Introduction to version control with Git. Slides made for the Linguaggi e Ambienti Multimediali course at Politecnico di Torino, academic year 2011/2012.
The document provides an overview of microservices architecture and how to build microservices on Azure. It begins with defining microservices and comparing them to monolithic applications. Key characteristics of microservices like independent deployability and small, focused teams are discussed. The document covers design considerations like service boundaries, data management, communication between services, API design, and logging/monitoring. Hosting options on Azure like Service Fabric and serverless Functions are presented. It concludes with noting references for further reading on microservices patterns and practices.
A version control system stores and manages every revision of files and code, allowing developers to collaborate, manage releases, and rollback to previous versions when bugs are found. Git is a widely used version control system developed by Linus Torvalds that offers benefits like backups, synchronization, undo functionality, tracking changes and ownership. It works by having a repository that stores files, which users can check out, edit, and check back in with a commit message.
Blockchain - Use Cases. Typical existing Blockchain Domain projects by Industries Presentation by Andrew Darley, Industry Sales Leader Europe IBM Cloud. Held at Watson Sweden Summit 2017.
Version control systems like Git allow users to manage data by systematically keeping previous versions. Git is a popular version control system that allows users to collaborate, keep track of history, and easily rollback changes. Key Git terminology includes repository, commit, branch, conflict, merge, and tag.
DeFi is decentralized finance that relies on blockchain technology rather than central financial institutions. It provides financial instruments like lending and exchanges through decentralized applications. Popular examples include MakerDAO, which has a stablecoin pegged to the US dollar, and Uniswap, which is an automated market-making exchange. Other innovations in DeFi include NFTs, which are unique digital assets representing items like art, and distributed autonomous organizations that allow protocols to be governed by token holders. While many current DeFi projects may not last, the core ideas of decentralization and blockchain technology underlying DeFi are likely to persist.
The document discusses different methods for deadlock management in distributed database systems. It describes deadlock prevention, avoidance, and detection and resolution. For deadlock prevention, transactions declare all resource needs upfront and the system reserves them to prevent cycles in the wait-for graph. Deadlock avoidance methods order resources or sites and require transactions to request locks in that order. Deadlock detection identifies cycles in the global wait-for graph using centralized, hierarchical, or distributed detection across sites. The system then chooses victim transactions to abort to break cycles.
The document describes the Google File System (GFS). GFS is a distributed file system that runs on top of commodity hardware. It addresses problems with scaling to very large datasets and files by splitting files into large chunks (64MB or 128MB) and replicating chunks across multiple machines. The key components of GFS are the master, which manages metadata and chunk placement, chunkservers, which store chunks, and clients, which access chunks. The master handles operations like namespace management, replica placement, garbage collection and stale replica detection to provide a fault-tolerant filesystem.
Do you know the basics of Git but wonder what all the hype is about? Do you want the ultimate control over your Git history? This tutorial will walk you through the basics of committing changes before diving into the more advanced and "dangerous" Git commands.
Git is an open source, distributed version control system used to track many different projects. You can use it to manage anything from a personal notes directory to a multi-programmer project.
This tutorial provides a short walk through of basic git commands and the Git philosophy to project management. Then we’ll dive into an exploration of the more advanced and “dangerous” Git commands. Watch as we rewrite our repository history, track bugs down to a specific commit, and untangle commits into an LKML-worthy patchset.
Parallel programming model, language and compiler in ACA.MITS Gwalior
This document discusses parallel programming models and their key aspects. It describes five common parallel programming models: shared-variable, message-passing, data parallel, object-oriented, and functional/logic. The main types of inter-process communication are shared variables and message passing. Synchronous and asynchronous message passing are introduced. The document also covers language features that enable parallel programming such as optimization, availability, synchronization/communication, control of parallelism, data parallelism, and process management.
Hello, kafka! (an introduction to apache kafka)Timothy Spann
Hello ApacheKafka
An Introduction to Apache Kafka with Timothy Spann and Carolyn Duby Cloudera Principal engineers.
We also demo Flink SQL, SMM, SSB, Schema Registry, Apache Kafka, Apache NiFi and Public Cloud - AWS.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services. It has essential characteristics like on-demand self-service, broad network access, resource pooling and rapid elasticity. The cloud services models include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The deployment models are private cloud, community cloud, public cloud and hybrid cloud.
