In this project my team and I tried our hands-on Functional Programming. Our aim was to compare challenges, efforts, and ease in developing a same application "MarkParser" (a Markdown parser) using both the paradigms.
Clean code is subjective and every developer has a personal take on it. There are some ideas that are considered best practice and what constitutes clean code within the industry and community, but there is no definitive distinction.
This document discusses the principles of clean code based on Robert C. Martin's book "Clean Code". It covers topics like why clean code is important, guidelines for writing clean code like keeping methods small and using descriptive names, design principles like DRY and YAGNI, and code smells to avoid like long methods and duplicated code. The overall goal is to create code that is easy to read, understand and maintain over time.
Presentation on writing clean and maintainable good. I have present really simple steps to write high quality code and share many more benefit of writing clean code.
This document discusses object-oriented programming paradigms and characteristics. It begins by stating that most will work in IT and knowing OO paradigms can help careers. It then discusses the key characteristics of OO paradigms - abstraction, encapsulation, inheritance, and polymorphism. Examples are given to explain each characteristic from programming and modeling perspectives. The document concludes that a strong OO model reinforces the weak model using these four key characteristics.
Chia sẻ về Clean Code tại XPDay Vietnam 2016.
Clean Code là gì?
Tại sao phải Clean Code?
Clean Code có khó không?
Một số ví dụ thực tế về áp dụng Clean Code.
Tag Extraction Final Presentation - CS185CSpring2014Naoki Nakatani
These slides were presented in class on May 7th 2014.
Task allocation
• George : ETL, Data Analysis, Machine Learning, Multi-label classification with Apache Spark
• Naoki : ETL, Data Analysis, Machine Learning, Feature Engineering, Multi-label classification with Apache Mahout
This ppt is based on the book "Clean Code" written by Robert C Martin. It's a wonderful book and cover all the mistakes that we do while writing bad code. I am sharing few good practices shared in the book, hope you will like it
Object Oriented Programming vs Functional Programming - Valencia.rbDaniel Pecos Martínez
Charla del día 1 de Abril de 2014 sobre Programación Funcional, inlcuyendo temas como closures, tail call optimization y function composition. Repo con los ejemplos en: https://github.com/valenciarb/functional-programming
HTTP/2 Presentation at Barcamp 2015, Yerevan AM. The full transcripts are in my blog post https://github.com/vahe-evoyan/http2-presentation
Data flow vs. procedural programming: How to put your algorithms into FlinkMikio L. Braun
The document discusses the differences between procedural and data flow programming paradigms, using Apache Flink as an example data flow system. Data flow programming uses sets of data as basic building blocks and operations on these sets, rather than variables and control flow. It describes translating algorithms like computing a sum or mean, least squares regression, and vector/matrix operations into data flow operations. Broadcast variables are introduced as a way to combine intermediate results in data flow programming.
Lean DevOps - Lessons Learned from Innovation-driven CompaniesXavier Amatriain
This document summarizes a presentation about lean DevOps practices. It discusses how companies can optimize for innovation through experimentation while balancing factors like cost, availability, scalability, speed, security, and developer happiness. The presentation outlines lessons learned, including that quality pays off by reducing technical debt, metrics are important, and competing priorities like speed and cost can conflict so teams must find the right balance. It concludes that lean approaches benefit companies and DevOps teams by encouraging innovation, but also add risk, so processes are needed to optimize across concerns like customer experience, infrastructure stability, and business outcomes.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1ncT8iO.
From its simple roots as a PHP program, Uber has grown into a complex distributed system deployed across multiple datacenters using multiple databases and programming languages. Matt Ranney covers the evolution of Uber's architecture and some of the systems they built to handle the current scaling challenges. Filmed at qconsf.com.
Matt Ranney is the Chief Systems Architect at Uber. He has a computer science degree which has come in handy over a career of mostly network engineering, operations, and analytics.
“An investment in knowledge always pays the best interest.” – Benjamin Franklin. Here is a list of 10 books that I believe that every developer should read. Take a look.
The Charming Genius of the Apollo Guidance ComputerBrian Troutwine
The Apollo Project was the first flight system to deploy with a digital, general-purpose computer made of integrated circuits at its core: the Apollo Guidance Computer (AGC). It was a complete research project: no IC computer had run consecutively for more than a few hours, sophisticated programming techniques were unknown and the interactive human/computer interface had to be invented and made to appeal to astronauts opposed to machine interference in flight operations.
In this talk I'll give the historical context for the AGC, discuss its initial design and the evolution of this design as the Apollo Project progressed. We'll do a deep-dive on the machine architecture and note how tight integration with a special-purpose vehicle admitted incredibly sophisticated behaviour from a primitive machine. We'll further discuss the human/computer interface for the AGC, how the astronaut's flight roles dictated the computer's role and vice versa. Motivating examples from select Apollo flights will be used.
Throughout, we'll keep an eye on lessons to be gleaned from the experience of engineering the AGC and how we can adapt these lessons to modern computer systems in mission-critical deployments.
