Adesua Lean: Ɔfa 1

\u003ch2\u003eAdesua Lean: Ɔfa 1\u003c/h2\u003e \u003cp\u003eAsɛm yi de nhumu ne nsɛm a ɛsom bo ma wɔ n'asɛmti ho, na ɛboa ma nimdeɛ kyɛ ne nteaseɛ.\u003c/p\u003e \u003ch3\u003eNneɛma a Wɔde Fa Nneɛma Titiriw\u003c/h3\u003e \u003cp\u003eAkenkanfoɔ bɛtumi ahwɛ kwan sɛ wɔbɛnya mfasoɔ:\u003c/p\u003e \u003cul\u003e na ɛwɔ hɔ \u003cli\u003eNteaseɛ a emu dɔ wɔ asɛmti no ho\u003c/li\u003e \u003cli\u003eNneɛma a wɔde di dwuma a mfaso wɔ so ne wiase ankasa mu mfaso\u003c/li\u003e \u003cli\u003eAnimdefoɔ adwene ne nhwehwɛmu\u003c/li\u003e \u003cli\u003eNsɛm a wɔayɛ no foforo a ɛfa mprempren nkɔso ho\u003c/li\u003e \u003c/ul\u003e na ɛyɛ adwuma \u003ch3\u003eBoɔ a Wɔde Di Dwuma\u003c/h3\u003e \u003cp\u003eNsɛm a ɛyɛ papa te sɛ yei boa ma wɔkyekye nimdeɛ na ɛhyɛ gyinaesie a ɛwɔ nimdeɛ ho nkuran wɔ nnwuma ahodoɔ mu.\u003c/p\u003e

Nsɛmmisa a Wɔtaa Bisa

Dɛn ne Lean na adɛn nti na ɛsɛ sɛ misua?

Lean yɛ dwumadie dwumadie kasa ne nkitahodiɛ theorem prover a Microsoft Research na ɛyɛeɛ. Ɛma wo kwan ma wokyerɛw koodu a wɔagye atom wɔ akontaabu mu, na ɛhwɛ hu sɛ ɛteɛ wɔ bere a wɔaboaboa ano no mu. Learning Lean som bo ma softwea mfiridwumayɛfo a wɔn ani gye ho sɛ wɔbɛyɛ nokwaredi a wɔahyɛ da ayɛ, akontaabufo a wɔhwehwɛ adanse a wɔde kɔmputa boa, ne obiara a ɔpɛ sɛ ɔkyerɛw softwea a wotumi de ho to so kɛse. Ne mpɔtam a ɛrenya nkɔanim ne dwumadie a mfasoɔ wɔ so wɔ adesua ne nnwuma nyinaa mu ma ɛyɛ wo berɛ a mfasoɔ wɔ so.

So mehia akontabuo ho nimdeɛ na matumi ahyɛ aseɛ wɔ Lean?

Dabi, akontaabu ho nimdeɛ a emu dɔ ho nhia na woafi ase asua Lean. Bere a ntease titiriw ne nhyehyɛe ho nsusuwii a wonim no yiye boa no, wɔn a wɔrefi ase no pii fi ase denam dwumadi ho osuahu nkutoo so. Ɔfã 1 a ɛwɔ saa nsɛm a ɛtoatoa so yi mu no ka fapem nsusuwii ahorow ho asɛm wɔ ɔkwan a wotumi nya so. Platforms te sɛ Mewayz de adesua akwan a wɔahyehyɛ ma wɔ module 207 a efi ase fi $19/mo, boa wo ma wokyekye akontaabu mu nkate a ɛho hia no ka wo Lean nhyehyɛe ho nimdeɛ ho nkakrankakra.

Ɔkwan bɛn so na Lean yɛ soronko wɔ programming kasa afoforo ho?

Nea ɛnte sɛ kasa a wɔtaa de di dwuma no, Lean de nhyehyɛe ne adanse a wɔde di dwuma wɔ ɔkwan a ɛfata so bom. Baabi a kasa te sɛ Python anaa Java de wɔn ho to sɔhwɛ so de kyere mfomso ahorow no, Lean ma wutumi de akontaabu kyerɛ sɛ wo koodu no teɛ. Ɛde dependent types di dwuma, a ɛma types gyina values ​​so, na ɛma expressive specifications tumi yɛ adwuma. Lean 4, nea aba foforo no nso yɛ adwuma sɛ kasa a wɔde di dwuma wɔ ɔkwan a ɛkɔ akyiri so a ɛwɔ akansi adwumayɛ, na ɛma ɛyɛ nea mfaso wɔ so sen adesua mu dwumadie nko ara.

Nnwuma bɛn na metumi ayɛ bere a meresua Lean?

Sɛ́ obi a ɔrefi ase no, wubetumi afi ase denam akontaabu adanse a ɛnyɛ den a wobɛhyehyɛ, data nhyehyɛe a wɔagye atom a wobɛkyekye, ne algorithms a ɛda adi sɛ ɛteɛ te sɛ nhyehyɛe anaa hwehwɛ dwumadi ahorow a wobɛkyerɛw so. Bere a worekɔ w’anim no, Lean boa nnwuma akɛse a nea ɛka ho ne compilers a wɔagye atom, cryptographic protocol verification, ne akontaabu a wɔahyɛ da ayɛ. Mewayz de nsaanodwuma module ahorow a ɛkyerɛ wo kwan wɔ nnwuma a ɛyɛ den nkakrankakra mu, hwɛ hu sɛ wubenya osuahu a mfaso wɔ so aka nsusuwii mu ntease ho wɔ w’adesua akwantu no nyinaa mu.

mu ma