CPython cannot into threads
|
|
- Edmund York
- 5 years ago
- Views:
Transcription
1 GIL
2 CPython cannot into threads
3 1992
4 PyPy Jython CPython IronPython Brython
5 PyPy Jython CPython IronPython Brython
6 PyPy Jython CPython IronPython Brython
7 CPython cannot into threads
8 CPython cannot into threads CPython can run only on single core
9 CPython cannot into threads CPython can run only on single core
10 CPython cannot into threads CPython can run only on single core "CPython process can execute Python bytecode in one thread at the time"
11
12 Staleness
13 Misconceptions
14 CC-SA-BY,
15 Evolution
16 GIL
17 Threads (system threads) (not user-space threads)
18 Thread 1
19 Thread 1 Thread 2 Process
20 1. running 2. runnable 3. blocked
21 System calls
22 Thread scheduling
23 Signals
24 $ kill [PID]
25 $ kill [PID] SIGTERM
26 Concurrency vs. parallelism
27
28
29
30
31
32
33 1. Tracing garbage collection 2. Reference counting 3....
34 1. Tracing garbage collection
35 1. Tracing garbage collection
36 1. Tracing garbage collection
37 1. Tracing garbage collection
38 1. Tracing garbage collection 2. Reference counting int
39 1. Tracing garbage collection 2. Reference counting 3
40 1. Tracing garbage collection 2. Reference counting 0
41
42
43 load ++ save 0 load ++ time save
44 load ++ save 2 load ++ time save
45 load load save time save
46 load load save time save
47 GIL finally
48 Protector
49 Reference counters
50 Internal global state
51 C-mutable data structures dict, list,
52 C-mutable data structures dict, list, str, tuple, int
53 Binary modules and extensions
54 Cost
55 In single-threaded code? It doesn t matter (duh)
56 On single core? It doesn t matter
57 In multi-threaded I/O-bound code? It may not matter
58 With binary extensions? It may not matter
59 >= 3.2
60 1
61 1 2
62 1 2 Can I has GIL? Nope.
63 1 2 switch interval
64 1 2 Can I has GIL?
65 1 2 Can I has GIL? Yes!
66 1 2 Can I has GIL? Nope.
67 1 2 gil_drop_request = 1
68 1 2 gil_drop_request?
69 1 2
70 1 2 switch_cond? gil_last_holder?
71 1 2
72 <=
73 ticks
74 >>> print( foo ) >>> -1 in range( )
75 >>> print( foo ) >>> -1 in range( ) >>> n -= 1
76 N ticks N ticks N = 100 check check check
77
78 100s ms few ms
79 1 2 Can I has GIL? And now? Nope. And now? Nope. Nope.
80 1 2 Can I has GIL? And now? Nope. And now? Nope. Aw yiss Nope.
81 PyPy Jython CPython IronPython Brython
82 PyPy Jython CPython IronPython Brython
83 An alternative PyPy which works without a GIL, while at the same time continuing to give the Python programmer the complete illusion of having one.
84 PyPy Jython CPython IronPython Brython
85 Ruby Python Go
86 Ruby Python Go
87 Ruby Python Goroutines
88 Ruby Python Goroutines channels
89 def fib(n):
90
91 More!
92 import multiprocessing
93 multiprocessing binary extensions cdef int foo = 0
94 multiprocessing binary extensions cdef int foo = 0 with nogil:...
95 multiprocessing binary extensions Py_BEGIN_ALLOW_THREADS Py_END_ALLOW_THREADS
96 multiprocessing binary extensions asynchronous I/O
97 Revolution?
98 C
99 Requirements
100 1. Single-threaded and multi-threaded I/O-bound performance 2. C extensions compatibility 3. Complexity
101 1. Single-threaded and multi-threaded I/O-bound performance 2. C extensions compatibility 3. Complexity
102 1. Single-threaded and multi-threaded I/O-bound performance 2. C extensions compatibility 3. Complexity
103 1996
104 Free-threading patch
105 Free-threading patch subinterpreters
106 Free-threading patch subinterpreters GILectomy
107 Free-threading patch subinterpreters bu re ff GILectomy fe re er nc ed e co un t in g
108 Free-threading patch subinterpreters bu re ff GILectomy fe re er e t nc ed a v i e r co p d un a g e n i t in r k h g c t lo
109 Free-threading patch i mm o rt subinterpretersob al jec bu re ts ff GILectomy fe re er e t nc ed a v i e r co p d un a g e n i t in r k h g c t lo
110 --without-gil Py_LOCK(o) Py_UNLOCK(o)
