turing’s moth­er put on him to mar­ry, and his sub­se­quent con­sid­er­a­tion of a mar­riage of con­ve­nience to his col­league in cryp­to­analy­sis, Joan Clarke. In the opera, writes Milnes, Sim­pati­co had the idea of “fus­ing sex and intel­lect on stage” in order to bal­ance Turing’s por­tray­al and “see who the per­son was,” as he puts it. As Sim­pati­co says, the trag­i­cal­ly per­se­cut­ed genius “had no divi­sion between his sex­u­al, sen­su­al, phys­i­cal car­nal self and his intel­lec­tu­al, cere­bral, inte­ri­or self.” Only peo­ple who couldn’t take them both togeth­er seemed to have found it nec­es­sary to sep­a­rate the two, and thus do ter­ri­ble dam­age to the man as a whole.

Relat­ed Con­tent:

The Books on Young Alan Turing’s Read­ing List: From Lewis Car­roll to Mod­ern Chro­mat­ics

Hear the First Record­ing of Com­put­er Music: Researchers Restore Three Melodies Pro­grammed on Alan Turing’s Com­put­er (1951)

Bene­dict Cum­ber­batch Reads a Let­ter Alan Tur­ing Wrote in “Dis­tress” Before His Con­vic­tion For “Gross Inde­cen­cy”

Vin­cent van Gogh Vis­its a Mod­ern Muse­um & Gets to See His Artis­tic Lega­cy: A Touch­ing Scene from Doc­tor Who

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

What Does Jorge Luis Borges’ “Library of Babel” Look Like? An Accurate Illustration Created with 3D Modeling Software

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Sketchup ren­der­ings of the Library of Babel. Images cour­tesy of Jamie Zaw­in­s­ki.

Ful­fill­ing the max­im “write what you know,” Argen­tine fab­u­list Jorge Luis Borges penned one of his most extra­or­di­nary and bewil­der­ing sto­ries, “The Library of Babel,” while employed as an assis­tant librar­i­an. Borges, it has been noted—by Borges him­self in his 1970 New York­er essay “Auto­bi­o­graph­i­cal Notes”—found the work drea­ry and unful­fill­ing: “nine years of sol­id unhap­pi­ness,” as he put it plain­ly. “Some­times in the evening, as I walked the ten blocks to the tram­line, my eyes would be filled with tears.”

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And yet, for all of its tedi­um, his library posi­tion suit­ed his needs as a writer like none oth­er could. “I would do all my library work in the first hour,” he remem­bers, “and then steal away to the base­ment and pass the oth­er five hours in read­ing or writ­ing.” Dur­ing those stolen hours, Borges dreamed up a library the size of the uni­verse, “com­posed of an indef­i­nite and per­haps infi­nite num­ber of hexag­o­nal gal­leries, with vast air shafts between, sur­round­ed by very low rail­ings.” Like so many of the objects and places in Borges’ sto­ries, this fan­tas­tic struc­ture, Esch­er-like, is both vivid­ly described and impos­si­ble to imag­ine.

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Many have tried their hand at visu­al­ly ren­der­ing the Library of Babel, but accord­ing to pro­gram­mer Jamie Zaw­in­s­ki, “past attempts,” writes Carey Dunne at Hyper­al­ler­gic, “aren’t faith­ful to the text,” omit­ting cru­cial struc­tures like the “sleep cham­ber, lava­to­ry, and hall­way” and screw­ing up “the place­ment of the spi­ral stair­way.” You can see Zawinski’s var­i­ous cri­tiques of these sup­posed fail­ures on his blog, JWZ. And you may won­der how it’s even pos­si­ble to con­struct an accu­rate mod­el of a struc­ture that may have no finite bound­aries and whose inter­nal archi­tec­ture the sto­ry itself calls into ques­tion. Nonethe­less, Zaw­in­s­ki has bold­ly giv­en it a try.

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Using the 3D mod­el­ing pro­gram Sketchup, he has designed what he believes to be a mod­el supe­ri­or to the rest, though he admits “I don’t think this is quite right either.” If you’re won­der­ing “Why is he doing this?” Zaw­in­s­ki writes, “you and I have that in com­mon.” The Bor­ge­sian task, like that of the librar­i­an, is an end­less one, pur­sued with scholas­tic rig­or for its own sake rather than for some great reward. And once one enters the labyrinth of his twist­ing designs, there may be no way out but eter­nal­ly through. “The pos­si­bil­i­ty of a man’s find­ing his Vin­di­ca­tion,” writes Borges weari­ly of cer­tain librar­i­ans’ attempts to solve the library’s rid­dles, “or some treach­er­ous vari­a­tion there­of, can be com­put­ed as zero.”

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So Zaw­in­s­ki trudges on. His “wrestling with the details of his ren­der­ing,” writes Dunne, “his obses­sive analy­sis of the word­ing of Borges’ descrip­tion, recalls the library inhab­i­tants’ futile quests to deci­pher the mys­ter­ies of the library.” The programmer’s admirable atten­tion to the physics of the space may at times sound like a rather lead­en way to approach what is essen­tial­ly an elab­o­rate metaphor: “I can’t help but think about the weight and pres­sure of a col­umn of air that high,” he mus­es in his ini­tial explo­rations, “and what is it sit­ting on, and how to route the plumb­ing from all of those toi­lets, and that toi­lets imply diges­tion, so where does the food come from?”

Such ques­tions take him far afield of Borges’ theo-philo­soph­i­cal para­ble: “Is there a sec­tion of the library devot­ed to farm­ing, and met­al­lur­gy?” Nonethe­less, Zawinski’s detailed analy­sis has pro­duced a visu­al­iza­tion of the space like none oth­er, and he admits to “over­think­ing a sub-infi­nite but near­ly bound­less hill of beans.” Borges’ imag­i­nary librar­i­an has aban­doned try­ing to solve the library’s mys­ter­ies. Hum­bled by the fail­ures of those who came before him, he per­sists in the “ele­gant hope” that the library “is unlim­it­ed and cycli­cal… repeat­ed in the same dis­or­der… which, thus repeat­ed, would be an order: the Order.” He wise­ly leaves the ulti­mate meta­phys­i­cal dis­cov­ery, how­ev­er, to “an eter­nal trav­el­er” with infi­nite time on their hands.

You can view Zawinski’s com­men­tary here, and see his designs here. On the bot­tom of this page, he lets you down­load his Sketchup file.

via Hyper­al­ler­gic

Relat­ed Con­tent:

Vis­it The Online Library of Babel: New Web Site Turns Borges’ “Library of Babel” Into a Vir­tu­al Real­i­ty

Jorge Luis Borges Selects 74 Books for Your Per­son­al Library

Jorge Luis Borges’ Favorite Short Sto­ries (Read 7 Free Online)

Josh Jones is a writer and musi­cian based in Durham, NC. Fol­low him at @jdmagness

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