This document provides an overview of concepts related to time and clock synchronization in distributed systems. It discusses the need to synchronize clocks across different computers to accurately timestamp events. Physical clocks drift over time so various clock synchronization algorithms like Cristian's algorithm and Berkeley algorithm are presented to synchronize clocks within a known bound. The Network Time Protocol (NTP) used on the internet to synchronize client clocks to UTC sources through a hierarchy of time servers is also summarized. Logical clocks provide an alternative to physical clock synchronization by assigning timestamps to events based on their order of occurrence.
Client-Centric Consistency
Provide guarantees about ordering of operations only for a single client, i.e.
Effects of an operations depend on the client performing it
Effects also depend on the history of client’s operations
Applied only when requested by the client
No guarantees concerning concurrent accesses by different clients
Assumption:
Clients can access different replicas, e.g. mobile users
The document discusses parallel databases and their architectures. It introduces parallel databases as systems that seek to improve performance through parallelizing operations like loading data, building indexes, and evaluating queries using multiple CPUs and disks. It describes three main architectures for parallel databases: shared memory, shared disk, and shared nothing. The shared nothing architecture provides linear scale-up and speed-up but is more difficult to program. The document also discusses measuring performance improvements from parallelization through speed-up and scale-up.
This document provides an overview of version control systems, including their benefits and basic functions. Version control systems allow recording changes to files over time, allowing users to recall specific file versions. They offer advantages like backup and restoration of files, synchronization across multiple computers, and facilitating collaboration on teams. The document defines common version control terms and best practices for users.
1. Distributed transaction managers ensure transactions have ACID properties through implementing the 2-phase commit protocol for reliability, 2-phase locking for concurrency control, and timeouts for deadlock detection on top of local transaction managers.
2. The 2-phase commit protocol guarantees subtransactions of the same transaction will all commit or abort despite failures, while 2-phase locking requires subtransactions acquire locks in a growing phase and release in a shrinking phase.
3. Timeouts are used to detect and abort transactions potentially experiencing a distributed deadlock.
Redis is an in-memory key-value store that is often used as a database, cache, and message broker. It supports various data structures like strings, hashes, lists, sets, and sorted sets. While data is stored in memory for fast access, Redis can also persist data to disk. It is widely used by companies like GitHub, Craigslist, and Engine Yard to power applications with high performance needs.
Optimistic concurrency control in Distributed Systemsmridul mishra
This document discusses optimistic concurrency control, which is a concurrency control method that assumes transactions can frequently complete without interfering with each other. It operates by allowing transactions to access data without locking and validating for conflicts before committing. The validation checks if other transactions have read or written the same data. If a conflict is found, the transaction rolls back and restarts. The document outlines the basic algorithm, phases of transactions (read, validation, write), and advantages like low read wait time and easy recovery from deadlocks and disadvantages like potential for starvation and wasted resources if long transactions abort.
The document discusses the Practical Byzantine Fault Tolerance (PBFT) algorithm. PBFT is a consensus algorithm that allows a distributed system to tolerate Byzantine faults. It replicates services across multiple servers and uses a three-phase protocol (pre-prepare, prepare, commit) to ensure replicas apply requests in the same order. PBFT can tolerate up to f faulty replicas as long as there are 2f+1 total replicas. The algorithm guarantees safety by ensuring all non-faulty replicas agree on a total order of requests, and liveness by allowing the system to make progress even if the primary replica fails.
A Distributed File System(DFS) is simply a classical model of a file system distributed across multiple machines.The purpose is to promote sharing of dispersed files.
This document discusses data replication in distributed database management systems. It covers the purposes of replication like availability, performance, and scalability. It also discusses consistency models for replicated data, including mutual consistency and transaction consistency. For update management strategies, it describes eager and lazy propagation as well as centralized and distributed techniques. Specific replication protocols are also outlined, such as single master, primary copy, eager centralized/distributed, and lazy centralized/distributed protocols.
A source code management system (SCM) provides coordination and services for software development teams. It provides file management and version control to prevent developers from overwriting each other's work. SCMs also allow developers to work concurrently through branches, merge changes, track requested changes and bugs, and manage releases.
The document discusses different client/server database architectures including file server, database server, and three-tier architectures. It describes how processing logic can be distributed between the client and various servers. Key advantages of the three-tier architecture include scalability, flexibility, improved performance, and balanced workloads. The document also covers database middleware, query processing in parallel environments, and using ODBC and JDBC to connect applications to external databases.
