This presentation is part of training session delivered during Train The Trainer (TOT) program on Embedded Software Engineer job role supported by ESSCI.
This presentation is part of training session delivered during Train The Trainer (TOT) program on Embedded Software Engineer job role supported by ESSCI.
What did functional programming ever do for us (software engineers)? An overview of advantages of functional programming, with code examples in Scala. See recorded presentation at https://youtu.be/glDudJ3fqLk
This presentation is part of training session delivered during Train The Trainer (TOT) program on Embedded Software Engineer job role supported by ESSCI.
This presentation is part of training session delivered during Train The Trainer (TOT) program on Embedded Software Engineer job role supported by ESSCI.
What did functional programming ever do for us (software engineers)? An overview of advantages of functional programming, with code examples in Scala. See recorded presentation at https://youtu.be/glDudJ3fqLk
MATLAB Programs For Beginners. | Abhi SharmaAbee Sharma
This is MATLAB's 10 most easy & most basic programs that I's supposed to submit in my practicals. In this document I've complied 10 MATLAB programs from basic to advanced through intermediate levels, But overall they are for beginners only. It's only a 26 pages doc. for academic purposes. well, What else a student can offer you, huh? LOLz
Actors and functional_reactive_programmingDiego Alonso
Slides from my presentation in the Typelevel Summit held in Lausanne, on the 14th of June 2019.
It introduces an implementation of Functional Reactive Programming, using an analogy with actors.
Intro to Functional Reactive Programming In ScalaDiego Alonso
An overview and introduction to the Functional Reactive Programming paradigm, including Arrowised FRP, and a small peek at a simplified implementation of AFRP in Scala based on Monadic Stream Functions.
Given at Scala eXchange on 13th of December 2018.
The Present and The Future of Functional Programming in C++Alexander Granin
Keynote talk for C++ Siberia 2019.
I'm speaking about why Functional Programming is important in C++ world, what is the philosophy of FP in C++, and what features do we have. I'm presenting a connection of constexpr and template metaprogramming to pure FP, and talking about why monads are inevitable. I'm also discussing an upcoming features in C++.
MATLAB Programs For Beginners. | Abhi SharmaAbee Sharma
This is MATLAB's 10 most easy & most basic programs that I's supposed to submit in my practicals. In this document I've complied 10 MATLAB programs from basic to advanced through intermediate levels, But overall they are for beginners only. It's only a 26 pages doc. for academic purposes. well, What else a student can offer you, huh? LOLz
Actors and functional_reactive_programmingDiego Alonso
Slides from my presentation in the Typelevel Summit held in Lausanne, on the 14th of June 2019.
It introduces an implementation of Functional Reactive Programming, using an analogy with actors.
Intro to Functional Reactive Programming In ScalaDiego Alonso
An overview and introduction to the Functional Reactive Programming paradigm, including Arrowised FRP, and a small peek at a simplified implementation of AFRP in Scala based on Monadic Stream Functions.
Given at Scala eXchange on 13th of December 2018.
The Present and The Future of Functional Programming in C++Alexander Granin
Keynote talk for C++ Siberia 2019.
I'm speaking about why Functional Programming is important in C++ world, what is the philosophy of FP in C++, and what features do we have. I'm presenting a connection of constexpr and template metaprogramming to pure FP, and talking about why monads are inevitable. I'm also discussing an upcoming features in C++.
want to learn about Aspect-Oriented Software Development with Use Cases. These ppts will help you . Still need more info or help with any assignment related to use case visit http://www.myassignmenthelp.net/uml-assignment-help.php
Evolutionary Problems In Aspect Oriented Software Developmentkim.mens
Presented at ERCIM Evolution workshop @ ICSM 2007, inspired by and based on:
K. MENS & T. TOURWE.
Evolution Issues in Aspect-Oriented Programming.
Chapter in book on "Software Evolution", edited by T. Mens & S. Demeyer, pp. 197–224. Springer, 2008.
