All language subtitles for 3. Binary

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranรฎ)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
rm Romansh
nyn Runyakitara
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:10,600 --> 00:00:15,200 You might be wondering how our computers get these ones and zeros. 2 00:00:15,200 --> 00:00:17,780 It's a great question. Imagine we have a light bulb and 3 00:00:17,780 --> 00:00:21,260 a switch that turns the state of the light on or off. 4 00:00:21,260 --> 00:00:22,865 If we turn the light on, 5 00:00:22,865 --> 00:00:24,960 we can denote that state is one. 6 00:00:24,960 --> 00:00:26,615 If the light bulb is off, 7 00:00:26,615 --> 00:00:28,550 we can represent the state is zero. 8 00:00:28,550 --> 00:00:30,785 Now imagine eight light bulbs and switches, 9 00:00:30,785 --> 00:00:34,925 that represents eight bits with a state of zero or one. 10 00:00:34,925 --> 00:00:38,530 Let's backtrack to the punched cards that were used in Jacquard's loom. 11 00:00:38,530 --> 00:00:41,200 Remember that the loom used cards with holes in them. 12 00:00:41,200 --> 00:00:44,951 When the loom would reach a hole it would hooked to thread underneath, 13 00:00:44,951 --> 00:00:46,685 meaning that the loom was on. 14 00:00:46,685 --> 00:00:48,155 If there wasn't a hole, 15 00:00:48,155 --> 00:00:51,250 it would not hook the thread, so it was off. 16 00:00:51,250 --> 00:00:53,795 This is a foundational binary concept. 17 00:00:53,795 --> 00:00:56,469 By utilizing the two states of on or off, 18 00:00:56,469 --> 00:01:01,195 Jacquard was able to weave intricate patterns of the fabric with his looms. 19 00:01:01,195 --> 00:01:04,197 Then the industry started refining the punch cards a little more. 20 00:01:04,197 --> 00:01:05,300 If there was a hole, 21 00:01:05,300 --> 00:01:06,845 the computer would read one. 22 00:01:06,845 --> 00:01:09,205 If there wasn't a hole, it would read zero. 23 00:01:09,205 --> 00:01:13,095 Then, by just translating the combination of zeros and ones, 24 00:01:13,095 --> 00:01:16,530 our computer could calculate any possible amount of numbers. 25 00:01:16,530 --> 00:01:19,720 Binary in today's computer isn't done by reading holes. 26 00:01:19,720 --> 00:01:24,680 It uses electricity via transistors allowing electrical signals to pass through. 27 00:01:24,680 --> 00:01:25,935 There's an electric voltage, 28 00:01:25,935 --> 00:01:27,485 we would denote it as one. 29 00:01:27,485 --> 00:01:29,975 If there isn't, we would denote it by zero. 30 00:01:29,975 --> 00:01:34,445 For just having transistors isn't enough for our computer to be able to do complex tasks. 31 00:01:34,445 --> 00:01:37,535 Imagine if you had two light switches on opposite ends of a room, 32 00:01:37,535 --> 00:01:39,415 each controlling a light in the room. 33 00:01:39,415 --> 00:01:42,815 What if when you went to turn on the light with one switch, 34 00:01:42,815 --> 00:01:44,755 the other switch wouldn't turn off? 35 00:01:44,755 --> 00:01:46,875 That would be a very poorly designed loom. 36 00:01:46,875 --> 00:01:51,965 Both switches should either turn the light on or off depending on the state of the light. 37 00:01:51,965 --> 00:01:54,325 Fortunately, we have something known as logic gates. 38 00:01:54,325 --> 00:01:57,760 Logic gates allow our transistors to do more complex tasks, 39 00:01:57,760 --> 00:02:02,410 like decide where to send electrical signals depending on logical conditions. 40 00:02:02,410 --> 00:02:04,450 There are lots of different types of logic gates, 41 00:02:04,450 --> 00:02:06,570 but we won't discuss them in detail here. 42 00:02:06,570 --> 00:02:07,930 If you're curious about the role that 43 00:02:07,930 --> 00:02:11,005 transistors and logic gates play in modern circuitry, 44 00:02:11,005 --> 00:02:13,680 you can read more about it in the supplementary reading. 45 00:02:13,680 --> 00:02:15,790 Now we know how our computer gets its ones and 46 00:02:15,790 --> 00:02:18,505 zeros to calculate into meaningful instructions. 47 00:02:18,505 --> 00:02:21,820 Later in this course, we'll be able to talk about how we're able to turn 48 00:02:21,820 --> 00:02:24,160 human-readable instructions into zeros and 49 00:02:24,160 --> 00:02:26,855 ones that are computer understands through a compilers. 50 00:02:26,855 --> 00:02:29,140 That's one of the very basic building blocks of 51 00:02:29,140 --> 00:02:33,155 programming that's led to the creation of our favorite social media sites, 52 00:02:33,155 --> 00:02:35,515 video games, and just about everything else. 53 00:02:35,515 --> 00:02:40,000 And I'm super excited to teach you how to count in binary, that's up next. 4738

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.