111 Free-threading patch subinterpreters GILectomy
112 What to do?
113 What to do? nothing
114 What to do? nothing migrate to 3.5 (3.6 even!)
115 What to do? nothing migrate to 3.5 (3.6 even!) assert the baseline, then act
116 Thank you! :) kolodziejj.info/talks/gil/
117 What to do? nothing migrate to 3.5 (3.6 even!) assert the baseline, then act contribute! kolodziejj.info/talks/gil/
Parallelism in Python
Multithreading or Multiprocessing? Mathematics Department Mercyhurst University May 5, 2017 Table of Contents 1 Parallel Computing 2 3 Understanding Parallelism in Programming Before we go into Python
More informationPyPy - How to not write Virtual Machines for Dynamic Languages
PyPy - How to not write Virtual Machines for Dynamic Languages Institut für Informatik Heinrich-Heine-Universität Düsseldorf ESUG 2007 Scope This talk is about: implementing dynamic languages (with a focus
More informationSpeeding up Python using Cython
Speeding up Python using Cython Rolf Boomgaarden Thiemo Gries Florian Letsch Universität Hamburg November 28th, 2013 What is Cython? Compiler, compiles Python-like code to C-code Code is still executed
More informationmultiprocessing HPC Python R. Todd Evans January 23, 2015
multiprocessing HPC Python R. Todd Evans rtevans@tacc.utexas.edu January 23, 2015 What is Multiprocessing Process-based parallelism Not threading! Threads are light-weight execution units within a process
More informationAn Implementation of Python for Racket. Pedro Palma Ramos António Menezes Leitão
An Implementation of Python for Racket Pedro Palma Ramos António Menezes Leitão Contents Motivation Goals Related Work Solution Performance Benchmarks Future Work 2 Racket + DrRacket 3 Racket + DrRacket
More informationList of lectures. Lecture content. Concurrent computing. TDDA69 Data and Program Structure Concurrent Computing Cyrille Berger
List of lectures TDDA69 Data and Program Structure Concurrent Computing Cyrille Berger 1Introduction and Functional Programming 2Imperative Programming and Data Structures 3Parsing 4Evaluation 5Object
More informationThis is an introductory tutorial, which covers the basics of Jython and explains how to handle its various modules and sub-modules.
About the Tutorial Jython is the JVM implementation of the Python programming language. It is designed to run on the Java platform. Jython was created in 1997 by Jim Hugunin. It closely follows the standard
More informationLET ME SLEEP ON IT. Improving concurrency in unexpected ways. Nir Soffer PyCon Israel 2017
LET ME SLEEP ON IT Improving concurrency in unexpected ways Nir Soffer PyCon Israel 2017 $ whoami Taming the Vdsm beast since 2013 Tinkering with Python since 2003 Free software enthusiast
More informationfuncsigs Documentation
funcsigs Documentation Release 0.4 Aaron Iles December 20, 2013 Contents i ii CHAPTER 1 The Funcsigs Package funcsigs is a backport of the PEP 362 function signature features from Python 3.3 s inspect
More informationAdministrivia. HW1 due Oct 4. Lectures now being recorded. I ll post URLs when available. Discussing Readings on Monday.
Administrivia HW1 due Oct 4. Lectures now being recorded. I ll post URLs when available. Discussing Readings on Monday. Keep posting discussion on Piazza Python Multiprocessing Topics today: Multiprocessing
More informationPython Implementation Strategies. Jeremy Hylton Python / Google
Python Implementation Strategies Jeremy Hylton Python / Google Python language basics High-level language Untyped but safe First-class functions, classes, objects, &c. Garbage collected Simple module system
More informationCross-platform daemonization tools.
Cross-platform daemonization tools. Release 0.1.0 Muterra, Inc Sep 14, 2017 Contents 1 What is Daemoniker? 1 1.1 Installing................................................. 1 1.2 Example usage..............................................