This presentation identifies evolution-related issues and challenges in aspect-oriented programming. It can serve as a guideline for adopters of aspect technology to get a better idea of the evolution issues they may confront sooner or later, of the risks involved, and of the state-of-the-art in the techniques currently available to help them in addressing these issues. We focus in particular on the programming level, although some of the issues and challenges addressed may apply to earlier software development life-cycle phases as well. The discussed issues range from the exploration of crosscutting concerns in legacy code, via the migration of this code to an aspect-oriented solution, to the maintenance and evolution of the final aspect-oriented program over time. We discuss state-of-the-art techniques which address the issues of aspect exploration, extraction and evolution, and point out several issues for which no adequate solutions exist yet. We conclude that, even though some promising techniques are currently being investigated, due to the relative immaturity of the research domain many of the techniques are not out of the lab as yet.
With Ateji PX, no need to be specialized in Java threads, parallel programming on multicore, GPU, cloud and grid can be as simple as inserting a || operator in the source code.
With my simple implementation I wanted to demonstrate the basic ideas of th IO Monad.
My impl of the IO Monad is just a feasibility study, not production code!
When coding my impl of IO I was very much inspired by cats.effect.IO and monix.eval.Task which I studied at that time. Both are implementions of the IO Monad.
The API of my IO is very similar to the basics of Monix Task. This IO implementation also helped me to understand the IO Monad (of cats-effect) and Monix Task.
Interop with Future is also supported. You can convert IO to a Future. Vice versa you can convert a Future to an IO.
The development of my impl can be followed step by step in the code files in package iomonad.
JLK Chapter 5 – Methods and ModularityDRAFT January 2015 Edition.docxvrickens
JLK Chapter 5 – Methods and ModularityDRAFT January 2015 Edition pg. 25
An Introduction to
Computer Science with Java, Python and C++
Community College of Philadelphia edition
Copyright 2017 by C.W. Herbert, all rights reserved.
Last edited October 8, 28, 2019 by C. W. Herbert
This document is a draft of a chapter from An Introduction to Computer Science with Java, Python and C++, written by Charles Herbert. It is available free of charge for students in Computer Science courses at Community College of Philadelphia during the Fall 2019 semester. It may not be reproduced or distributed for any other purposes without proper prior permission.
Please report any typos, other errors, or suggestions for improving the text to [email protected]
Chapter 5 – Python Functions and Modular Programming
Contents
Lesson 5.1User Created Functions in Python2
Python Function Parameters2
Value returning functions3
Example – Methods and Parameter Passing5
9
Lesson 5.2Top-Down Design and Modular Development10
Chapter Exercises13
User Created Functions in Python
So far we have only created software with one continuous Python script. We have used functions from other python modules, such as the square root method from the math class math.sqrt(n). Now we will begin to create our own functions of our own.
A Python function is a block of code that can be used to perform a specific task within a larger computer program. It can be called as needed from other Python software. Most programming languages have similar features, such as methods in Java or subroutines in system software.
The code for user-defined functions in Python is contained in a function definition. A Python function definition is a software unit with a header and a block of Python statements. The header starts with the keyword def followed by the name of the function, then a set parenthesis with any parameters for the function. A colon is used after the parentheses to indicate a block of code follows, just as with the if and while statements. The block of code to be included within the function is indented.
Here is an example of a Python function:
# firstFunction.py
# first demonstration of the use of a function for CSCI 111
# last edited 10/08/2o19 by C. Herbert
function
definition
def myFunction():
print ( "This line being printed by the function MyFunction.\n")
# end myFunction()
### main program ###
function used by the main part of the script
print("Beginning\n")
myFunction()
print("End\n")
# end main program
Functions can used for code that will be repeated within a program, or for modular development, in which long programs are broken into parts and the parts are developed independently. The parts can be developed as Python functions, then integrated to work together by being called from other software.
Python Function Parameters
Data can be passed to a Python function as a parameter of the function. Function parameters are variables listed in parentheses foll ...
Creating sub zero dashboard plugin for apex with googleRoel Hartman
Presentation about how to create a Google Visualization PlugIn for Oracle Application Express. Presentation given at ODTUG 2010, APEXPosed 2010 and UKOUG 2010.
