The document discusses functions as first-class objects in Ruby. It explains that functions can be passed as arguments to other functions, and functions that accept other functions as arguments are known as higher-order functions. This allows patterns of computation to be abstracted and combined. Examples are given of functions like map, filter, and reduce that iterate over collections and accept a block to encapsulate the iteration logic. Closures are also discussed, where a function captures variables from its enclosing scope, allowing those variables to be accessed even after the function is returned.
Using functional concepts in Python. Introduction to functional programming and exploring each of the concepts, like map, filter and reduce in detail and how functional programming can help creating massively parallel software systems
Chapter 2 Decision Making (Python Programming Lecture)IoT Code Lab
Python Programming Course Lecture by IoT Code Lab Training.
Discussed Topic:
Chapter 2: Decision Making
* Decision Making (Conditional Statement)
* Comparisons Operator Example
* Logical Operator Example
* Bitwise Operator Example
* Practice Problem 2.1
* Practice Problem 2.2
* Practice Problem 2.3
Using functional concepts in Python. Introduction to functional programming and exploring each of the concepts, like map, filter and reduce in detail and how functional programming can help creating massively parallel software systems
Chapter 2 Decision Making (Python Programming Lecture)IoT Code Lab
Python Programming Course Lecture by IoT Code Lab Training.
Discussed Topic:
Chapter 2: Decision Making
* Decision Making (Conditional Statement)
* Comparisons Operator Example
* Logical Operator Example
* Bitwise Operator Example
* Practice Problem 2.1
* Practice Problem 2.2
* Practice Problem 2.3
Python Programming Course Lecture by IoT Code Lab Training.
Discussed Topic:
Chapter 1: Basic Programming
* Operator
* Arithmetic Operation Example
* Assignment Operation Example
* Built in Function Example
* Math Module Example
* Other Operators
* Practice Problem 1.1
* Practice Problem 1.2
* Practice Problem 1.3
Functional Python Webinar from October 22nd, 2014Reuven Lerner
Slides from my free functional Python webinar, given on October 22nd, 2014. Discussion included functional programming as a perspective, passing functions as data, and writing programs that take functions as parameters. Includes (at the end) a coupon for my new ebook, Practice Makes Python.
Introduction to Functional Programming in JavaScripttmont
A presentation I did for work on functional programming. It's meant as an introduction to functional programming, and I implemented the fundamentals of functional programming (Church Numerals, Y-Combinator, etc.) in JavaScript.
A presentation about the ideas of recursion and recursive functions.
This is my lecture presentation during A. Paruj Ratanaworabhan’s basic preparatory programming course for freshmen: Introduction to Programming: A Tutorial for New Comers Using Python
This is continuation of the slide Advanced C part 1. In part 1 you learnt about fundamentals of C - How to build an algorithm, operators. In this module - Advanced C part 2 you will be learning about functions, pointers and standard Input Output functions. This slide will help you to move a further ahead in Advanced C and gain deeper knowledge on it.
following is work on Advance Python part 1 Functional Programming in Python
for code and more details plz do visit
https://lnkd.in/dnQF95z
for more free study material and Projects follow on
Github
https://lnkd.in/gYKtuB3
LinkedIn
https://lnkd.in/daSvf_P
#python #datascience #programming #machinelearning #github #deeplearning #coding #developer #projects #work #developers #linkedin #google #amazonindia#IBM
Python Programming Course Lecture by IoT Code Lab Training.
Discussed Topic:
Chapter 1: Basic Programming
* Operator
* Arithmetic Operation Example
* Assignment Operation Example
* Built in Function Example
* Math Module Example
* Other Operators
* Practice Problem 1.1
* Practice Problem 1.2
* Practice Problem 1.3
Functional Python Webinar from October 22nd, 2014Reuven Lerner
Slides from my free functional Python webinar, given on October 22nd, 2014. Discussion included functional programming as a perspective, passing functions as data, and writing programs that take functions as parameters. Includes (at the end) a coupon for my new ebook, Practice Makes Python.
Introduction to Functional Programming in JavaScripttmont
A presentation I did for work on functional programming. It's meant as an introduction to functional programming, and I implemented the fundamentals of functional programming (Church Numerals, Y-Combinator, etc.) in JavaScript.
A presentation about the ideas of recursion and recursive functions.
This is my lecture presentation during A. Paruj Ratanaworabhan’s basic preparatory programming course for freshmen: Introduction to Programming: A Tutorial for New Comers Using Python
This is continuation of the slide Advanced C part 1. In part 1 you learnt about fundamentals of C - How to build an algorithm, operators. In this module - Advanced C part 2 you will be learning about functions, pointers and standard Input Output functions. This slide will help you to move a further ahead in Advanced C and gain deeper knowledge on it.
following is work on Advance Python part 1 Functional Programming in Python
for code and more details plz do visit
https://lnkd.in/dnQF95z
for more free study material and Projects follow on
Github
https://lnkd.in/gYKtuB3
LinkedIn
https://lnkd.in/daSvf_P
#python #datascience #programming #machinelearning #github #deeplearning #coding #developer #projects #work #developers #linkedin #google #amazonindia#IBM
Presentacion efectuada por Ivan Fuenzalida, Director de la Unidad Especializada en Responsabilidad Penal Adolescente y Violencia Intrafamiliar del Ministerio Público, en el marco del seminario organizado por UNICEF en diciembre del 2007.
C++ Searching & Sorting5. Sort the following list using the select.pdfRahul04August
C++ Searching & Sorting
5. Sort the following list using the selection sort algorithm. Show the list after each iteration of
the outerforloop.
