Канал: jasonofthel33t

IU Compiler Course Fall 2020 August 27

IU Compiler Course Fall 2020 August 27

IU Compiler Course Fall 2020 August 25

IU Compiler Course Fall 2020 August 25

IU Compiler Course Fall 2020 September 3

IU Compiler Course Fall 2020 September 3

IU Compiler Course Fall 2020 September 1

IU Compiler Course Fall 2020 September 1

Tomas Petricek: How F# Learned to Stop Worrying and Love the Data

Tomas Petricek: How F# Learned to Stop Worrying and Love the Data

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 4)

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 4)

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 3)

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 3)

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 2)

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 2)

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 1)

Adventure with Types in Haskell - Simon Peyton Jones (Lecture 1)

Brian Beckman: The Zen of Stateless State - The State Monad

Brian Beckman: The Zen of Stateless State - The State Monad

Expert to Expert: Brian Beckman and Erik Meijer - Inside the .NET Reactive Framework (Rx)

Expert to Expert: Brian Beckman and Erik Meijer - Inside the .NET Reactive Framework (Rx)

HerbSutterQuestionsAndAnswers 2MB ch9

HerbSutterQuestionsAndAnswers 2MB ch9

Bjarne Stroustrup - The Essence of C++: With Examples in C++84, C++98, C++11, and C++14

Bjarne Stroustrup - The Essence of C++: With Examples in C++84, C++98, C++11, and C++14

CROSS 2013: The Church as the Means and the Goal of Missions (Session IX)

CROSS 2013: The Church as the Means and the Goal of Missions (Session IX)

CROSS 2013: The Chief End of Missions: The Supremacy of God in the Joy of All Peoples (Session I)

CROSS 2013: The Chief End of Missions: The Supremacy of God in the Joy of All Peoples (Session I)

Everything I Ever Learned about JVM Performance Tuning @twitter

Everything I Ever Learned about JVM Performance Tuning @twitter

C9LecturesMonadicDPWp4_2MB_ch9

C9LecturesMonadicDPWp4_2MB_ch9

Rich Hickey - The Database as a Value

Rich Hickey - The Database as a Value

ELangsClojureFSharpHickeyPamer_2MB_ch9

ELangsClojureFSharpHickeyPamer_2MB_ch9

C9 Lectures: Dr. Ralf Lämmel - The Quick Essence of Functional Programming

C9 Lectures: Dr. Ralf Lämmel - The Quick Essence of Functional Programming

C9LecturesGregMeredithMonadicDesignPatternsp3_2MB_ch9

C9LecturesGregMeredithMonadicDesignPatternsp3_2MB_ch9

C9LecturesGregMeredithMonadicDesignPatternsp2_2MB_ch9

C9LecturesGregMeredithMonadicDesignPatternsp2_2MB_ch9

C9 Lectures: Greg Meredith - Monadic Design Patterns for the Web - Introduction to Monads

C9 Lectures: Greg Meredith - Monadic Design Patterns for the Web - Introduction to Monads

Running a startup on Haskell

Running a startup on Haskell

Ready Set Clojure!

Ready Set Clojure!

An Analysis of the Redesign of the CoffeeScript Compiler

An Analysis of the Redesign of the CoffeeScript Compiler

Term-Rewriting in JavaScript for Fun and World Domination

Term-Rewriting in JavaScript for Fun and World Domination

Open Systems - Actors and Cloud

Open Systems - Actors and Cloud

YOW 2011 Simon Peyton Jones - Closer to Nirvana

YOW 2011 Simon Peyton Jones - Closer to Nirvana

Expert to Expert: Rich Hickey and Brian Beckman - Inside Clojure

Expert to Expert: Rich Hickey and Brian Beckman - Inside Clojure

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 6 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 6 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 1 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 1 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 5 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 5 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 4 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 4 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 8 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 8 of 13

E2E: Erik Meijer and Robert Griesemer - Going Go

E2E: Erik Meijer and Robert Griesemer - Going Go

Alexandrescu, Bright, Meijer, Moran: Pure versus Native (and much more)

Alexandrescu, Bright, Meijer, Moran: Pure versus Native (and much more)

Go In Three Easy Pieces

Go In Three Easy Pieces

C9 Lectures- Dr. Erik Meijer - Functional Programming Fundamentals Chapter 7 of 13

C9 Lectures- Dr. Erik Meijer - Functional Programming Fundamentals Chapter 7 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 3 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 3 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 2 of 13