Keynote given at the Asia Pacific Software Engineering Conference (APSEC), December 2020, on Automated Program Repair technologies and their applications.
Build Your Own 3D Scanner: 3D Scanning with Structured LightingDouglas Lanman
Build Your Own 3D Scanner:
3D Scanning with Structured Lighting
http://mesh.brown.edu/byo3d/
SIGGRAPH 2009 Courses
Douglas Lanman and Gabriel Taubin
This course provides a beginner with the necessary mathematics, software, and practical details to leverage projector-camera systems in their own 3D scanning projects. An example-driven approach is used throughout; each new concept is illustrated using a practical scanner implemented with off-the-shelf parts. The course concludes by detailing how these new approaches are used in rapid prototyping, entertainment, cultural heritage, and web-based applications.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
1. Aspect-Oriented Software Development Course 2011 Technologies for Aspect-Oriented Software Development Eng. Esteban S. Abait ISISTAN – UNCPBA Universidad Nacional del Centro de la Provincia de Buenos Aires
26. Tool compatibility: it must be possible to extend existing tools to support AspectJ in a natural way
27. Programmers compatibility: Programming with AspectJ must feel like a natural extension of programming with Java Tool compatibility : AJDT provides tool support for AOSD with AspectJ in eclipse. AJDT is consistent with JDT.
54. Around advice: runs as the join point is reached, and has explicit control over whether the program proceeds with the join point pointcut move: call (void FigureElement.moveBy( int , int )) || call ( void Point.setX( int )) || call ( void Point.setY( int )) || call ( void Line.setP1( Point )) || call ( void Line.setP2( Point )); after () returning : move() { Display.update(); }
55.
56. Aspects can also have methods, fields and initializers public aspect DisplayUpdating { pointcut move: call (void FigureElement.moveBy( int , int )) || call ( void Point.setX( int )) || call ( void Point.setY( int )) || call ( void Line.setP1( Point )) || call ( void Line.setP2( Point )); after () returning : move() { Display.update(); } }
57. AspectJ Learning by example: Comparing both versions class Point implements FigureElement { private int x = 0, y = 0; int getX() { return x; } int getY() { return y; } void setX( int x) { this .x = x; Display.update() } void setY( int y) { this .y = y; Display.update(); } void moveBy( int dx, int dy) { ... } } class Line implements FigureElement{ private Point p1, p2; Point getP1() { return p1; } Point getP2() { return p2; } void setP1(Point p1) { this .p1 = p1; Display.update(); } void setP2(Point p2) { this .p2 = p2; Display.update(); } void moveBy( int dx, int dy) { ... } } Non-AOP version Scattered calls to Display.update() method class Point implements FigureElement { private int x = 0, y = 0; int getX() { return x; } int getY() { return y; } void setX( int x) { this .x = x; } void setY( int y) { this .y = y; } void moveBy( int dx, int dy) { ... } } class Line implements FigureElement{ private Point p1, p2; Point getP1() { return p1; } Point getP2() { return p2; } void setP1(Point p1) { this .p1 = p1; } void setP2(Point p2) { this .p2 = p2; } void moveBy( int dx, int dy) { ... } } AOP version The “update display” concern is located in one unit. No more code scattering public aspect DisplayUpdating { pointcut move: call (void FigureElement.moveBy( int , int )) || call ( void Point.setX( int )) || call ( void Point.setY( int )) || call ( void Line.setP1( Point )) || call ( void Line.setP2( Point )); after () returning : move() { Display.update(); } }
58.
59. A pointcut based on explicit enumeration of a set of method signatures is known as name-based
60. Pointcuts expressed in terms of properties of methods other than its exact name are known as property-based pointcut move: call (void FigureElement.moveBy( int , int )) || call ( void Point.setX( int )) || call ( void Point.setY( int )) || call ( void Line.setP1( Point )) || call ( void Line.setP2( Point )); pointcut move: call (void FigureElement.moveBy( int , int )) || call ( void Point.set * ( int )) || call ( void Line.set * ( Point )); Name-based Property-based
64. Extracting the values pointcut move ( Point p , int newX ): call ( void set X (..)) && target (Point) && args ( int ); pointcut move: call ( void Point.set X ( int )); before ( Point p , int newX ) : move ( p , newX ) { System.out.println (“The point ” + p + “ moved to: ” + newX); } Now the advice can use the data of the join point Dispatch a Point Join point: setX execution
65.