More informationThe Dynamic Typing Interlude
CHAPTER 6 The Dynamic Typing Interlude In the prior chapter, we began exploring Python s core object types in depth with a look at Python numbers. We ll resume our object type tour in the next chapter,
More informationPTN-105 Python programming. Course Outline. Prerequisite: basic Linux/UNIX and programming skills. Delivery Method: Instructor-led training (ILT)
PTN-105 Python programming Prerequisite: basic Linux/UNIX and programming skills. Delivery Method: Instructor-led training (ILT) Course Length: 5 days Course Outline Module 1. Introduction Why python?
More informationEmbracing the Global Interpreter Lock (GIL)
Embracing the Global Interpreter Lock (GIL) David Beazley http://www.dabeaz.com October 6, 2011 PyCodeConf 2011, Miami 1 Let's Love the GIL! After blowing up the GIL at PyCon'2010, I thought it needed
More informationPython for Earth Scientists
Python for Earth Scientists Andrew Walker andrew.walker@bris.ac.uk Python is: A dynamic, interpreted programming language. Python is: A dynamic, interpreted programming language. Data Source code Object
More informationDifferent Species of Python
Different Species of Python Presented by David Malcolm FUDcon 2011 Tempe Licensed under the Creative Commons Attribution-ShareAlike license: http://creativecommons.org/licenses/by-sa/3.0/
More informationCS61A Lecture 42. Amir Kamil UC Berkeley April 29, 2013
CS61A Lecture 42 Amir Kamil UC Berkeley April 29, 2013 Announcements HW13 due Wednesday Scheme project due tonight!!! Scheme contest deadline extended to Friday MapReduce Execution Model http://research.google.com/archive/mapreduce
More informationExtending Jython. with SIM, SPARQL and SQL
Extending Jython with SIM, SPARQL and SQL 1 Outline of topics Interesting features of Python and Jython Relational and semantic data models and query languages, triple stores, RDF Extending the Jython
More informationHigh Performance Python Micha Gorelick and Ian Ozsvald
High Performance Python Micha Gorelick and Ian Ozsvald Beijing Cambridge Farnham Koln Sebastopol Tokyo O'REILLY 0 Table of Contents Preface ix 1. Understanding Performant Python 1 The Fundamental Computer
More informationIntroduction to Python. Didzis Gosko
Introduction to Python Didzis Gosko Scripting language From Wikipedia: A scripting language or script language is a programming language that supports scripts, programs written for a special run-time environment
More informationDiscussion CSE 224. Week 4
Discussion CSE 224 Week 4 Midterm The midterm will cover - 1. Topics discussed in lecture 2. Research papers from the homeworks 3. Textbook readings from Unit 1 and Unit 2 HW 3&4 Clarifications 1. The
More informationAdaptive Optimization using Hardware Performance Monitors. Master Thesis by Mathias Payer
Adaptive Optimization using Hardware Performance Monitors Master Thesis by Mathias Payer Supervising Professor: Thomas Gross Supervising Assistant: Florian Schneider Adaptive Optimization using HPM 1/21
More informationcotyledon Documentation
cotyledon Documentation Release Mehdi Abaakouk Feb 07, 2018 Contents 1 Contents: 1 1.1 Installation................................................ 1 1.2 API....................................................
