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SETL for Internet Data Processing
SETL for Internet Data Processing by David Bacon A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Computer Science New York University January, 2000 Jacob T. Schwartz (Dissertation Advisor) c David Bacon, 1999 Permission to reproduce this work in whole or in part for non-commercial purposes is hereby granted, provided that this notice and the reference http://www.cs.nyu.edu/bacon/phd-thesis/ remain prominently attached to the copied text. Excerpts less than one PostScript page long may be quoted without the requirement to include this notice, but must attach a bibliographic citation that mentions the author’s name, the title and year of this disser- tation, and New York University. For my children ii Acknowledgments First of all, I would like to thank my advisor, Jack Schwartz, for his support and encour- agement. I am also grateful to Ed Schonberg and Robert Dewar for many interesting and helpful discussions, particularly during my early days at NYU. Terry Boult (of Lehigh University) and Richard Wallace have contributed materially to my later work on SETL through grants from the NSF and from ARPA. Finally, I am indebted to my parents, who gave me the strength and will to bring this labor of love to what I hope will be a propitious beginning. iii Preface Colin Broughton, a colleague in Edmonton, Canada, first made me aware of SETL in 1980, when he saw the heavy use I was making of associative tables in SPITBOL for data processing in a protein X-ray crystallography laboratory. -
1. with Examples of Different Programming Languages Show How Programming Languages Are Organized Along the Given Rubrics: I
AGBOOLA ABIOLA CSC302 17/SCI01/007 COMPUTER SCIENCE ASSIGNMENT 1. With examples of different programming languages show how programming languages are organized along the given rubrics: i. Unstructured, structured, modular, object oriented, aspect oriented, activity oriented and event oriented programming requirement. ii. Based on domain requirements. iii. Based on requirements i and ii above. 2. Give brief preview of the evolution of programming languages in a chronological order. 3. Vividly distinguish between modular programming paradigm and object oriented programming paradigm. Answer 1i). UNSTRUCTURED LANGUAGE DEVELOPER DATE Assembly Language 1949 FORTRAN John Backus 1957 COBOL CODASYL, ANSI, ISO 1959 JOSS Cliff Shaw, RAND 1963 BASIC John G. Kemeny, Thomas E. Kurtz 1964 TELCOMP BBN 1965 MUMPS Neil Pappalardo 1966 FOCAL Richard Merrill, DEC 1968 STRUCTURED LANGUAGE DEVELOPER DATE ALGOL 58 Friedrich L. Bauer, and co. 1958 ALGOL 60 Backus, Bauer and co. 1960 ABC CWI 1980 Ada United States Department of Defence 1980 Accent R NIS 1980 Action! Optimized Systems Software 1983 Alef Phil Winterbottom 1992 DASL Sun Micro-systems Laboratories 1999-2003 MODULAR LANGUAGE DEVELOPER DATE ALGOL W Niklaus Wirth, Tony Hoare 1966 APL Larry Breed, Dick Lathwell and co. 1966 ALGOL 68 A. Van Wijngaarden and co. 1968 AMOS BASIC FranÇois Lionet anConstantin Stiropoulos 1990 Alice ML Saarland University 2000 Agda Ulf Norell;Catarina coquand(1.0) 2007 Arc Paul Graham, Robert Morris and co. 2008 Bosque Mark Marron 2019 OBJECT-ORIENTED LANGUAGE DEVELOPER DATE C* Thinking Machine 1987 Actor Charles Duff 1988 Aldor Thomas J. Watson Research Center 1990 Amiga E Wouter van Oortmerssen 1993 Action Script Macromedia 1998 BeanShell JCP 1999 AngelScript Andreas Jönsson 2003 Boo Rodrigo B. -
Expert Python Programming Third Edition
Expert Python Programming Third Edition Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7 Michał Jaworski Tarek Ziadé BIRMINGHAM - MUMBAI Expert Python Programming Third Edition Copyright © 2019 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. Commissioning Editor: Kunal Chaudhari Acquisition Editor: Chaitanya Nair Content Development Editor: Zeeyan Pinheiro Technical Editor: Ketan Kamble Copy Editor: Safis Editing Project Coordinator: Vaidehi Sawant Proofreader: Safis Editing Indexer: Priyanka Dhadke Graphics: Alishon Mendonsa Production Coordinator: Shraddha Falebhai First published: September 2008 Second edition: May 2016 Third edition: April 2019 Production reference: 1270419 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78980-889-6 www.packtpub.com To my beloved wife, Oliwia, for her love, inspiration, and her endless patience. -
Op E N So U R C E Yea R B O O K 2 0