66.
67. The aspects on the left dominates the aspects on the right
72. implement interfaces and to declare super-types declare parents : banking..entities.* implements Identifiable; The declaration of parents must follow the regular Java object hierarchy rules. For example, you cannot declare a class to be the parent of an interface. Similarly, you cannot declare parents in such a way that it will result in multiple inheritance
73.
74.
75. The notify action gets scattered through all the hierachy of FigureElements void setP1(Point p1) { this .p1 = p1; super.setChanged(); super.notifyObservers(); } void setX( int x) { this .x = x; super.setChanged(); super.notifyObservers(); }
87. Load-time weaving – since AspectJ 1.5 * More information about how AspectJ's weaving works in “Advice Weaving in AspectJ” Hilsdale and Hugunin [5]
88.
89. Each file may declare a list of aspects to be used for weaving, type patterns describing which types should woven, and a set of options to be passed to the weaver
99. Because it is based on dynamic proxies, Spring only supports method join points Dynamic-weaving
100.
101.
102.
103.
104.
105.
106. There is no dependency on the AspectJ compiler or weaver @Aspect public class TracingAspect { public TracingAspect() {} @Pointcut("execution(* *.set*(..)) && args(x) && !within(TracingAspect)") public void setters( int x) {} @Before ("setters(x)") public void traceBefore( int x) { System.out.println("Object's state change to: " + x); } }
120. Configuration level : customize existing aspects to work with existing applications public class MyAspect extends AspectComponent { public void synchro(ClassItem cl, String method) { cl.getMethod(method).setAttribute(synchronized, new Boolean( true )); pointcut (ALL,ALL,ALL,MyWrapper.class,wrappingMethod,true); } } synchro C m1; synchro C m2;
131. These values can be changed without recompiling the aspect trace ".*" "aop.jac.Order" "addItem(java.lang.String,int):void"
170. G. Kiczales, E. Hilsdale, J. Hugunin, M. Kersten, J. Palm, and W. G. Griswold, "An Overview of AspectJ," in ECOOP, ser. Lecture Notes in Computer Science, J. L. Knudsen and J. L. Knudsen, Eds., vol. 2072. Springer, 2001, pp. 327-353.
171. R. Pawlak, J.-P. Retaillé, and L. Seinturier, Foundations of AOP for J2EE Development. Apress, September 2005
172. E. Gamma, R. Helm, R. Johnson, and J. M. Vlissides, Design Patterns: Elements of Reusable Object-Oriented Software (Addison-Wesley Professional Computing Series), illustrated edition ed. Addison-Wesley Professional, November 1994.
173. E. Hilsdale and J. Hugunin, "Advice weaving in aspectj," in AOSD '04: Proceedings of the 3rd international conference on Aspect-oriented software development. New York, NY, USA: ACM, 2004, pp. 26-35.
177. W. K. Havinga, I. Nagy, and L. M. J. Bergmans, "An analysis of aspect composition problems," in Proceedings of the Third European Workshop on Aspects in Software, 2006, Enschede, Netherlands.
178. T. Mens and T. Tourwé, "Evolution issues in aspect-oriented programming," 2008, pp. 203-232.
Editor's Notes
At most join points, there is contextual information available that you might want to use in any advice you write. For example, on a method call join point, you might want to know the parameters for that call; for an exception-handling join point, you might want to know the exception being handled. AspectJ defines a number of pointcut designators that enable a pointcut to provide this information to advice. The args designator is the first of these we are going to look at. Args Pointcut Designator (Context designator) args(Type,..) Matchs a join point where the arguments are instances of the specified types. Target Pointcut Designator (Context Designator) target(Type) Matches a join point where the target object is an instance of Type.