Jeremy Yu

Jeremy

Formal
- Algorithm
  - disjointset
- Common
- Docker
  - docker
- Javascript
- Network
- Node
- Summary
notes
- LowCodeProject
  - howItWorks
  - progress
- MCU
  - MCU8051
  - commandSystem
  - introduction
- MC_MP_Programming
  - MPI
  - accelerators
  - intro
  - openMP
- advancedAlgorithmicTech
  - AsympoticNotation
  - DerandomisationandRandomisedRounding
  - Graph
  - Greedy
  - Intro
  - RandomWalksandSAT
  - SearchingLogarithmicTime
  - dynamicProgramming
  - networkFlow
  - onlineAlgorithm
- algorithm
  - dynamicProgramming
  - sorting
- algorithmGameTheory
  - ProfitMaximization
  - conbinationAuctions
  - congestionGames
  - intro
  - loadBalanceGames
  - mechanismDesign
  - mechanismWithMoney
  - mechanismsWithoutMoney
  - networkGames
  - review
- compilation
  - compiler
  - intro
  - lexicalAnalysis
- computerCompose
  - catalog
- controlSystem
  - catalog
- dataStructure
  - heap
  - leetCode
  - linearList
  - mod
- efficientAlgorithm
  - Intro
  - Lec2
- frontend
  - cache
- higherMath
  - catalog
- javascript
  - basic
  - nextjs
  - react
  - svelte
  - vue
- linearMath
  - catalog
- machineLearning
  - gradientDescent
  - intro
  - linearRegression
  - multipleFeatures
- network
  - catalog
- privacy_security
  - DiffieHellmanKeyExchange
  - MessageAuthenticationAndHashFunctions
  - PublicKeyEncryption
  - Review
  - Steganography
  - elementsOfCryptography
  - homomorphicEncryptionAndCryptDB
  - intro
- programming_language
  - c++
  - python
- researchMethod
  - articles
  - baseInfo
  - lecture
- typescript
  - typeManipulation
  - unilityTypes
- videoEditor
  - todo
- vite
  - create
- webassembly
  - deeplearn
  - primary
- webpack
  - entry
  - hmr
  - loader
  - output
  - plugin
  - proformance

Intro to Compliers

Compliers

Just input a program, then executable

Interpreters

Interpreters is online, meaning the work that it does all part of running your program.

Five phases

Lexical Analysis: divides program text into “words” or “tokens”
Parsing: to understand sentences structure
Semantic Analysis: try to understand the sentence meaning.
Optimization: automatic modify programs so that they run more fast and use less momery.
Code Generation: a translation into another language.

Economy

Why are there so many programming languages?

Application domains have distinctive/conflicting needs.

Why are there new programming languages?

Programmer training is the domain cost for a programming languages.
Widely used language are slow to change.
Easy to start a new language.
Productivity > Training cost
Languages adpoted to fill a void.

What is a good programming language?

There is no universally accepted metric for language design.
A good language is one people use?

COOL Overview (A language)

COOL – Classroom origin oriented language
Designed to be implementable in a short time
Give a taste of implementa