This document discusses the state of the wearables market. It notes that while 245 million wearable devices will be sold in 2019, the market remains complex and early in its development. Early wearables like fitness bands and Google Glass struggled with clearly communicating their value proposition and benefits to consumers. For wearables to gain widespread adoption, marketers need to focus on providing useful context, information, and entertainment to users without being intrusive. The challenges are to capitalize on this new platform while respecting users' personal space and preferences around small screen interactions.
This document summarizes Rachel Andrew's presentation on CSS Grid Layout. Some key points:
- CSS Grid Layout provides a new two-dimensional layout system for CSS that solves many of the problems of previous methods like floats and flexbox.
- Grid uses line-based placement, with grid lines that can be explicit or implicit, to position items on the page. Properties like grid-column and grid-row position items within the grid.
- The grid template establishes the structure of rows and columns. Items can span multiple tracks. Fraction units like fr distribute space proportionally.
- Common layouts like Holy Grail are easily achieved with Grid. The structure can also adapt at breakpoints by redefining
A look at where the market of the Internet of Things is and how technologies like Node.js (JavaScript) and the Intel Edison are making it easier to create connected solutions.
Learn more at https://losant.com.
The major topics include:
* What is the Internet of Things
* Where is IoT Today
* 4 Parts of IoT (Collect, Communicate, Analyze, Act)
* Why JavaScript is Good for IoT
* How Node.js is Making a Dent in the Internet of Things
* What npm Modules are used for Hardware (Johnny-Five, Cylon.js, MRAA)
* What is the Intel Edison
* How to Best Work with the Edison
* Tips for Edison (MRAA, Grove Kit, UPM)
* Where the World of JavaScript and IoT is Going
Launching a Rocketship Off Someone Else's Backjoshelman
The document discusses strategies for startups to build on top of large platforms to gain users and grow rapidly. It notes that while platforms are not there to specifically help startups, they can be beneficial for acceleration if used correctly. The key strategies are to 1) build products that provide clear value to users and incentives for the platform, 2) design products to work independently of platforms since platforms will change, and 3) use platforms for user acquisition and acceleration only, not as a primary distribution method or business model. Successful examples include Instagram, YouTube, and Dubsmash who leveraged platforms initially but became independent destinations.
Creative Traction Methodology - For Early Stage StartupsTommaso Di Bartolo
The document discusses the Creative Traction Methodology (CTM) for gaining traction for new products and ideas. CTM has three parts: 1) The Idea Release Life Cycle which emphasizes validating ideas before development and engaging communities early. 2) Ransack Tools which means leveraging new growth hacking strategies and tools. 3) Act Creatively which involves lateral thinking with no biases to attract niche audiences and validate assumptions through experimentation. The document provides examples and case studies for applying each part of CTM.
Reactive design: languages, and paradigmsDean Wampler
A talk first given at React 2014 and refined for YOW! LambdaJam 2014 that explores the meaning of Reactive Programming, as described in the Reactive Manifesto, and how well it is supported by general design paradigms, like Functional Programming, Object-Oriented Programming, and Domain Driven Design, and by particular design approaches, such as Functional Reactive Programming, Reactive Extensions, Actors, etc.
Functional programming and ruby in functional styleNiranjan Sarade
This presentation gives brief introduction to Functional Programming and how we can apply functional style of programming in Ruby language. The mentioned references are of great help to prepare this presentation. Especially video talks of Dr. Venkat Subramaniam. Some slides are from his presentation.
Functional programming (FP) is becoming popular day by day ! The initial learning curve for some of the functional languages like Lisp, Haskell, OCaml, Scala, Scheme, Clojure, etc. .... (there are many) might be high, but once you know the problem context and power of functions, you will work like a boss ! You will be more declarative than imperative !
Ruby is an Object Oriented (OO) language and we love Ruby, isn't it ? But once you understand the importance of FP, you would certainly want to apply FP concepts while writing Ruby code. In fact, you might have used some of those concepts unknowingly. Yes, we are talking about lambda, proc .. but, that's not all. Learn to unleash the power of Ruby in the hands of a functional programmer! You can write wonderful (and working) ruby code with functional style. In this presentation, I will briefly go through FP basics and then jump over to code examples.
Finally, it's all about changing your mindset! No one has stopped you to become a Boss !
The document discusses functional programming versus object-oriented programming paradigms for developing a human resources management system. It explains that functional programming uses immutable data and focuses on evaluating functions, while object-oriented programming uses mutable data and is based on objects with attributes and behaviors. The document concludes that object-oriented programming is preferred for the HR system since it organizes code around objects and methods, which is suitable when there are many things with few operations like in a HR department.
Object Modeling Technique (OMT) is real world based modeling approach for software modeling and designing. It was developed basically as a method to develop object-oriented systems and to support object-oriented programming. It describes the static structure of the system.
Object Modeling Technique is easy to draw and use. It is used in many applications like telecommunication, transportation, compilers etc. It is also used in many real world problems. OMT is one of the most popular object oriented development techniques used now-a-days. OMT was developed by James Rambaugh.
Purpose of Object Modeling Technique:
To test physical entity before construction of them.
To make communication easier with the customers.
To present information in an alternative way i.e. visualization.
To reduce the complexity of software.
To solve the real world problems.
Object Modeling Technique’s Models:
There are three main types of models that has been proposed by OMT.