GTB Data Leakage Prevention Use Cases 2014Ravindran Vasu
The document describes several use cases that GTB's DLP Suite solution can address. It outlines requirements for each use case and how the GTB solution meets them. The use cases include monitoring data leakage outside networks, classifying and managing sensitive data, inspecting and taking action on email transmissions, automating encryption when sensitive data is emailed, controlling removable devices and auditing their use, and discovering sensitive data on network file shares and repositories. For each use case, the document explains the relevant capabilities of the GTB Inspector, Security Manager, Endpoint Protector, and eDiscovery tool.
Google File System is a distributed file system developed by Google to provide efficient and reliable access to large amounts of data across clusters of commodity hardware. It organizes clusters into clients that interface with the system, master servers that manage metadata, and chunkservers that store and serve file data replicated across multiple machines. Updates are replicated for fault tolerance, while the master and chunkservers work together for high performance streaming and random reads and writes of large files.
This document compares centralized version control systems like Subversion to distributed version control systems like Git. It discusses how version control systems track changes to files over time, allow checking files in and out for editing, and help resolve conflicts when multiple people edit the same files. Centralized systems store files on a central server, while distributed systems allow full copies of the code to be stored locally. The document outlines advantages of Git like speed, ability to work offline, and ease of creating branches compared to Subversion.
The document describes the Google File System (GFS). GFS is a distributed file system that runs on top of commodity hardware. It addresses problems with scaling to very large datasets and files by splitting files into large chunks (64MB or 128MB) and replicating chunks across multiple machines. The key components of GFS are the master, which manages metadata and chunk placement, chunkservers, which store chunks, and clients, which access chunks. The master handles operations like namespace management, replica placement, garbage collection and stale replica detection to provide a fault-tolerant filesystem.
Do you know the basics of Git but wonder what all the hype is about? Do you want the ultimate control over your Git history? This tutorial will walk you through the basics of committing changes before diving into the more advanced and "dangerous" Git commands.
Git is an open source, distributed version control system used to track many different projects. You can use it to manage anything from a personal notes directory to a multi-programmer project.
This tutorial provides a short walk through of basic git commands and the Git philosophy to project management. Then we’ll dive into an exploration of the more advanced and “dangerous” Git commands. Watch as we rewrite our repository history, track bugs down to a specific commit, and untangle commits into an LKML-worthy patchset.
Parallel programming model, language and compiler in ACA.MITS Gwalior
This document discusses parallel programming models and their key aspects. It describes five common parallel programming models: shared-variable, message-passing, data parallel, object-oriented, and functional/logic. The main types of inter-process communication are shared variables and message passing. Synchronous and asynchronous message passing are introduced. The document also covers language features that enable parallel programming such as optimization, availability, synchronization/communication, control of parallelism, data parallelism, and process management.
Hello, kafka! (an introduction to apache kafka)Timothy Spann
Hello ApacheKafka
An Introduction to Apache Kafka with Timothy Spann and Carolyn Duby Cloudera Principal engineers.
We also demo Flink SQL, SMM, SSB, Schema Registry, Apache Kafka, Apache NiFi and Public Cloud - AWS.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services. It has essential characteristics like on-demand self-service, broad network access, resource pooling and rapid elasticity. The cloud services models include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The deployment models are private cloud, community cloud, public cloud and hybrid cloud.
This document provides an overview of concepts related to time and clock synchronization in distributed systems. It discusses the need to synchronize clocks across different computers to accurately timestamp events. Physical clocks drift over time so various clock synchronization algorithms like Cristian's algorithm and Berkeley algorithm are presented to synchronize clocks within a known bound. The Network Time Protocol (NTP) used on the internet to synchronize client clocks to UTC sources through a hierarchy of time servers is also summarized. Logical clocks provide an alternative to physical clock synchronization by assigning timestamps to events based on their order of occurrence.
Client-Centric Consistency
Provide guarantees about ordering of operations only for a single client, i.e.