More informationCSE : Python Programming
CSE 399-004: Python Programming Lecture 08: Graphical User Interfaces with wxpython March 12, 2005 http://www.seas.upenn.edu/~cse39904/ Plan for today and next time Today: wxpython (part 1) Aside: Arguments
More informationCSE 413 Languages & Implementation. Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341)
CSE 413 Languages & Implementation Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341) 1 Goals Representing programs as data Racket structs as a better way to represent
More informationCS Introduction to Computational and Data Science. Instructor: Renzhi Cao Computer Science Department Pacific Lutheran University Spring 2017
CS 133 - Introduction to Computational and Data Science Instructor: Renzhi Cao Computer Science Department Pacific Lutheran University Spring 2017 Introduction to Python II In the previous class, you have
More informationHotPy (2) Binary Compatible High Performance VM for Python. Mark Shannon
HotPy (2) Binary Compatible High Performance VM for Python Mark Shannon Who am I? Mark Shannon PhD thesis on building VMs for dynamic languages During my PhD I developed: GVMT. A virtual machine tool kit
More informationUNIVERSITY OF CALIFORNIA Department of Electrical Engineering and Computer Sciences Computer Science Division. P. N. Hilfinger
UNIVERSITY OF CALIFORNIA Department of Electrical Engineering and Computer Sciences Computer Science Division CS 164 Spring 2005 P. N. Hilfinger Project #2: Static Analyzer for Pyth Due: Wednesday, 6 April
More informationObject-Interaction Diagrams: Sequence Diagrams UML
Object-Interaction Diagrams: Sequence Diagrams UML Communication and Time In communication diagrams, ordering of messages is achieved by labelling them with sequence numbers This does not make temporal
More informationLecture 7. Memory in Python
Lecture 7 Memory in Python Announcements For This Lecture Readings Reread Chapter 3 No reading for Thursday Lab Work on Assignment Credit when submit A Nothing else to do Assignment Moved to Fri, Sep.
More informationOverview of OOP. Dr. Zhang COSC 1436 Summer, /18/2017
Overview of OOP Dr. Zhang COSC 1436 Summer, 2017 7/18/2017 Review Data Structures (list, dictionary, tuples, sets, strings) Lists are enclosed in square brackets: l = [1, 2, "a"] (access by index, is mutable
More information2 Getting Started with Numerical Computations in Python
1 Documentation and Resources * Download: o Requirements: Python, IPython, Numpy, Scipy, Matplotlib o Windows: google "windows download (Python,IPython,Numpy,Scipy,Matplotlib" o Debian based: sudo apt-get
More informationUsing Python and XMPP to build a decentralized social network
Using Python and XMPP to build a decentralized social network Jérôme Poisson (Goffi) FOSDEM Saturday 30th January 2016 Some words about the project a lot of features other interfaces about the technologies
More informationNuitka - The Python Compiler. Nuitka. Kay Hayen, 2015 Page 1 of 52
- The Python Compiler Kay Hayen, 2015 Page 1 of 52 - The Python Compiler Topics (1 of 5) Intro Who am I? / What is? System Requirements Demo Compiling a simple program Compiling full blown program (Mercurial)
More informationChapter 3: Process-Concept. Operating System Concepts 8 th Edition,
Chapter 3: Process-Concept, Silberschatz, Galvin and Gagne 2009 Chapter 3: Process-Concept Process Concept Process Scheduling Operations on Processes Interprocess Communication 3.2 Silberschatz, Galvin
More informationCS 475. Process = Address space + one thread of control Concurrent program = multiple threads of control
Processes & Threads Concurrent Programs Process = Address space + one thread of control Concurrent program = multiple threads of control Multiple single-threaded processes Multi-threaded process 2 1 Concurrent
More informationHW1 due Monday by 9:30am Assignment online, submission details to come
inst.eecs.berkeley.edu/~cs61c CS61CL : Machine Structures Lecture #2 - C Pointers and Arrays Administrivia Buggy Start Lab schedule, lab machines, HW0 due tomorrow in lab 2009-06-24 HW1 due Monday by 9:30am
More informationMUTABLE LISTS AND DICTIONARIES 4
MUTABLE LISTS AND DICTIONARIES 4 COMPUTER SCIENCE 61A Sept. 24, 2012 1 Lists Lists are similar to tuples: the order of the data matters, their indices start at 0. The big difference is that lists are mutable
More informationHack and Slash with Pythonect. Itzik Kotler Creator and Lead Developer of Pythonect and Hackersh
Hack and Slash with Pythonect Itzik Kotler Creator and Lead Developer of Pythonect and Hackersh Pythonect Pythonect is a portmanteau of the words Python and Connect New, experimental, general-purpose dataflow
More informationA simple interpreted language
Copyright Software Carpentry 2010 This work is licensed under the Creative Commons Attribution License See http://software-carpentry.org/license.html for more information. A simple interpreted language
More informationdjango-gollum Documentation
django-gollum Documentation Release 1.0.0 Luke Sneeringer December 11, 2016 Contents 1 Installation 3 2 Dependencies 5 3 Getting Started 7 4 Getting Help 9 5 License 11 6 Index 13 6.1 Using django-gollum...........................................