C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals Chapter 2 of 13

Effective ML by Yaron Minsky

Effective ML by Yaron Minsky

MIT Godel Escher Bach Lecture 5

MIT Godel Escher Bach Lecture 5

MIT Godel Escher Bach Lecture 2

MIT Godel Escher Bach Lecture 2

MIT Godel Escher Bach Lecture 4

MIT Godel Escher Bach Lecture 4

MIT Godel Escher Bach Lecture 6

MIT Godel Escher Bach Lecture 6

MIT Godel Escher Bach Lecture 3

MIT Godel Escher Bach Lecture 3

MIT Godel Escher Bach Lecture 1

MIT Godel Escher Bach Lecture 1

cs2010 08

cs2010 08

cs2010 05

cs2010 05

cs2010 06

cs2010 06

cs2010 04

cs2010 04

cs2010 03

cs2010 03

cs2010 02

cs2010 02

cs1101s23

cs1101s23

cs1101s21

cs1101s21

cs1101s18

cs1101s18

cs1101s20

cs1101s20

cs1101s16

cs1101s16

cs1101s19

cs1101s19

cs1101s14

cs1101s14

cs1101s17

cs1101s17

cs1101s15

cs1101s15

cs1101s11

cs1101s11

cs1101s12

cs1101s12

cs1101s09

cs1101s09

cs1101s13

cs1101s13

cs1101s10

cs1101s10

cs1101s07

cs1101s07

cs1101s05

cs1101s05

cs1101s08

cs1101s08

cs1101s03

cs1101s03

cs1101s06

cs1101s06

cs1101s02

cs1101s02

cs1101s04

cs1101s04

The Doctrine of the Wrath of God

The Doctrine of the Wrath of God

C9 Lectures: Dr. Ralf Lämmel - Going Bananas

C9 Lectures: Dr. Ralf Lämmel - Going Bananas

Programming in the Age of Concurrency: Software Transactional Memory

Programming in the Age of Concurrency: Software Transactional Memory

Hewitt, Meijer and Szyperski: The Actor Model (everything you wanted to know...)

Hewitt, Meijer and Szyperski: The Actor Model (everything you wanted to know...)