Object Model:
Object Model encompasses the principles of abstraction, encapsulation, modularity, hierarchy, typing, concurrency and persistence. Object Model basically emphasizes on the object and class. Main concepts related with Object Model are classes and their association with attributes. Predefined relationships in object model are aggregation and generalization (multiple inheritance).
Dynamic Model:
Dynamic Model involves states, events and state diagram (transition diagram) on the model. Main concepts related with Dynamic Model are states, transition between states and events to trigger the transitions. Predefined relationships in object model are aggregation (concurrency) and generalization.
Functional Model:
Functional Model focuses on the how data is flowing, where data is stored and different processes. Main concepts involved in Functional Model are data, data flow, data store, process and actors. Functional Model in OMT describes the whole processes and actions with the help of data flow diagram (DFD).
Phases of Object Modeling Technique:
OMT has the following phases:
Analysis:
This the first phase of the object modeling technique. This phase involves the preparation of precise and correct modelling of the real world problems. Analysis phase starts with setting a goal i.e. finding the problem statement. Problem statement is further divided into above discussed three models i.e. object, dynamic and functional model.
System Design:
This is the second phase of the object modeling technique and it comes after the analysis phase. It determines all system architecture, concurrent tasks and data storage. High level architecture of the system is designed during this phase.
FOR MORE INFORMATION CLICK ON THE LINK BELOW :
https://uii.io/programming
Object-oriented analysis and design (OOAD) is a popular approach for analyzing, designing, and developing applications using the object-oriented paradigm. It involves modeling a system as a group of interacting objects at various levels of abstraction. Key concepts in OOAD include objects, classes, attributes, methods, encapsulation, inheritance, polymorphism, and relationships like association, aggregation, and composition. Common OOAD techniques include use case diagrams, which show interactions between actors and the system, and class diagrams, which describe the structure and behavior of system objects and their relationships.
Handout on Object orienetd Analysis and DesignSAFAD ISMAIL
Object-oriented analysis and design (OOAD) is introduced as an approach to analyzing, designing, and developing applications through applying the object-oriented paradigm and visual modeling. Key concepts in OOAD include modeling systems as interacting objects, object-oriented analysis to understand concepts in the problem domain, and object-oriented design to define software objects representing analysis concepts. The document then discusses object basics, the object-oriented development life cycle, benefits of the object-oriented approach, and unified modeling language (UML) as a standard modeling notation for object-oriented systems development.
Ruby supports functional programming principles through features like blocks, lambdas, and immutable objects. Some advantages of a functional style include cleaner code with no side effects, referential transparency allowing parallelization and easier debugging, and the use of recursion instead of loops. While Ruby is an imperative language, applying concepts like map, filter, reduce, and avoiding mutable state can make code more clear and maintainable.
Design functional solutions in Java, a practical exampleMarian Wamsiedel
The document discusses different approaches to controlling vehicles remotely using vocal commands in Java, including:
1. An object-oriented approach modeling commands as classes and executing them sequentially.
2. A pure functional approach using immutable functions to model commands and folding them to execute sequentially without side effects.
3. A functional approach with effects, using Try monads to isolate exceptions and allow sequential execution while handling errors.
HTTP/2 Presentation at Barcamp 2015, Yerevan AM. The full transcripts are in my blog post https://github.com/vahe-evoyan/http2-presentation
Data flow vs. procedural programming: How to put your algorithms into FlinkMikio L. Braun
The document discusses the differences between procedural and data flow programming paradigms, using Apache Flink as an example data flow system. Data flow programming uses sets of data as basic building blocks and operations on these sets, rather than variables and control flow. It describes translating algorithms like computing a sum or mean, least squares regression, and vector/matrix operations into data flow operations. Broadcast variables are introduced as a way to combine intermediate results in data flow programming.
Lean DevOps - Lessons Learned from Innovation-driven CompaniesXavier Amatriain
This document summarizes a presentation about lean DevOps practices. It discusses how companies can optimize for innovation through experimentation while balancing factors like cost, availability, scalability, speed, security, and developer happiness. The presentation outlines lessons learned, including that quality pays off by reducing technical debt, metrics are important, and competing priorities like speed and cost can conflict so teams must find the right balance. It concludes that lean approaches benefit companies and DevOps teams by encouraging innovation, but also add risk, so processes are needed to optimize across concerns like customer experience, infrastructure stability, and business outcomes.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1ncT8iO.
From its simple roots as a PHP program, Uber has grown into a complex distributed system deployed across multiple datacenters using multiple databases and programming languages. Matt Ranney covers the evolution of Uber's architecture and some of the systems they built to handle the current scaling challenges. Filmed at qconsf.com.
Matt Ranney is the Chief Systems Architect at Uber. He has a computer science degree which has come in handy over a career of mostly network engineering, operations, and analytics.
“An investment in knowledge always pays the best interest.” – Benjamin Franklin. Here is a list of 10 books that I believe that every developer should read. Take a look.
The Charming Genius of the Apollo Guidance ComputerBrian Troutwine
The Apollo Project was the first flight system to deploy with a digital, general-purpose computer made of integrated circuits at its core: the Apollo Guidance Computer (AGC). It was a complete research project: no IC computer had run consecutively for more than a few hours, sophisticated programming techniques were unknown and the interactive human/computer interface had to be invented and made to appeal to astronauts opposed to machine interference in flight operations.