More informationMultiJav: A Distributed Shared Memory System Based on Multiple Java Virtual Machines. MultiJav: Introduction
: A Distributed Shared Memory System Based on Multiple Java Virtual Machines X. Chen and V.H. Allan Computer Science Department, Utah State University 1998 : Introduction Built on concurrency supported
More informationA Python for Future Generations. Ronacher
A Python for Future Generations Armin @mitsuhiko Ronacher Hi, I'm Armin... and I do Open Source, lots of Python and SaaS Flask Sentry and here is where you can find me twitter.com/@mitsuhiko github.com/mitsuhiko
More informationAll-Singing All-Dancing Python Bytecode Larry Hastings EuroPython 2013 July 2, 2013
All-Singing All-Dancing Python Bytecode Larry Hastings larry@hastings.org EuroPython 2013 July 2, 2013 Introduction Intermediate CPython 3.3.0 100% roughly applicable elsewhere What Is Bytecode? Opcodes
More informationProcesses. CS 416: Operating Systems Design, Spring 2011 Department of Computer Science Rutgers University
Processes Design, Spring 2011 Department of Computer Science Von Neuman Model Both text (program) and data reside in memory Execution cycle Fetch instruction Decode instruction Execute instruction CPU
More informationPython Programming, bridging course 2011
Python Programming, bridging course 2011 About the course Few lectures Focus on programming practice Slides on the homepage No course book. Using online resources instead. Online Python resources http://www.python.org/
More informationSTEAM Clown & Productions Copyright 2017 STEAM Clown. Page 1
What to add next time you are updating these slides Update slides to have more animation in the bullet lists Verify that each slide has stand alone speaker notes Page 1 Python 3 Running The Python Interpreter
More informationArvind Krishnamurthy Spring Threads, synchronization, scheduling Virtual memory File systems Networking
Concurrency Arvind Krishnamurthy Spring 2004 Today s lecture Semester roughly divided into: Threads, synchronization, scheduling Virtual memory File systems Networking Next 2.5 weeks: threads and synchronization
More informationLecture 4: Memory Management & The Programming Interface
CS 422/522 Design & Implementation of Operating Systems Lecture 4: Memory Management & The Programming Interface Zhong Shao Dept. of Computer Science Yale University Acknowledgement: some slides are taken
More informationPart 4 CLASSES AS ABSTRACT DATA TYPES AND INTERFACE IMPLEMENTATION. Data Structures and Algorithms 31632
Part 4 CLASSES AS ABSTRACT DATA TYPES AND INTERFACE IMPLEMENTATION 1 ADT ABSTRACT DATA TYPE 2 Abstract Data Type (ADT) A programmer-defined data type that specifies a set of data values and a collection
More informationWhere We Are. Lexical Analysis. Syntax Analysis. IR Generation. IR Optimization. Code Generation. Machine Code. Optimization.
Where We Are Source Code Lexical Analysis Syntax Analysis Semantic Analysis IR Generation IR Optimization Code Generation Optimization Machine Code Where We Are Source Code Lexical Analysis Syntax Analysis
More informationNotes from a Short Introductory Lecture on Scala (Based on Programming in Scala, 2nd Ed.)
Notes from a Short Introductory Lecture on Scala (Based on Programming in Scala, 2nd Ed.) David Haraburda January 30, 2013 1 Introduction Scala is a multi-paradigm language that runs on the JVM (is totally
More informationAn Introduction to Python. Presented to OCPUG,
An Introduction to Python Presented to OCPUG, 2010-11-30 Why Learn Python: Part 1 of 3 Easy to learn yet powerful Concise syntax: few words per idea expressed Usable for web, scripts, full blown standalone
More informationMutation Testing in Patterns Documentation
Mutation Testing in Patterns Documentation Release 1.0 Alexander Todorov Aug 18, 2016 Contents 1 Make sure your tools work 3 2 Make sure your tests work 5 3 Divide and conquer 7 4 Fail fast 9 5 Python:
More informationFile Checksums in Python: The Hard Way
File Checksums in Python: The Hard Way Shane Kerr Amsterdam Python Meetup Group 2018-04-25 Data Hoarding I hate losing data. I don t trust the cloud. Disks are big now! But...