OPEN SOURCE YEARBOOK 2016 ..... ........ .... ... .. .... .. .. ... .. OPENSOURCE.COM Opensource.com publishes stories about creating, adopting, and sharing open source solutions. Visit Opensource.com to learn more about how the open source way is improving technologies, education, business, government, health, law, entertainment, humanitarian efforts, and more. Submit a story idea: https://opensource.com/story Email us: [email protected] Chat with us in Freenode IRC: #opensource.com . OPEN SOURCE YEARBOOK 2016 . OPENSOURCE.COM 3 ...... ........ .. .. .. ... .... AUTOGRAPHS . ... .. .... .. .. ... .. ........ ...... ........ .. .. .. ... .... AUTOGRAPHS . ... .. .... .. .. ... .. ........ OPENSOURCE.COM...... ........ .. .. .. ... .... ........ WRITE FOR US ..... .. .. .. ... .... 7 big reasons to contribute to Opensource.com: Career benefits: “I probably would not have gotten my most recent job if it had not been for my articles on 1 Opensource.com.” Raise awareness: “The platform and publicity that is available through Opensource.com is extremely 2 valuable.” Grow your network: “I met a lot of interesting people after that, boosted my blog stats immediately, and 3 even got some business offers!” Contribute back to open source communities: “Writing for Opensource.com has allowed me to give 4 back to a community of users and developers from whom I have truly benefited for many years.” Receive free, professional editing services: “The team helps me, through feedback, on improving my 5 writing skills.” We’re loveable: “I love the Opensource.com team. I have known some of them for years and they are 6 good people.” 7 Writing for us is easy: “I couldn't have been more pleased with my writing experience.” Email us to learn more or to share your feedback about writing for us: https://opensource.com/story Visit our Participate page to more about joining in the Opensource.com community: https://opensource.com/participate Find our editorial team, moderators, authors, and readers on Freenode IRC at #opensource.com: https://opensource.com/irc . -
Python in Education Teach, Learn, Program
ANALYZING THE ANALYZERS THE ANALYZING Python in Education Teach, Learn, Program Nicholas H. Tollervey ISBN: 978-1-491-92462-4 Python in Education Teach, Learn, Program Nicholas H.Tollervey Python in Education by Nicholas H. Tollervey Copyright © 2015 O’Reilly Media, Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://safaribooksonline.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Editor: Meghan Blanchette Interior Designer: David Futato Production Editor: Kristen Brown Cover Designer: Karen Montgomery Copyeditor: Gillian McGarvey Illustrator: Rebecca Demarest April 2015: First Edition Revision History for the First Edition 2015-03-11: First Release See http://oreilly.com/catalog/errata.csp?isbn=9781491924624 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Python in Educa‐ tion, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the author have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author disclaim all responsibility for errors or omissions, including without limi‐ tation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsi‐ bility to ensure that your use thereof complies with such licenses and/or rights. -
Python Programming (13A05806)
13A05806 Python Programming DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING PYTHON PROGRAMMING (13A05806) YEAR / SEM: IV / II PREPARED BY: Mr. P. Rama Rao Department of CSE-GPCET 13A05806 Python Programming (13A05806) PYTHON PROGRAMMING UNIT – I: Introduction:History of Python, Need of Python Programming, Applications Basics of Python Programming Using the REPL(Shell), Running Python Scripts, Variables, Assignment, Keywords, Input-Output, Indentation. Types - Integers, Strings, Booleans; UNIT – II: Operators and Expressions: Operators- Arithmetic Operators, Comparison (Relational) Operators, Assignment Operators, Logical Operators, Bitwise Operators, Membership Operators, Identity Operators, Expressions and order of evaluations. Data Structures Lists - Operations, Slicing, Methods; Tuples, Sets, Dictionaries, Sequences. Comprehensions. UNIT – III: Control Flow - if, if-elif-else, for, while, break, continue, pass Functions - Defining Functions, Calling Functions, Passing Arguments, Keyword Arguments, Default Arguments, Variable-length arguments, Anonymous Functions, Fruitful Functions(Function Returning Values), Scope of the Variables in a Function - Global and Local Variables. UNIT – IV: Modules: Creating modules, import statement, from ..import statement, name spacing, Python packages, Introduction to PIP, Installing Packages via PIP, Using Python Packages Error and Exceptions: Difference between an error and Exception, Handling Exception, try except block, Raising Exceptions, User Defined Exceptions . Object Oriented Programming OOP in Python: Classes, 'self variable', Methods, Constructor Method, Inheritance, Overriding Methods, Data Hiding, UNIT – V: Brief Tour of the Standard Library - Operating System Interface - String Pattern Matching, Mathematics, Internet Access, Dates and Times, Data Compression, Multi Threading, GUI Programming, Turtle Graphics. Testing: Why testing is required ?, Basic concepts of testing, Unit testing in Python, Writing Test cases, Running Tests. TEXT BOOKS 1. Python Programming: A Modern Approach, Vamsi Kurama, Pearson 2. -
Python Libraries.Pdf