In this talk I'll give the historical context for the AGC, discuss its initial design and the evolution of this design as the Apollo Project progressed. We'll do a deep-dive on the machine architecture and note how tight integration with a special-purpose vehicle admitted incredibly sophisticated behaviour from a primitive machine. We'll further discuss the human/computer interface for the AGC, how the astronaut's flight roles dictated the computer's role and vice versa. Motivating examples from select Apollo flights will be used.
Throughout, we'll keep an eye on lessons to be gleaned from the experience of engineering the AGC and how we can adapt these lessons to modern computer systems in mission-critical deployments.
This document discusses the state of the wearables market. It notes that while 245 million wearable devices will be sold in 2019, the market remains complex and early in its development. Early wearables like fitness bands and Google Glass struggled with clearly communicating their value proposition and benefits to consumers. For wearables to gain widespread adoption, marketers need to focus on providing useful context, information, and entertainment to users without being intrusive. The challenges are to capitalize on this new platform while respecting users' personal space and preferences around small screen interactions.
This document summarizes Rachel Andrew's presentation on CSS Grid Layout. Some key points:
- CSS Grid Layout provides a new two-dimensional layout system for CSS that solves many of the problems of previous methods like floats and flexbox.
- Grid uses line-based placement, with grid lines that can be explicit or implicit, to position items on the page. Properties like grid-column and grid-row position items within the grid.
- The grid template establishes the structure of rows and columns. Items can span multiple tracks. Fraction units like fr distribute space proportionally.
- Common layouts like Holy Grail are easily achieved with Grid. The structure can also adapt at breakpoints by redefining
A look at where the market of the Internet of Things is and how technologies like Node.js (JavaScript) and the Intel Edison are making it easier to create connected solutions.
Learn more at https://losant.com.
The major topics include:
* What is the Internet of Things
* Where is IoT Today
* 4 Parts of IoT (Collect, Communicate, Analyze, Act)
* Why JavaScript is Good for IoT
* How Node.js is Making a Dent in the Internet of Things
* What npm Modules are used for Hardware (Johnny-Five, Cylon.js, MRAA)
* What is the Intel Edison
* How to Best Work with the Edison
* Tips for Edison (MRAA, Grove Kit, UPM)
* Where the World of JavaScript and IoT is Going
Launching a Rocketship Off Someone Else's Backjoshelman
The document discusses strategies for startups to build on top of large platforms to gain users and grow rapidly. It notes that while platforms are not there to specifically help startups, they can be beneficial for acceleration if used correctly. The key strategies are to 1) build products that provide clear value to users and incentives for the platform, 2) design products to work independently of platforms since platforms will change, and 3) use platforms for user acquisition and acceleration only, not as a primary distribution method or business model. Successful examples include Instagram, YouTube, and Dubsmash who leveraged platforms initially but became independent destinations.
Creative Traction Methodology - For Early Stage StartupsTommaso Di Bartolo
The document discusses the Creative Traction Methodology (CTM) for gaining traction for new products and ideas. CTM has three parts: 1) The Idea Release Life Cycle which emphasizes validating ideas before development and engaging communities early. 2) Ransack Tools which means leveraging new growth hacking strategies and tools. 3) Act Creatively which involves lateral thinking with no biases to attract niche audiences and validate assumptions through experimentation. The document provides examples and case studies for applying each part of CTM.
Reactive design: languages, and paradigmsDean Wampler
A talk first given at React 2014 and refined for YOW! LambdaJam 2014 that explores the meaning of Reactive Programming, as described in the Reactive Manifesto, and how well it is supported by general design paradigms, like Functional Programming, Object-Oriented Programming, and Domain Driven Design, and by particular design approaches, such as Functional Reactive Programming, Reactive Extensions, Actors, etc.
Functional programming and ruby in functional styleNiranjan Sarade
This presentation gives brief introduction to Functional Programming and how we can apply functional style of programming in Ruby language. The mentioned references are of great help to prepare this presentation. Especially video talks of Dr. Venkat Subramaniam. Some slides are from his presentation.
Functional programming (FP) is becoming popular day by day ! The initial learning curve for some of the functional languages like Lisp, Haskell, OCaml, Scala, Scheme, Clojure, etc. .... (there are many) might be high, but once you know the problem context and power of functions, you will work like a boss ! You will be more declarative than imperative !
Ruby is an Object Oriented (OO) language and we love Ruby, isn't it ? But once you understand the importance of FP, you would certainly want to apply FP concepts while writing Ruby code. In fact, you might have used some of those concepts unknowingly. Yes, we are talking about lambda, proc .. but, that's not all. Learn to unleash the power of Ruby in the hands of a functional programmer! You can write wonderful (and working) ruby code with functional style. In this presentation, I will briefly go through FP basics and then jump over to code examples.
Finally, it's all about changing your mindset! No one has stopped you to become a Boss !
The document discusses functional programming versus object-oriented programming paradigms for developing a human resources management system. It explains that functional programming uses immutable data and focuses on evaluating functions, while object-oriented programming uses mutable data and is based on objects with attributes and behaviors. The document concludes that object-oriented programming is preferred for the HR system since it organizes code around objects and methods, which is suitable when there are many things with few operations like in a HR department.