Effects of an operations depend on the client performing it
Effects also depend on the history of client’s operations
Applied only when requested by the client
No guarantees concerning concurrent accesses by different clients
Assumption:
Clients can access different replicas, e.g. mobile users
The document discusses parallel databases and their architectures. It introduces parallel databases as systems that seek to improve performance through parallelizing operations like loading data, building indexes, and evaluating queries using multiple CPUs and disks. It describes three main architectures for parallel databases: shared memory, shared disk, and shared nothing. The shared nothing architecture provides linear scale-up and speed-up but is more difficult to program. The document also discusses measuring performance improvements from parallelization through speed-up and scale-up.
This document provides an overview of version control systems, including their benefits and basic functions. Version control systems allow recording changes to files over time, allowing users to recall specific file versions. They offer advantages like backup and restoration of files, synchronization across multiple computers, and facilitating collaboration on teams. The document defines common version control terms and best practices for users.
1. Distributed transaction managers ensure transactions have ACID properties through implementing the 2-phase commit protocol for reliability, 2-phase locking for concurrency control, and timeouts for deadlock detection on top of local transaction managers.
2. The 2-phase commit protocol guarantees subtransactions of the same transaction will all commit or abort despite failures, while 2-phase locking requires subtransactions acquire locks in a growing phase and release in a shrinking phase.
3. Timeouts are used to detect and abort transactions potentially experiencing a distributed deadlock.
Redis is an in-memory key-value store that is often used as a database, cache, and message broker. It supports various data structures like strings, hashes, lists, sets, and sorted sets. While data is stored in memory for fast access, Redis can also persist data to disk. It is widely used by companies like GitHub, Craigslist, and Engine Yard to power applications with high performance needs.
Optimistic concurrency control in Distributed Systemsmridul mishra
This document discusses optimistic concurrency control, which is a concurrency control method that assumes transactions can frequently complete without interfering with each other. It operates by allowing transactions to access data without locking and validating for conflicts before committing. The validation checks if other transactions have read or written the same data. If a conflict is found, the transaction rolls back and restarts. The document outlines the basic algorithm, phases of transactions (read, validation, write), and advantages like low read wait time and easy recovery from deadlocks and disadvantages like potential for starvation and wasted resources if long transactions abort.
The document discusses the Practical Byzantine Fault Tolerance (PBFT) algorithm. PBFT is a consensus algorithm that allows a distributed system to tolerate Byzantine faults. It replicates services across multiple servers and uses a three-phase protocol (pre-prepare, prepare, commit) to ensure replicas apply requests in the same order. PBFT can tolerate up to f faulty replicas as long as there are 2f+1 total replicas. The algorithm guarantees safety by ensuring all non-faulty replicas agree on a total order of requests, and liveness by allowing the system to make progress even if the primary replica fails.
A Distributed File System(DFS) is simply a classical model of a file system distributed across multiple machines.The purpose is to promote sharing of dispersed files.
This document discusses data replication in distributed database management systems. It covers the purposes of replication like availability, performance, and scalability. It also discusses consistency models for replicated data, including mutual consistency and transaction consistency. For update management strategies, it describes eager and lazy propagation as well as centralized and distributed techniques. Specific replication protocols are also outlined, such as single master, primary copy, eager centralized/distributed, and lazy centralized/distributed protocols.
A source code management system (SCM) provides coordination and services for software development teams. It provides file management and version control to prevent developers from overwriting each other's work. SCMs also allow developers to work concurrently through branches, merge changes, track requested changes and bugs, and manage releases.
The document discusses different client/server database architectures including file server, database server, and three-tier architectures. It describes how processing logic can be distributed between the client and various servers. Key advantages of the three-tier architecture include scalability, flexibility, improved performance, and balanced workloads. The document also covers database middleware, query processing in parallel environments, and using ODBC and JDBC to connect applications to external databases.
GTB Data Leakage Prevention Use Cases 2014Ravindran Vasu
The document describes several use cases that GTB's DLP Suite solution can address. It outlines requirements for each use case and how the GTB solution meets them. The use cases include monitoring data leakage outside networks, classifying and managing sensitive data, inspecting and taking action on email transmissions, automating encryption when sensitive data is emailed, controlling removable devices and auditing their use, and discovering sensitive data on network file shares and repositories. For each use case, the document explains the relevant capabilities of the GTB Inspector, Security Manager, Endpoint Protector, and eDiscovery tool.
Google File System is a distributed file system developed by Google to provide efficient and reliable access to large amounts of data across clusters of commodity hardware. It organizes clusters into clients that interface with the system, master servers that manage metadata, and chunkservers that store and serve file data replicated across multiple machines. Updates are replicated for fault tolerance, while the master and chunkservers work together for high performance streaming and random reads and writes of large files.