Astronomy ESFRI & Research Infrastructure Cluster ASTERICS - 653477 2nd ASTERICS-OBELICS International School 4-8 June 2018, Annecy, France. H2020-Astronomy ESFRI and Research Infrastructure Cluster (Grant Agreement number: 653477). ASTERICS-OBELICS School 2018 / Annecy PYTHON LIBRARIES Tamás Gál [email protected] https:/github.com/tamasgal @tamasgal OVERVIEW • Who is this clown? • Python Introduction • Basic Python Internals • Libraries and Tools for Scientific Computing • NumPy • Numba Make it faster! • NumExpr } • SciPy • AstroPy • Pandas • SymPy Tools for scientists! • Matplotlib • Jupyter } • IPython WHO IS THIS CLOWN? • Tamás Gál, born 1985 in Debrecen (Hungary) • PhD candidate in astro particle physics at Erlangen Centre for Astroparticle Physics (ECAP) working on the KM3NeT project • Programming background: • Coding enthusiast since ~1993 • First real application written in Amiga Basic (toilet manager, tons of GOTOs ;) • Python, Julia, JavaScript and C/C+/Obj-C for work • Haskell for fun • Earlier also Java, Perl, PHP, Delphi, MATLAB, whatsoever… • I also like playing around with integrated circuits and Arduino • Some related projects: KM3Pipe (analysis framework in the KM3NeT experiment), RainbowAlga (interactive 3D neutrino event display), ROyWeb (interactive realtime visualisation/graphing) 4 PYTHON BRIEF HISTORY OF PYTHON • Rough idea in the late 1980s • Meant to descend the ABC language • First line of code in December 1989 by Guido van Rossum • Python 2.0 in October 2000 • Python 3.0 in December 2008 6 PYTHONS POPULARITY “Programming language of the year” in 2007 and 2010. 7 POPULAR LANGUAGES (MAY 2017) Python is the fourth most popular language and rocks the top 10 since 2003. 8 POPULAR LANGUAGES (MAY 2018) May 2017 Python is still the fourth most popular language and rocks the top 10 since 2003. -
Comparative Studies of Six Programming Languages
Comparative Studies of Six Programming Languages Zakaria Alomari Oualid El Halimi Kaushik Sivaprasad Chitrang Pandit Concordia University Concordia University Concordia University Concordia University Montreal, Canada Montreal, Canada Montreal, Canada Montreal, Canada [email protected] [email protected] [email protected] [email protected] Abstract Comparison of programming languages is a common topic of discussion among software engineers. Multiple programming languages are designed, specified, and implemented every year in order to keep up with the changing programming paradigms, hardware evolution, etc. In this paper we present a comparative study between six programming languages: C++, PHP, C#, Java, Python, VB ; These languages are compared under the characteristics of reusability, reliability, portability, availability of compilers and tools, readability, efficiency, familiarity and expressiveness. 1. Introduction: Programming languages are fascinating and interesting field of study. Computer scientists tend to create new programming language. Thousand different languages have been created in the last few years. Some languages enjoy wide popularity and others introduce new features. Each language has its advantages and drawbacks. The present work provides a comparison of various properties, paradigms, and features used by a couple of popular programming languages: C++, PHP, C#, Java, Python, VB. With these variety of languages and their widespread use, software designer and programmers should to be aware -
Study of Twitter Sentiment Analysis Using Machine Learning Algorithms on Python
International Journal of Computer Applications (0975 – 8887) Volume 165 – No.9, May 2017 Study of Twitter Sentiment Analysis using Machine Learning Algorithms on Python Bhumika Gupta, PhD Monika Negi, Kanika Vishwakarma, Goldi Assistant Professor, C.S.E.D Rawat, Priyanka Badhani G.B.P.E.C, Pauri, Uttarakhand, India B.Tech, C.S.E.D G.B.P.E.C Uttarakhand, India ABSTRACT 2. ABOUT SENTIMENT ANALYSIS Twitter is a platform widely used by people to express their Sentiment analysis is a process of deriving sentiment of a opinions and display sentiments on different occasions. particular statement or sentence. It’s a classification technique Sentiment analysis is an approach to analyze data and retrieve which derives opinion from the tweets and formulates a sentiment that it embodies. Twitter sentiment analysis is an sentiment and on the basis of which, sentiment classification application of sentiment analysis on data from Twitter is performed. (tweets), in order to extract sentiments conveyed by the user. In the past decades, the research in this field has consistently Sentiments are subjective to the topic of interest. We are grown. The reason behind this is the challenging format of the required to formulate that what kind of features will decide for tweets which makes the processing difficult. The tweet format the sentiment it embodies. is very small which generates a whole new dimension of In the programming model, sentiment we refer to, is class of problems like use of slang, abbreviations etc. In this paper, we entities that the person performing sentiment analysis wants to aim to review some papers regarding research in sentiment find in the tweets. -
A Brief Overview of Functional Programming Languages