Object Modeling Technique (OMT) is real world based modeling approach for software modeling and designing. It was developed basically as a method to develop object-oriented systems and to support object-oriented programming. It describes the static structure of the system.
Object Modeling Technique is easy to draw and use. It is used in many applications like telecommunication, transportation, compilers etc. It is also used in many real world problems. OMT is one of the most popular object oriented development techniques used now-a-days. OMT was developed by James Rambaugh.
Purpose of Object Modeling Technique:
To test physical entity before construction of them.
To make communication easier with the customers.
To present information in an alternative way i.e. visualization.
To reduce the complexity of software.
To solve the real world problems.
Object Modeling Technique’s Models:
There are three main types of models that has been proposed by OMT.
Object Model:
Object Model encompasses the principles of abstraction, encapsulation, modularity, hierarchy, typing, concurrency and persistence. Object Model basically emphasizes on the object and class. Main concepts related with Object Model are classes and their association with attributes. Predefined relationships in object model are aggregation and generalization (multiple inheritance).
Dynamic Model:
Dynamic Model involves states, events and state diagram (transition diagram) on the model. Main concepts related with Dynamic Model are states, transition between states and events to trigger the transitions. Predefined relationships in object model are aggregation (concurrency) and generalization.
Functional Model:
Functional Model focuses on the how data is flowing, where data is stored and different processes. Main concepts involved in Functional Model are data, data flow, data store, process and actors. Functional Model in OMT describes the whole processes and actions with the help of data flow diagram (DFD).
Phases of Object Modeling Technique:
OMT has the following phases:
Analysis:
This the first phase of the object modeling technique. This phase involves the preparation of precise and correct modelling of the real world problems. Analysis phase starts with setting a goal i.e. finding the problem statement. Problem statement is further divided into above discussed three models i.e. object, dynamic and functional model.
System Design:
This is the second phase of the object modeling technique and it comes after the analysis phase. It determines all system architecture, concurrent tasks and data storage. High level architecture of the system is designed during this phase.
FOR MORE INFORMATION CLICK ON THE LINK BELOW :
https://uii.io/programming
Object-oriented analysis and design (OOAD) is a popular approach for analyzing, designing, and developing applications using the object-oriented paradigm. It involves modeling a system as a group of interacting objects at various levels of abstraction. Key concepts in OOAD include objects, classes, attributes, methods, encapsulation, inheritance, polymorphism, and relationships like association, aggregation, and composition. Common OOAD techniques include use case diagrams, which show interactions between actors and the system, and class diagrams, which describe the structure and behavior of system objects and their relationships.
Handout on Object orienetd Analysis and DesignSAFAD ISMAIL
Object-oriented analysis and design (OOAD) is introduced as an approach to analyzing, designing, and developing applications through applying the object-oriented paradigm and visual modeling. Key concepts in OOAD include modeling systems as interacting objects, object-oriented analysis to understand concepts in the problem domain, and object-oriented design to define software objects representing analysis concepts. The document then discusses object basics, the object-oriented development life cycle, benefits of the object-oriented approach, and unified modeling language (UML) as a standard modeling notation for object-oriented systems development.
Ruby supports functional programming principles through features like blocks, lambdas, and immutable objects. Some advantages of a functional style include cleaner code with no side effects, referential transparency allowing parallelization and easier debugging, and the use of recursion instead of loops. While Ruby is an imperative language, applying concepts like map, filter, reduce, and avoiding mutable state can make code more clear and maintainable.
Design functional solutions in Java, a practical exampleMarian Wamsiedel
The document discusses different approaches to controlling vehicles remotely using vocal commands in Java, including:
1. An object-oriented approach modeling commands as classes and executing them sequentially.
2. A pure functional approach using immutable functions to model commands and folding them to execute sequentially without side effects.
3. A functional approach with effects, using Try monads to isolate exceptions and allow sequential execution while handling errors.
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It is a powerful tool that can help you with various tasks such as resizing, moving, copying, merging, splitting, converting, and recovering partitions.
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These release notes describe any known limitations, issues, and fixes included in this release. To learn about the new features and updated workflows, see What
Read on to learn about the new features and updated workflows you'll find in this release. For technical details including What's Fixed, please see the 3ds Max
TIDAL is the first global music streaming service with high fidelity sound, hi-def video quality, along with expertly curated playlists and original content .
This document discusses object-oriented programming concepts. It defines what objects are in programming as groupings of related data and functionality. Classes are introduced as blueprints that define objects, including their attributes and methods. Examples of classes like Vehicle and Star are provided to demonstrate how classes define objects. The key aspects of a class - name, attributes, constructor, and methods - are reviewed. Finally, example class diagrams are shown to visually represent classes and their relationships.
From Mess To Masterpiece - JFokus 2017Sven Ruppert
How a migration to MicroServices could change the team, architecture and coding culture. What you could you do and how you could transform a "Jurassic Park" into a lightweight environment. In this talk we will explore the strategy, techniques, pattern and tools I used to transform a team and the architecture that was grown over 15yrs. This will be a mix of pattern, tools and techniques that was able to migrate old systems, used inside insurance and banks. We had to migrate fat systems with a few million lines of code...