This document compares centralized version control systems like Subversion to distributed version control systems like Git. It discusses how version control systems track changes to files over time, allow checking files in and out for editing, and help resolve conflicts when multiple people edit the same files. Centralized systems store files on a central server, while distributed systems allow full copies of the code to be stored locally. The document outlines advantages of Git like speed, ability to work offline, and ease of creating branches compared to Subversion.
CSE 390 Lecture 9 - Version Control with GITPouriaQashqai1
Version control systems like Git allow developers to track changes to files over time. Git stores snapshots of files in a local repository and remote repositories can be used for collaboration. The basic Git workflow involves modifying files, staging changed files, and committing snapshots of the staged files to the local repository. Status and diff commands allow viewing changes between the working directory, staging area, and repository. Good commit messages are important for documenting changes over time.
Version control, like Git, allows developers to track changes made to code and assets over time by saving revisions to a remote server or repository. This allows for easy collaboration, reverting mistakes, taking risks with new features, and preventing work from being lost due to hardware failures. The document recommends using a distributed version control system like Git for game development projects and outlines best practices for setting it up with Unity.
A survey of problems involved in building containers and build tools such as:
buildah
nixos-container
ansible-container
Smith
Distroless
Buildkit
Source to Image (s2i)
Habitat
The Ultimate IBM and Lotus on Linux Workshop for Windows AdminsBill Malchisky Jr.
Linux is quite simple to learn and understand when you have proper comprehension of the fundamentals. So let's teach attendees about the insights into administering a Linux server, allowing you to manage your IBM/Lotus applications with ease. You will receive highlights of the full training course Bill teaches his clients: application install tips, Linux shell techniques, basic scripting, and your questions answered throughout the class.
Given at Midwest LUG 2012 and UKLUG 2012
Linux Operating SystemMigration ProposalCMIT 391 - Section .docxwashingtonrosy
Linux Operating System
Migration Proposal
CMIT 391 - Section # 6380
Eqbal Danish
Benefits of Linux
Linux is "Open Source", which means that anybody can build their own, slightly different, versions of Linux using the same underlying programs. People gather together their own choices of these programs and offer them to the world.
Linux is a system that converts a powerful but mindless heap of silicon into something that an ordinary user can control, and which can run programs written to a common standard.
Linux can be made even more powerful when it's packaged with GUI's, other tools and utilities.
Different people can change this code to make the system better, and even sell it if they want.
If you are technical person who enjoys technology, you can’t beat the freedom it gives you. If you are not a technical person then, once set up, you will have a more stable, reliable and secure system.
The real benefit of Linux’s community approach to software, is that the community is made up of different individuals with different tastes, etc; many of whom are developers. This means that your own installing on your system can be incredibly personal and to your tastes.
The freedom of being open source is that you are completely 100% sure of what is running on your system. In terms of privacy that is pretty good. You know that there is nothing that is spying on you for advertising, marketing and other sinister companies.
2
Linux Derivative Recommendation
For an all-round rock-solid experience for general use, Debian is the best due to its universal nature.
It runs it 10 different architectures and comes with a huge (the biggest, actually) collection of pre-compiled software in its repositories, ready to install.
Based on what packages you install or remove, you can totally transform an already installed Debian to be most suited for any kind of work.
I recommend Debian simply because it can be the best choice no matter what you want to use it for.
It is also good for network servers, popular for personal computers, and has been used as a base for many other distributions.
Arch Linux is that your system is exactly what you make it - you decide exactly which packages you want. The end result of this is that your system is custom tailored to your computing experience and necessities. This also has the added advantage of being an extremely flexible distro.
With Arch Linux, you have unlimited choices for every aspect of your machine. If you are a proponent of Free Software, you can elect to only use free packages. If you don't want or need a full desktop environment, you can elect to use a minimalistic window manager.
3
Linux Graphical Interface
When it comes to a GUI on Linux, you have a number of options and most of the distros offer multiple GUI version built in.
So depending on your taste, you’re not spoiled for choice; making your question rather redundant.
X (also called X11) is responsible for GUI in Linux.
In a typical linux mach.