36, 55, 17, 35, 63, 85, 12, 48, 3, 66
6. Consider the following list: 5, 18, 21, 10, 55, 20
The first three keys are in order. To move 10 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
7. Consider the following list: 7, 28, 31, 40, 5, 20
The first four keys are in order. To move 5 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
8. Consider the following list: 28, 18, 21, 10, 25, 30, 12, 71, 32, 58, 15
This list is to be sorted using the insertion sort algorithm. Show the resulting list after six
passes of the sorting phase – that is, after six iterations of the for loop.
9. Perform the insertion sort algorithm using the following list of keys: 18, 8, 11, 9, 15, 20, 32,
61, 22, 48, 75, 83, 35, 3
Show the list after each iteration. Exactly how many key comparisons are executed to sort this
list using insertion sort?
10. a. The performance of bubble sort can be improved if we stop the sorting process as soon as
we find that in an iteration, no swapping of elements takes place. Write a function that
implements bubble sort algorithm using this fact.
b. Using the algorithm that you designed in part (a), find the number of iterations that are needed
to sort the list: 65, 14, 52, 43, 75, 25, 80, 90, 95.
11. Suppose that L is a sorted list of 4096 elements. What is the maximum number of
comparisons made by binary search to determine whether an item is in L?
12. Suppose that the elements of a list are in descending order, and they need to be put in
ascending order. Write a C++ function that takes as input an array of items in descending order
and the number of elements in the array. The function must not incorporate any sorting
algorithms, that is, no item comparisons should take place.
Solution
# include
# include
# include
#include
#include
#include
#include
// Function related to sorting in class sorting
class sorting
{
int array[50],array1[50],final[100],i,n,m,j;
public:
// Function to read an array
void read();
// Function to read arrays for merge sort
void read_mer();
// Function to display an array
void display();
// Function to perform bubble sort
void bub_sort();
// Function to perform selection sort
void Sel_sort();
// Function to perform insertion sort
void Ins_sort();
// Function to perform quick sort
void Qui_sort();
// Function to perform heap sort
void Heap_sort();
// Function to build a heap
void heap(int array[], int n);
// Function to interchange the value of root node with a
// child node in heap sort
void below_heap(int array[], int first, int last);
// Function to perform merges sort
void Mer_sort();
// Function to perform shell sort
void Shell_sort();
// Function to split the array into two halves during quick sort
void partition(int arra.
Evolving with Java - How to Remain EffectiveNaresha K
Slides from my Java2Days 2020 talk - "Evolving with Java - How to Remain Effective".
Developers find themselves in need to continually update themselves with the rapidly changing technologies to remain relevant and deliver value. However, by keeping a few things in mind and with certain practices, this can be a pleasant experience. In this presentation, I share my experiences learning and evolving with Java in the last 15+ years. The ideas presented are generic enough to be applicable for people using any technology stack. However, the code examples are in Java/ JVM languages.
We start by understanding the importance of gradual improvement. To keep motivated for continuous improvement, in my experience, responsiveness is a vital element. I share my experience of how to increase your responsiveness. To be able to change/ experiment continuously in our code, we need to ensure that we don't break anything. We explore the necessary techniques to achieve safety. Often we mistakenly consider lack of familiarity as complexity. We explore options to come out of this confusion. We then touch upon the impact of learning paradigms and multiple languages available on the JVM. Finally, we touch upon another important aspect of continuous improvement that is unlearning. We conclude the session by summarising the principles.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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
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
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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
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.
3. list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ] # in a language like Java, C, C++ you could write something like: for (int i = 0 ; i < list.size(); i ++ ){ puts list[i]; } for i in list puts i end list.each {| i | puts i }
4. {| i | puts i} | i | # are the parameters of the block puts i # is the body of the block {} # define the start and end of the block def anon_function ( i ) puts i end
15. another example def even? ( num ) num % 2 == 0 end def reject_evens ( list ) return_list = Array . new list.each do | item | return_list << item unless even?(item) end return_list end def reject_odds ( list ) return_list = Array . new list.each do | item | return_list << item if even?(item) end return_list end list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ] reject_evens(list) #=> [1,3,5,7,9] reject_odds(list) #=> [2,4,6,8]
16. def reject ( list, & block ) return_list = Array . new list.each do item return_list << item if block.call(item) end return_list end list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ] reject(list) {| i | even?(i) } #=> [1,3,5,7,9] reject(list) {| i | !even?(i) } #=> [2,4,6,8]
17. def make_rejector ( & block ) lambda do | list | return_list = Array . new list.each do | item | return_list << element unless block.call(item) end return_list end end list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ] odd_rejector = make_rejector {| i | odd?(i) } odd_rejector.call(list) #=> [2,4,6,8]
18.
19. def make_rejector ( & block ) lambda do | list | return_list = Array . new list.each do | item | return_list << element if block.call(item) end return_list end end
20. example closures def complement f lambda {|* args | not f.call( * args) } end even? = lambda {| n | n % 2 == 0 } odd? = complement(even?) odd?.call( 1 ) # true odd?.call( 2 ) # false
21. def compose f, g lambda {|* args | f.call(g.call( * args)) } end find = lambda {| name | User .find_by_username(name) } auth = lambda {| u | User .authenticate(u) } find_and_authenticate = compose(auth, find) find_and_authenticate.call( "Erock" ) #=> true
22. in the wild def returning ( value ) #active_support yield (value) value end returning([]) do | list | list << 1 list << 2 end # => [1,2]
23. respond_to do | format | format.html format.js { render :action => "index.rjs" } format.xml { render :xml => @user .to_xml } end # Rails RESTful routing map.resources :users do | user | user.resources :blogs end
24. # Rspec require 'bowling' describe Bowling do before( :each ) do @bowling = Bowling . new end it "should score 0 for gutter game" do 20 .times { @bowling .hit( 0 ) } @bowling .score.should == 0 end end