Erik Meijer: Functional Programming

Erik Meijer: Functional Programming

Brian Beckman: Don't fear the Monad

Brian Beckman: Don't fear the Monad

Origins of Go Concurrency style by Rob Pike

Origins of Go Concurrency style by Rob Pike

1 3 01 03 The Economy of Programming Languages 19m51s

1 3 01 03 The Economy of Programming Languages 19m51s

2 1 02 01 Cool Overview 19m58s

2 1 02 01 Cool Overview 19m58s

1 2 01 02 Structure of a Compiler 13m53s

1 2 01 02 Structure of a Compiler 13m53s

2 3 02 03 Cool Example III 18m05s

2 3 02 03 Cool Example III 18m05s

1 1 01 01 Introduction 8m20s

1 1 01 01 Introduction 8m20s

3 1 03 01 Lexical Analysis 12m06s

3 1 03 01 Lexical Analysis 12m06s

3 2 03 02 Lexical Analysis Examples 13m03s

3 2 03 02 Lexical Analysis Examples 13m03s

2 2 02 02 Cool Example II 15m04s

2 2 02 02 Cool Example II 15m04s

4 2 04 02 Finite Automata 23m28s

4 2 04 02 Finite Automata 23m28s

3 3 03 03 Regular Languages 12m36s

3 3 03 03 Regular Languages 12m36s

3 4 03 04 Formal Languages 13m40s

3 4 03 04 Formal Languages 13m40s

3 5 03 05 Lexical Specifications 16m19s

3 5 03 05 Lexical Specifications 16m19s

4 1 04 01 Lexical Specification 14m30s

4 1 04 01 Lexical Specification 14m30s

3 6 DeduceIt Demo 8m25s

3 6 DeduceIt Demo 8m25s

5 2 05 02 Context Free Grammars 14m07s

5 2 05 02 Context Free Grammars 14m07s

4 3 04 03 Regular Expressions into NFAs 9m41s

4 3 04 03 Regular Expressions into NFAs 9m41s

4 4 04 04 NFA to DFA 15m12s

4 4 04 04 NFA to DFA 15m12s

5 3 05 03 Derivations 7m37s

5 3 05 03 Derivations 7m37s

5 4 05 04 Ambiguity 17m35s

5 4 05 04 Ambiguity 17m35s

4 5 04 05 Implementing Finite Automata 11m56s

4 5 04 05 Implementing Finite Automata 11m56s

6 1 06 01 Error Handling 13m03s

6 1 06 01 Error Handling 13m03s

5 1 05 01 Introduction to Parsing 5m31s

5 1 05 01 Introduction to Parsing 5m31s

6 3 06 03 Recursive Descent Parsing 6m35s

6 3 06 03 Recursive Descent Parsing 6m35s

6 4 06 04 Recursive Descent Algorithm 13m28s

6 4 06 04 Recursive Descent Algorithm 13m28s

7 2 07 02 First Sets 14m02s

7 2 07 02 First Sets 14m02s

6 5 06 05 Left Recursion 9m11s

6 5 06 05 Left Recursion 9m11s

7 1 07 01 Predictive Parsing 19m37s

7 1 07 01 Predictive Parsing 19m37s

6 2 06 02 Abstract Syntax Trees 3m50s

6 2 06 02 Abstract Syntax Trees 3m50s

7 3 07 03 Follow Sets 17m05s

7 3 07 03 Follow Sets 17m05s

7 4 07 04 LL1 Parsing Tables 14m41s

7 4 07 04 LL1 Parsing Tables 14m41s

7 6 07 06 Shift Reduce Parsing 7m37s

7 6 07 06 Shift Reduce Parsing 7m37s

8 2 08 02 Recognizing Handles 13m12s

8 2 08 02 Recognizing Handles 13m12s

8 1 08 01 Handles 6m48s

8 1 08 01 Handles 6m48s

8 3 08 03 Recognizing Viable Prefixes 14m57s

8 3 08 03 Recognizing Viable Prefixes 14m57s

8 7 08 07 SLR Improvements 11m49s

8 7 08 07 SLR Improvements 11m49s

7 5 07 05 Bottom Up Parsing 7m25s

7 5 07 05 Bottom Up Parsing 7m25s

8 4 08 04 Valid Items 3m31s

8 4 08 04 Valid Items 3m31s

8 5 08 05 SLR Parsing 14m16s

8 5 08 05 SLR Parsing 14m16s

8 8 08 08 SLR Examples 12m47s

8 8 08 08 SLR Examples 12m47s

8 6 08 06 SLR Parsing Example 6m42s

8 6 08 06 SLR Parsing Example 6m42s

9 4 09 04 Types 11m22s

9 4 09 04 Types 11m22s

9 9 09 09 Implementing Type Checking 6m57s

9 9 09 09 Implementing Type Checking 6m57s

9 2 09 02 Scope 8m09s

9 2 09 02 Scope 8m09s

9 5 09 05 Type Checking 8m43s

9 5 09 05 Type Checking 8m43s

9 1 09 01 Introduction to Semantic Analysis 3m42s

9 1 09 01 Introduction to Semantic Analysis 3m42s

10 2 10 02 Self Type 7m36s

10 2 10 02 Self Type 7m36s

9 3 09 03 Symbol Tables 11m06s

9 3 09 03 Symbol Tables 11m06s

9 6 09 06 Type Environments 11m43s

9 6 09 06 Type Environments 11m43s

9 7 09 07 Subtyping 11m35s

9 7 09 07 Subtyping 11m35s

9 8 09 08 Typing Methods 8m12s

9 8 09 08 Typing Methods 8m12s

10 3 10 03 Self Type Operations 12m12s

10 3 10 03 Self Type Operations 12m12s

10 1 10 01 Static vs Dynamic Typing 7m14s

10 1 10 01 Static vs Dynamic Typing 7m14s

10 4 10 04 Self Type Usage 6m29s

10 4 10 04 Self Type Usage 6m29s

10 5 10 05 Self Type Checking 10m00s

10 5 10 05 Self Type Checking 10m00s

11 2 11 02 Activations 13m50s

11 2 11 02 Activations 13m50s

12 2 12 02 Code Generation I 17m26s

12 2 12 02 Code Generation I 17m26s

11 3 11 03 Activation Records 13m11s

11 3 11 03 Activation Records 13m11s

10 6 10 06 Error Recovery 7m07s

10 6 10 06 Error Recovery 7m07s

11 1 11 01 Runtime Organization 6m44s

11 1 11 01 Runtime Organization 6m44s

11 6 11 06 Stack Machines 16m23s

11 6 11 06 Stack Machines 16m23s