electronic Journal of Computer Science and Information Technology (eJCSIT), Vol. 6, No. 1, 2016 A Brief Overview of Functional Programming Languages Jagatheesan Kunasaikaran1, Azlan Iqbal2 1ZALORA Malaysia, Jalan Dua, Chan Sow Lin, Kuala Lumpur, Malaysia e-mail: [email protected] 2College of Computer Science and Information Technology, Universiti Tenaga Nasional, Putrajaya Campus, Selangor, Malaysia e-mail: [email protected] Abstract – Functional programming is an important Common programming paradigms are procedural, object- programming paradigm. It is based on a branch of oriented and functional. Figure 1 illustrates conceptually mathematics known as lambda calculus. In this article, we the differences between the common programming provide a brief overview, aimed at those new to the field, and language paradigms [1]. Procedural and object-oriented explain the progress of functional programming since its paradigms mutate or alter the data along program inception. A selection of functional languages are provided as examples. We also suggest some improvements and speculate execution. On the other hand, in pure functional style, the on the potential future directions of this paradigm. data does not exist by itself or independently. A composition of function calls with a set of arguments Keywords – functional, programming languages, LISP, Python; generates the final result that is expected. Each function is Javascript,Java, Elm, Haskell ‘atomic’ as it only executes operations defined in it to the input data and returns the result of the computation to the ‘callee’. I. INTRODUCTION II. FUNCTIONAL LANGUAGES Programming languages can be classified into the style of programming each language supports. There are multiple Functional programming is based on mathematical logic. -
An Introduction to Python (PDF)
Introduction to Python Heavily based on presentations by Matt Huenerfauth (Penn State) Guido van Rossum (Google) Richard P. Muller (Caltech) ... Monday, October 19, 2009 Python • Open source general-purpose language. • Object Oriented, Procedural, Functional • Easy to interface with C/ObjC/Java/Fortran • Easy-ish to interface with C++ (via SWIG) • Great interactive environment • Downloads: http://www.python.org • Documentation: http://www.python.org/doc/ • Free book: http://www.diveintopython.org Monday, October 19, 2009 2.5.x / 2.6.x / 3.x ??? • “Current” version is 2.6.x • “Mainstream” version is 2.5.x • The new kid on the block is 3.x You probably want 2.5.x unless you are starting from scratch. Then maybe 3.x Monday, October 19, 2009 Technical Issues Installing & Running Python Monday, October 19, 2009 Binaries • Python comes pre-installed with Mac OS X and Linux. • Windows binaries from http://python.org/ • You might not have to do anything! Monday, October 19, 2009 The Python Interpreter • Interactive interface to Python % python Python 2.5 (r25:51908, May 25 2007, 16:14:04) [GCC 4.1.2 20061115 (prerelease) (SUSE Linux)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> • Python interpreter evaluates inputs: >>> 3*(7+2) 27 • Python prompts with ‘>>>’. • To exit Python: • CTRL-D Monday, October 19, 2009 Running Programs on UNIX % python filename.py You could make the *.py file executable and add the following #!/usr/bin/env python to the top to make it runnable. Monday, October 19, 2009 Batteries Included • Large collection of proven modules included in the standard distribution. -
International Journal of Advance Engineering and Research
International Journal of Advance Engineering and Research Development Scientific Journal of Impact Factor (SJIF): 4.72 Special Issue SIEICON-2017,April -2017 e-ISSN : 2348-4470 p-ISSN : 2348-6406 Python Programming-Applications and Future Kalyani Adawadkar1 1Head of Department, Department of Information Technology, Sigma Institute of Engineering Abstract — Python is a high-level and powerful object-oriented programming language created by Guido van Rossum. Because of its simple syntax, it is a very good choice for those who are learning programming for the first time. It is used in vast number of applications due to the various standard libraries that come along with it and its capacity to integrate with other languages and use their features. This paper describes the main features of Python programming. It lists out the difference between Python and other language with the help of some code. This paper then discusses applications of Python programming. To end with we will see a few good examples where python programming is being used. Keywords-programming, open source, object-oriented, interoperability, sockets I. INTRODUCTION Python was conceived in late 1980s, while its implementation began in late 1989 by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was implemented as a successor of ABC language capable of exception handling and interfacing with the operating system Amoeba. Van Rossum is Python's principal author, and his continuing central role in deciding the road to development of Python is reflected in the title given to him by the Python community, benevolent dictator for life (BDFL) [4,5,6].