The document provides an overview of object-oriented programming (OOP) concepts and common OOP interview questions. It begins with basic questions about OOP terms and features. It then covers more advanced topics like classes, objects, encapsulation, polymorphism, inheritance, and abstraction. The document lists over 40 questions on OOP concepts and includes coding problems. It is intended to help prepare for OOP interviews.
This document contains an overview of object-oriented programming (OOP) concepts and common OOP interview questions. It begins with basic questions about OOP terms and features like classes, objects, encapsulation, inheritance and polymorphism. It then covers more advanced topics such as the differences between compile-time and runtime polymorphism, abstract classes, interfaces and access specifiers. The document provides examples in C++ and Java to illustrate various OOP concepts.
This document provides an overview of functional programming concepts using Ruby. It discusses some of the problems with object-oriented programming like side effects and sharing of data and code. It then presents some ways to adopt a more functional style in Ruby, such as treating loops and data structures as functions. The document also introduces the Functional Ruby gem which adds features inspired by languages like Erlang and Haskell, including pattern matching, immutability and memoization. Overall, the document aims to demonstrate how functional programming principles can be applied in Ruby.
Mikhail Bortnyk, a senior developer at the Amoniac company, tells how to forget the pain of side effects and start to write your Erlang in Ruby.The presentation has been prepared for the Ruby Meditation conference #12.
In laymen's term, this is a file system that realizes hot and cold data identification, moving cold data to secondary storage (dropbox here), retrieving cold data from secondary storage as an essential activity.
In this project we implemented this file system and handled all the general and specific cases to allow seamless transfer of data from hot to cold and cold to hot.
Introduction to Git/Github - A beginner's guideRohit Arora
Introduction to Git/Github - A beginner's guide
Agenda:
Installing Git
Introduction to Version Control
Git Basics
Creating a new local Git repository
Cloning a Git repository
Making use of Git commit history
Reverting files to previous states
Creating a Github Repository
Adding, Committing & Pushing changes
Branching
Merging Branches
Sending Pull Requests
Conflict Resolution
and 3 Exercises
This project was carried as a semester project requirement for CSC 522 Automated Learning & Data Mining.
The project focuses on predicting forest cover type in the 4 Wilderness Areas of Roosevelt National Park located at Colorado.
The data for the project was obtained from Kaggle (it is also hosted on UCI repository under the name "forest cover type").
We obtained incremental improvement with every new classification technique we tried and simultaneously our Kaggle ranking also went up.
The project aimed at developing Facility Booking System (FBS), an intranet based solution at NPL for reserving and tracking all the Facilities at NPL, by designing an algorithm for optimal utilization of resources. One of the major challenges for the project was to incorporate Google-Calendar like interface to view and select appointments. (This project/software was not part of any curriculum requirement).
The document describes an Advanced Traveler's Information System (ATIS) that finds the shortest path and estimated time for travel between locations in Delhi, India. It uses Dijkstra's algorithm to calculate the optimal route given time and road constraints. The system displays the route on a map, and allows the user to save, print, and view details about the path. It includes a basic web browser for navigation. Future improvements could integrate real-time traffic and transportation data to provide more dynamic routing options.
Ambient Intelligence is a concept of future environment near us, with ubiquitous means hidden computing around us without electronics being visible...the future the way you everybody wants: ).
Marketo & Dynamics can be Most Excellent to Each Other – The SequelBradBedford3
So you’ve built trust in your Marketo Engage-Dynamics integration—excellent. But now what?
This sequel picks up where our last adventure left off, offering a step-by-step guide to move from stable sync to strategic power moves. We’ll share real-world project examples that empower sales and marketing to work smarter and stay aligned.
If you’re ready to go beyond the basics and do truly most excellent stuff, this session is your guide.
Plooma is a writing platform to plan, write, and shape books your wayPlooma
Plooma is your all in one writing companion, designed to support authors at every twist and turn of the book creation journey. Whether you're sketching out your story's blueprint, breathing life into characters, or crafting chapters, Plooma provides a seamless space to organize all your ideas and materials without the overwhelm. Its intuitive interface makes building rich narratives and immersive worlds feel effortless.
Packed with powerful story and character organization tools, Plooma lets you track character development and manage world building details with ease. When it’s time to write, the distraction-free mode offers a clean, minimal environment to help you dive deep and write consistently. Plus, built-in editing tools catch grammar slips and style quirks in real-time, polishing your story so you don’t have to juggle multiple apps.
What really sets Plooma apart is its smart AI assistant - analyzing chapters for continuity, helping you generate character portraits, and flagging inconsistencies to keep your story tight and cohesive. This clever support saves you time and builds confidence, especially during those complex, detail packed projects.
Getting started is simple: outline your story’s structure and key characters with Plooma’s user-friendly planning tools, then write your chapters in the focused editor, using analytics to shape your words. Throughout your journey, Plooma’s AI offers helpful feedback and suggestions, guiding you toward a polished, well-crafted book ready to share with the world.
With Plooma by your side, you get a powerful toolkit that simplifies the creative process, boosts your productivity, and elevates your writing - making the path from idea to finished book smoother, more fun, and totally doable.