More informationAccelerating Information Technology Innovation
Accelerating Information Technology Innovation http://aiti.mit.edu Cali, Colombia Summer 2012 Lesson 1 Introduction to Python Agenda What is Python? and Why Python? Basic Syntax Strings User Input Useful
More informationCOMP1730/COMP6730 Programming for Scientists. Testing and Debugging.
COMP1730/COMP6730 Programming for Scientists Testing and Debugging. Overview * Testing * Debugging * Defensive Programming Overview of testing * There are many different types of testing - load testing,
More informationBeyond Blocks: Python Session #1
Beyond Blocks: Session #1 CS10 Spring 2013 Thursday, April 30, 2013 Michael Ball Beyond Blocks : : Session #1 by Michael Ball adapted from Glenn Sugden is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike
More informationPython Hype? Brian Ray
Python Hype? Brian Ray Hi, I m Brian Ray Directive Years 1998-2003 Engineering Years 2003-2006 Leadership Years 2009-2010 Indy Consulting Years 2010-2013 Big Four Consulting 2013-current Taken in China
More informationCS 326: Operating Systems. Process Execution. Lecture 5
CS 326: Operating Systems Process Execution Lecture 5 Today s Schedule Process Creation Threads Limited Direct Execution Basic Scheduling 2/5/18 CS 326: Operating Systems 2 Today s Schedule Process Creation
More informationpython-docker-machine Documentation
python-docker-machine Documentation Release 0.2.4 Gijs Molenaar Aug 25, 2017 Contents 1 Introduction 3 2 installation 5 3 Usage 7 4 Indices and tables 11 Python Module Index 13 i ii python-docker-machine
More informationIntroduction to Numerical Python. Matthijs Douze SED Grenoble
Introduction to Numerical Python Matthijs Douze SED Grenoble What should I talk about? Python (and numpy) is very rich threshold to make a new library is low everyone makes libraries! choose what is worthwhile
More informationDebugging in Python 3.6: Better, Faster, Stronger
Debugging in Python 3.6: Better, Faster, Stronger Elizaveta Shashkova JetBrains EuroPython 2017 Bio Software developer of PyCharm IDE at JetBrains Debugger Saint Petersburg, Russia 2 Debugging Adding print
More informationAccelerating Ruby with LLVM
Accelerating Ruby with LLVM Evan Phoenix Oct 2, 2009 RUBY RUBY Strongly, dynamically typed RUBY Unified Model RUBY Everything is an object RUBY 3.class # => Fixnum RUBY Every code context is equal RUBY
More informationPython Data Structures
Python Data Structures Zbigniew Jędrzejewski-Szmek George Mason University Python Summer School, Zürich, September 02, 2013 Version Zürich-83-gf79f32d This work is licensed under the Creative Commons CC
More informationChapter 4: Processes. Process Concept
Chapter 4: Processes Process Concept Process Scheduling Operations on Processes Cooperating Processes Interprocess Communication Communication in Client-Server Systems 4.1 Silberschatz, Galvin and Gagne
More informationAn Implementation of Python for DrRacket
An Implementation of Python for DrRacket Pedro Palma Ramos Instituto Superior Técnico, Universidade de Lisboa pedropramos@tecnico.ulisboa.pt http://tecnico.ulisboa.pt/ Abstract. The Python programming
More informationCSE 124: OPTIONS, SIGNALS, TIMEOUTS, AND CONCURRENCY. George Porter Oct 13, 2017
CSE 124: OPTIONS, SIGNALS, TIMEOUTS, AND CONCURRENCY George Porter Oct 13, 2017 ATTRIBUTION These slides are released under an Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) Creative
More informationSlightly Advanced Python:
Slightly Advanced Python: some well-documented internals http://www.aleax.it/ut_pyadv.pdf 2008 Google -- aleax@google.com Audience level for this talk Shu ("Retain") Ha ("Detach") Ri ("Transcend") 2 This
More informationChapter 4: Processes
Chapter 4: Processes Process Concept Process Scheduling Operations on Processes Cooperating Processes Interprocess Communication Communication in Client-Server Systems 4.1 Silberschatz, Galvin and Gagne
More informationComp Exam 1 Overview.