12 3 12 03 Code Generation II 18m08s

12 3 12 03 Code Generation II 18m08s

11 5 11 05 Alignment 6m04s

11 5 11 05 Alignment 6m04s

11 4 11 04 Globals and Heap 6m56s

11 4 11 04 Globals and Heap 6m56s

12 6 12 06 Object Layout 23m56s

12 6 12 06 Object Layout 23m56s

13 4 13 04 Cool Semantics II 26m13s

13 4 13 04 Cool Semantics II 26m13s

12 1 12 01 Introduction to Code Generation 7m57s

12 1 12 01 Introduction to Code Generation 7m57s

12 5 12 05 Temporaries 16m14s

12 5 12 05 Temporaries 16m14s

12 4 12 04 Code Generation Example 13m17s

12 4 12 04 Code Generation Example 13m17s

13 2 13 02 Operational Semantics 12m20s

13 2 13 02 Operational Semantics 12m20s

13 3 13 03 Cool Semantics I 21m10s

13 3 13 03 Cool Semantics I 21m10s

13 1 13 01 Semantics Overview 7m06s

13 1 13 01 Semantics Overview 7m06s

14 3 14 03 Local Optimization 25m35s

14 3 14 03 Local Optimization 25m35s

14 2 14 02 Optimization Overview 13m37s

14 2 14 02 Optimization Overview 13m37s

14 1 14 01 Intermediate Code 9m03s

14 1 14 01 Intermediate Code 9m03s

15 2 15 02 Constant Propagation 21m11s

15 2 15 02 Constant Propagation 21m11s

15 3 15 03 Analysis of Loops 7m22s

15 3 15 03 Analysis of Loops 7m22s

15 1 15 01 Dataflow Analysis 8m02s

15 1 15 01 Dataflow Analysis 8m02s

17 1 17 01 Automatic Memory Management 14m53s

17 1 17 01 Automatic Memory Management 14m53s

15 5 15 05 Liveness Analysis 13m39s

15 5 15 05 Liveness Analysis 13m39s

14 4 14 04 Peephole Optimization 4m29s

14 4 14 04 Peephole Optimization 4m29s

17 3 17 03 Stop and Copy 19m03s

17 3 17 03 Stop and Copy 19m03s

16 1 16 01 Register Allocation 9m56s

16 1 16 01 Register Allocation 9m56s

15 4 15 04 Orderings 6m34s

15 4 15 04 Orderings 6m34s

16 3 16 03 Spilling 14m50s

16 3 16 03 Spilling 14m50s

16 2 16 02 Graph Coloring 12m07s

16 2 16 02 Graph Coloring 12m07s

16 4 16 04 Managing Caches 10m37s

16 4 16 04 Managing Caches 10m37s

17 2 17 02 Mark and Sweep 13m05s

17 2 17 02 Mark and Sweep 13m05s

18 1 18 01 Java 7m21s

18 1 18 01 Java 7m21s

17 5 17 05 Reference Counting 15m23s

17 5 17 05 Reference Counting 15m23s

18 3 18 03 Java Exceptions 14m09s

18 3 18 03 Java Exceptions 14m09s

18 7 18 07 Other Topics 14m28s

18 7 18 07 Other Topics 14m28s

17 4 17 04 Conservative Collection 3m31s

17 4 17 04 Conservative Collection 3m31s

18 2 18 02 Java Arrays 8m15s

18 2 18 02 Java Arrays 8m15s

18 4 18 04 Java Interfaces 8m38s

18 4 18 04 Java Interfaces 8m38s

18 5 18 05 Java Coercions 7m51s

18 5 18 05 Java Coercions 7m51s

CS1101S NUS Scheme Class - Last Lecture

CS1101S NUS Scheme Class - Last Lecture

Ravi Zacharias - Can Man Live Without God

Ravi Zacharias - Can Man Live Without God

CS2104 Programming Languages Lecture 9

CS2104 Programming Languages Lecture 9

CS2104 Programming Languages Lecture 8

CS2104 Programming Languages Lecture 8

CS2104 Programming Languages Lecture 7

CS2104 Programming Languages Lecture 7

CS2104 Programming Languages Lecture 6

CS2104 Programming Languages Lecture 6

CS2104 Programming Languages Lecture 4 part 1

CS2104 Programming Languages Lecture 4 part 1

CS2104 Programming Languages Lecture 5

CS2104 Programming Languages Lecture 5

CS2104 Programming Languages Lecture 5 Python Supplement

CS2104 Programming Languages Lecture 5 Python Supplement

CS2104 Programming Languages Lecture 3

CS2104 Programming Languages Lecture 3

CS2104 Programming Languages Lecture 4 part 2

CS2104 Programming Languages Lecture 4 part 2

CS2104 Programming Languages Lecture 2 part 2

CS2104 Programming Languages Lecture 2 part 2

NUS CS2104 Programming Languages Lecture 2 part 1 C and Assembly Languages

NUS CS2104 Programming Languages Lecture 2 part 1 C and Assembly Languages

NUS CS2104 Programming Languages Lecture 1 part 1

NUS CS2104 Programming Languages Lecture 1 part 1

NUS CS2104 Programming Languages Lecture 1 part 2 C and Assembly Languages

NUS CS2104 Programming Languages Lecture 1 part 2 C and Assembly Languages

SageNB newui

SageNB newui

NUS CS1101S Scheme Class Lecture 1

NUS CS1101S Scheme Class Lecture 1

NUS CS1101S Scheme Class Lecture 3

NUS CS1101S Scheme Class Lecture 3

Lec 15 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005

Lec 15 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005

The Village Running Man Edition

The Village Running Man Edition

gg - to do manager

gg - to do manager

mercurial collaboration screencast

mercurial collaboration screencast

scripted testing screencast

scripted testing screencast