Get Started here: https://www.plooma.ink/
The Future of Open Source Reporting Best Alternatives to Jaspersoft.pdfVarsha Nayak
In recent years, organizations have increasingly sought robust open source alternative to Jasper Reports as the landscape of open-source reporting tools rapidly evolves. While Jaspersoft has been a longstanding choice for generating complex business intelligence and analytics reports, factors such as licensing changes and growing demands for flexibility have prompted many businesses to explore other options. Among the most notable alternatives to Jaspersoft, Helical Insight stands out for its powerful open-source architecture, intuitive analytics, and dynamic dashboard capabilities. Designed to be both flexible and budget-friendly, Helical Insight empowers users with advanced features—such as in-memory reporting, extensive data source integration, and customizable visualizations—making it an ideal solution for organizations seeking a modern, scalable reporting platform. This article explores the future of open-source reporting and highlights why Helical Insight and other emerging tools are redefining the standards for business intelligence solutions.
Generative Artificial Intelligence and its ApplicationsSandeepKS52
The exploration of generative AI begins with an overview of its fundamental concepts, highlighting how these technologies create new content and ideas by learning from existing data. Following this, the focus shifts to the processes involved in training and fine-tuning models, which are essential for enhancing their performance and ensuring they meet specific needs. Finally, the importance of responsible AI practices is emphasized, addressing ethical considerations and the impact of AI on society, which are crucial for developing systems that are not only effective but also beneficial and fair.
AI and Deep Learning with NVIDIA TechnologiesSandeepKS52
Artificial intelligence and deep learning are transforming various fields by enabling machines to learn from data and make decisions. Understanding how to prepare data effectively is crucial, as it lays the foundation for training models that can recognize patterns and improve over time. Once models are trained, the focus shifts to deployment, where these intelligent systems are integrated into real-world applications, allowing them to perform tasks and provide insights based on new information. This exploration of AI encompasses the entire process from initial concepts to practical implementation, highlighting the importance of each stage in creating effective and reliable AI solutions.
Code and No-Code Journeys: The Coverage OverlookApplitools
Explore practical ways to expand visual and functional UI coverage without deep coding or heavy maintenance in this session. Session recording and more info at applitools.com
Artificial Intelligence Applications Across IndustriesSandeepKS52
Artificial Intelligence is a rapidly growing field that influences many aspects of modern life, including transportation, healthcare, and finance. Understanding the basics of AI provides insight into how machines can learn and make decisions, which is essential for grasping its applications in various industries. In the automotive sector, AI enhances vehicle safety and efficiency through advanced technologies like self-driving systems and predictive maintenance. Similarly, in healthcare, AI plays a crucial role in diagnosing diseases and personalizing treatment plans, while in financial services, it helps in fraud detection and risk management. By exploring these themes, a clearer picture of AI's transformative impact on society emerges, highlighting both its potential benefits and challenges.
Meet You in the Middle: 1000x Performance for Parquet Queries on PB-Scale Dat...Alluxio, Inc.
Alluxio Webinar
June 10, 2025
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
David Zhu (Engineering Manager @ Alluxio)
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
Best Inbound Call Tracking Software for Small BusinessesTheTelephony
The best inbound call tracking software for small businesses offers features like call recording, real-time analytics, lead attribution, and CRM integration. It helps track marketing campaign performance, improve customer service, and manage leads efficiently. Look for solutions with user-friendly dashboards, customizable reporting, and scalable pricing plans tailored for small teams. Choosing the right tool can significantly enhance communication and boost overall business growth.
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In this session we cover the benefits of a migration to Cosmos DB, migration paths, common pain points and best practices. We share our firsthand experiences and customer stories. Adiom is the trusted partner for migration solutions that enable seamless online database migrations from MongoDB to Cosmos DB vCore, and DynamoDB to Cosmos DB for NoSQL.
NTRODUCTION TO SOFTWARE TESTING
• Definition:
• Software testing is the process of evaluating and
verifying that a software application or system meets
specified requirements and functions correctly.
• Purpose:
• Identify defects and bugs in the software.
• Ensure the software meets quality standards.
• Validate that the software performs as intended in
various scenarios.
• Importance:
• Reduces risks associated with software failures.
• Improves user satisfaction and trust in the product.
• Enhances the overall reliability and performance of
the software
In today's world, artificial intelligence (AI) is transforming the way we learn.
This talk will explore how we can use AI tools to enhance our learning experiences, by looking at some (recent) research that has been done on the matter.
But as we embrace these new technologies, we must also ask ourselves:
Are we becoming less capable of thinking for ourselves?
Do these tools make us smarter, or do they risk dulling our critical thinking skills?
This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.
Insurance policy management software transforms complex, manual insurance operations into streamlined, efficient digital workflows, enhancing productivity, accuracy, customer service, and profitability for insurers. Visit https://www.damcogroup.com/insurance/policy-management-software for more details!