Comp 170-400 Exam 1 Overview. Resources During the Exam The exam will be closed book, no calculators or computers, except as a word processor. In particular no Python interpreter running in a browser or
More informationPYTHON IS SLOW. Make it faster with C. Ben Shaw
PYTHON IS SLOW Make it faster with C Ben Shaw It s OK that Python isn t fast, you can write your slow functions in C! Everyone TABLE OF CONTENTS C Module vs C Types TABLE OF CONTENTS C Module vs C Types
More informationThe Go Programming Language. Frank Roberts
The Go Programming Language Frank Roberts frank.roberts@uky.edu - C++ (1983), Java (1995), Python (1991): not modern - Java is 18 years old; how has computing changed in 10? - multi/many core - web programming
More informationNuitka - The statically optimizing Python Compiler
Contents Topics (1 of 6) 7 Topics (2 of 6) 8 Topics (3 of 6) 9 Topics (4 of 6) 10 Topics (5 of 6) 11 Topics (6 of 6) 12 Intro - Nuitka (1 of 3) 13 Intro - Nuitka (2 of 3) 14 Nuitka - Intro (3 of 3) 15
More informationPython Crash-Course. C. Basso. Dipartimento di Informatica e Scienze dell Informazione Università di Genova. December 11, 2007
Python Crash-Course C. Basso Dipartimento di Informatica e Scienze dell Informazione Università di Genova December 11, 2007 Basso (DISI) Python Crash-Course December 11, 2007 1 / 26 What is Python? Python
More informationThe. WebAssembly. Revolution. has begun
The WebAssembly Revolution has begun WebAssembly will change the way we think of "web apps" Jay Phelps Senior Software Engineer So...what is WebAssembly? aka wasm Efficient, low-level bytecode for the
More informationData Structures (list, dictionary, tuples, sets, strings)
Data Structures (list, dictionary, tuples, sets, strings) Lists are enclosed in brackets: l = [1, 2, "a"] (access by index, is mutable sequence) Tuples are enclosed in parentheses: t = (1, 2, "a") (access
More informationTHE CPU SPENDS ALMOST ALL of its time fetching instructions from memory
THE CPU SPENDS ALMOST ALL of its time fetching instructions from memory and executing them. However, the CPU and main memory are only two out of many components in a real computer system. A complete system
More informationSociaLite: A Python-Integrated Query Language for
SociaLite: A Python-Integrated Query Language for Big Data Analysis Jiwon Seo * Jongsoo Park Jaeho Shin Stephen Guo Monica Lam STANFORD UNIVERSITY M OBIS OCIAL RESEARCH GROUP * Intel Parallel Research
More informationThe Potentials and Challenges of Trace Compilation:
Peng Wu IBM Research January 26, 2011 The Potentials and Challenges of Trace Compilation: Lessons learned from building a trace-jit on top of J9 JVM (Joint work with Hiroshige Hayashizaki and Hiroshi Inoue,
More informationChapter 3 Processes. Process Concept. Process Concept. Process Concept (Cont.) Process Concept (Cont.) Process Concept (Cont.)
Process Concept Chapter 3 Processes Computers can do several activities at a time Executing user programs, reading from disks writing to a printer, etc. In multiprogramming: CPU switches from program to
More informationCopyright 2008 CS655 System Modeling and Analysis. Korea Advanced Institute of Science and Technology
The Spin Model Checker : Part I Copyright 2008 CS655 System Korea Advanced Institute of Science and Technology System Spec. In Promela Req. Spec. In LTL Overview of the Spin Architecture Spin Model pan.c
More informationpython-json-patch Documentation
python-json-patch Documentation Release 1.21 Stefan Kögl Jan 16, 2018 Contents 1 Tutorial 3 1.1 Creating a Patch............................................. 3 1.2 Applying a Patch.............................................