FME for Climate Data: Turning Big Data into Actionable InsightsSafe Software
Regional and local governments aim to provide essential services for stormwater management systems. However, rapid urbanization and the increasing impacts of climate change are putting growing pressure on these governments to identify stormwater needs and develop effective plans. To address these challenges, GHD developed an FME solution to process over 20 years of rainfall data from rain gauges and USGS radar datasets. This solution extracts, organizes, and analyzes Next Generation Weather Radar (NEXRAD) big data, validates it with other data sources, and produces Intensity Duration Frequency (IDF) curves and future climate projections tailored to local needs. This presentation will showcase how FME can be leveraged to manage big data and prioritize infrastructure investments.
Have you upgraded your application from Qt 5 to Qt 6? If so, your QML modules might still be stuck in the old Qt 5 style—technically compatible, but far from optimal. Qt 6 introduces a modernized approach to QML modules that offers better integration with CMake, enhanced maintainability, and significant productivity gains.
In this webinar, we’ll walk you through the benefits of adopting Qt 6 style QML modules and show you how to make the transition. You'll learn how to leverage the new module system to reduce boilerplate, simplify builds, and modernize your application architecture. Whether you're planning a full migration or just exploring what's new, this session will help you get the most out of your move to Qt 6.
Agentic Techniques in Retrieval-Augmented Generation with Azure AI SearchMaxim Salnikov
Discover how Agentic Retrieval in Azure AI Search takes Retrieval-Augmented Generation (RAG) to the next level by intelligently breaking down complex queries, leveraging full conversation history, and executing parallel searches through a new LLM-powered query planner. This session introduces a cutting-edge approach that delivers significantly more accurate, relevant, and grounded answers—unlocking new capabilities for building smarter, more responsive generative AI applications.
Traditional Retrieval-Augmented Generation (RAG) pipelines work well for simple queries—but when users ask complex, multi-part questions or refer to previous conversation history, they often fall short. That’s where Agentic Retrieval comes in: a game-changing advancement in Azure AI Search that brings LLM-powered reasoning directly into the retrieval layer.
This session unveils how agentic techniques elevate your RAG-based applications by introducing intelligent query planning, subquery decomposition, parallel execution, and result merging—all orchestrated by a new Knowledge Agent. You’ll learn how this approach significantly boosts relevance, groundedness, and answer quality, especially for sophisticated enterprise use cases.
Key takeaways:
- Understand the evolution from keyword and vector search to agentic query orchestration
- See how full conversation context improves retrieval accuracy
- Explore measurable improvements in answer relevance and completeness (up to 40% gains!)
- Get hands-on guidance on integrating Agentic Retrieval with Azure AI Foundry and SDKs
- Discover how to build scalable, AI-first applications powered by this new paradigm
Whether you're building intelligent copilots, enterprise Q&A bots, or AI-driven search solutions, this session will equip you with the tools and patterns to push beyond traditional RAG.
4. What is OO Programming?
“Object-oriented programming (OOP) is a programming paradigm
based on the concept of objects which are data structures that
contain data, in the form of fields, often known as attributes; and
code, in the form of procedures, often known as methods.”
-Wikipedia
5. What is Functional Programming?
“In computer science, functional programming is a programming
paradigm, a style of building the structure and elements of computer
programs, that treats computation as the evaluation of mathematical
functions and avoids changing-state and mutable data.”
-Wikipedia
9. Design:Object Oriented using Ruby
Class Document
Main class which encapsulates markdown string. It carries out the
parsing
10. Design:Object Oriented using Ruby
Class Element
- Base class for other element classes.
- Every Html element is an instance of this class.
- BlockElement: li, ol
- InlineElement: strong, em
46. we think functional programming has higher
expressibility
Results & Discussion
47. Results & Discussion
we also think higher order functions make a lot
of sense in programming
48. Results & Discussion
we also think higher order functions make a lot
of sense in programming
also gives you a chance to put high school
mathematics into use
49. Part 1: Results & Discussion
a lot less time is spent in building and operating
on data structures
Results & Discussion
50. code for functional is very concise
in comparison to OOPS
Results & Discussion
51. however, we feel data encapsulation and abstraction
are easier to achieve in OOPS
Results & Discussion
52. refactoring code is easier, without telling the other
modules that don’t need to know
Results & Discussion
53. and at many instances, it was easier for us to think
in Object Oriented terms
OBJECT
Results & Discussion
55. some also claims that making GUI is easier in
OOPS but we have mixed opinion on that
Results & Discussion
56. So the question is which paradigm
is better?
Results & Discussion
57. So the question is which paradigm
is better?
FUNCTIONAL??
Results & Discussion
58. So the question is which paradigm
is better?
FUNCTIONAL??
(NO)
Results & Discussion
59. So the question is which paradigm
is better?
OOPS??
Results & Discussion
60. So the question is which paradigm
is better?
OOPS??
(NO)
Results & Discussion
61. Its like a fight between a bear and an alligator, the terrain
determines the outcome.
Results & Discussion
62. OOPS is generally better when there are fixed set of
OPERATIONS on things, and as code evolves new things are
added (e.g. new class)
Results & Discussion
63. Functional is generally good when there are fixed set of
THINGS, and as code evolves new operations are added to
existing things (e.g. avg func).
DATA
sum()
avg()
Results & Discussion
65. Every programming paradigm consists of certain principal
features that makes solving particular set of problems much
easier/optimal
Universal Programming paradigm is a myth
Hybrid approach may involve some trade off, and chances of
messing up may increase
Conclusions