More informationCIS192 Python Programming
CIS192 Python Programming Graphical User Interfaces Robert Rand University of Pennsylvania December 03, 2015 Robert Rand (University of Pennsylvania) CIS 192 December 03, 2015 1 / 21 Outline 1 Performance
More informationJython. secondary. memory
2 Jython secondary memory Jython processor Jython (main) memory 3 Jython secondary memory Jython processor foo: if Jython a
More informationRustPython. FOSDEM 2019 Brought to you by: Shing and Windel :P
RustPython FOSDEM 2019 Brought to you by: Shing and Windel :P Outline - Who are we? - What is python? What is rust? What is the problem with C? - Overview of RustPython internals parser/compiler/vm/imports
More informationPython in the Cling World
Journal of Physics: Conference Series PAPER OPEN ACCESS Python in the Cling World To cite this article: W Lavrijsen 2015 J. Phys.: Conf. Ser. 664 062029 Recent citations - Giving pandas ROOT to chew on:
More informationWhy I still develop synchronous web in the asyncio era. April 7th, 2017 Giovanni Barillari - pycon otto - Firenze, Italy
Why I still develop synchronous web in the asyncio era April 7th, 2017 Giovanni Barillari - pycon otto - Firenze, Italy Who am I? I m Gio! pronounced as Joe trust me, I m a physicist :) code principally
More informationPractice midterm exam
University of Washington CSE 140 Data Programming Winter 2013 Practice midterm exam February 3, 2013 Name: Solutions CSE Net ID (username): UW Net ID (username): This exam is closed book, closed notes.
More informationAccelerating Information Technology Innovation
Accelerating Information Technology Innovation http://aiti.mit.edu/program/philippines-summer-2012/ Philippines Summer 2012 Lecture 1 Introduction to Python June 19, 2012 Agenda About the Course What is
More informationL1/L2 NETWORK PROTOCOL TESTING
L1/L2 NETWORK PROTOCOL TESTING MODULE 1 : BASIC OF NETWORKING OSI Model TCP/IP Layers Service data unit & protocol data unit Protocols and standards Network What is network & Internet Network core circuit
More informationAnnouncements. Lecture Agenda. Class Exercise. Hashable. Mutability. COMP10001 Foundations of Computing Iteration
COMP10001 Foundations of Computing Iteration Announcements Semester 1, 2017 Tim Baldwin & Egemen Tanin First Guest Lecture on Friday (examinable) Grok Worksheets 5 7 due at the end of this week version:
More informationMost of the work is done in the context of the process rather than handled separately by the kernel
Process Control Process Abstraction for a running program Manages program s use of memory, cpu time, and i/o resources Most of the work is done in the context of the process rather than handled separately
More informationSharing, mutability, and immutability. Ruth Anderson UW CSE 160 Spring 2018
Sharing, mutability, and immutability Ruth Anderson UW CSE 160 Spring 2018 1 Copying and mutation See in python tutor list1 = ["e1", "e2", "e3", "e4"] list2 = list1 list3 = list(list1) # make a copy; also
More informationCS Programming Languages: Scala
CS 3101-2 - Programming Languages: Scala Lecture 6: Actors and Concurrency Daniel Bauer (bauer@cs.columbia.edu) December 3, 2014 Daniel Bauer CS3101-2 Scala - 06 - Actors and Concurrency 1/19 1 Actors
More informationProcesses and Threads
TDDI04 Concurrent Programming, Operating Systems, and Real-time Operating Systems Processes and Threads [SGG7] Chapters 3 and 4 Copyright Notice: The lecture notes are mainly based on Silberschatz s, Galvin
More informationMulticore and Multiprocessor Systems: Part I
Chapter 3 Multicore and Multiprocessor Systems: Part I Max Planck Institute Magdeburg Jens Saak, Scientific Computing II 44/342 Symmetric Multiprocessing Definition (Symmetric Multiprocessing (SMP)) he
More informationSage Reference Manual: Python technicalities
Sage Reference Manual: Python technicalities Release 8.1 The Sage Development Team Dec 09, 2017 CONTENTS 1 Various functions to debug Python internals 3 2 Variants of getattr() 5 3 Metaclasses for Cython
More informationCMSC 330: Organization of Programming Languages. OCaml Imperative Programming
CMSC 330: Organization of Programming Languages OCaml Imperative Programming CMSC330 Spring 2018 1 So Far, Only Functional Programming We haven t given you any way so far to change something in memory
More information