This document provides an overview and comparison of various source control systems, including Subversion (SVN), Git, Bazaar (Bzr), and Mercurial (Hg). It discusses features of centralized and distributed version control systems. Key centralized systems include SVN, while distributed systems include Git, Bzr, and Hg. The document compares aspects like creators, users, licenses, and documentation quality. It also covers concepts like local repositories, snapshots vs changesets, and branching in distributed version control. Hosted code solutions and social coding aspects are briefly outlined.
My "Perfect" Toolchain Setup for Grails ProjectsGR8Conf
Presentationslides from the GR8Conf presentation. Find the abstract here:
http://gr8conf.eu/Presentations/my-perfect-grails-toolchain
Installing Linux: Partitioning and File System ConsiderationsKevin OBrien
This document discusses considerations for installing Linux, including whether to do a single Linux install, dual boot with Windows, or multiple Linux installs. It provides examples of recommended partition sizes and file system types for different scenarios, such as allocating 50GB to / and the rest to /home for a single Linux install, or using FAT32 for a partition to share data between Linux and Windows on a dual boot system. The document emphasizes backing up data and having separate partitions for /var or /home if installing on a server.
Gentoo Linux, or Why in the World You Should Compile EverythingDonnie Berkholz
Gentoo Linux is a special flavor of Linux that can be automatically optimized and customized for just about any application or need. Extreme performance, configurability and a top-notch user and developer community are all hallmarks of the Gentoo experience.
As a leader of Gentoo, I will provide an overview of how it works from a developer's and a user's point of view, and why you should be running it especially if you're:
- In need of an awesome development environment;
- Interested in learning what's inside the black box of Linux;
- OCD about having a perfectly configured setup; or
- Building an embedded, minimal system or a high-performance cluster.
If there's interest, I can also talk about future developments on the horizon for Gentoo, package management in general, etc.
Organizing Your PHP Projects (2010 ConFoo)Paul Jones
By using a few simple organizational principles, developers can make their project structure predictable, extensible, and modular. These techniques make it easy to de-conflict and share code between multiple projects. They also make it easy to automate project-support tasks such as testing, documentation, and distribution. This talk will discuss these principles, how they can be discovered from researching publicly available PHP projects, and how they are used (or not used) in popular applications and frameworks.
Source Control with Domino Designer 8.5.3 and Git (DanNotes, November 28, 2012)Per Henrik Lausten
See my blog post about the presentation:
http://per.lausten.dk/blog/2012/11/source-control-with-domino-designer-8-5-3-and-git-my-talk-at-dannotes-november-2012.html
Conda is a cross-platform package manager that lets you quickly and easily build environments containing complicated software stacks. It was built to manage the NumPy stack in Python but can be used to manage any complex software dependencies.
Puppetmanaged.org is a collection of Puppet modules for deploying common services like Apache, MySQL, and more. Each module contains file declarations to set up the service and uses classes and definitions to make the modules easy to use. Users can contribute modules by storing them in git repositories and collaborating via mailing lists.
NWDUG's unconference talk about deployer which can be downloaded at https://deployer.org. This presentation goes into how to use deployer in Drupal 8. The talk also described how to make your own custom tasks.
my talk from highload++ 2013 -- talking about scaling compiled applications but from the point of view of scaling up from supporting 1 platform to supporting MANY platforms.
in other words: given an application that supports ubuntu 10.04, what sort of systems, tips, and tricks are needed to help scale support to other ubuntus, redhats, centos, windows, etc.
Log structured file systems buffer writes in memory and flush them sequentially to disk to improve write performance for small files. They maintain metadata structures like inode maps to allow efficient retrieval of scattered file data. Consistency is ensured through regular check-pointing of the metadata and recovery by replaying writes from the last check-point. While LFS improved small file performance, cleaning overhead and large file writes saw better performance on traditional file systems under some workloads. Journaling file systems take a hybrid approach.
This document provides an introduction to the Semantic Web and the technologies that enable it. It defines key concepts like resources, URIs, RDF, RDF Schema (RDFS), and the Web Ontology Language (OWL). It explains how these technologies allow data on the web to be represented and linked in a standardized, machine-readable way. Examples are provided to illustrate how RDF and OWL can be used to represent relationships between resources like books and authors. The document discusses how semantic technologies can help integrate and combine data from diverse sources on the web.
Build an application upon Semantic Web models. Brief overview of Apache Jena and OWL-API.
Semantic Web course
e-Lite group (https://elite.polito.it)
Politecnico di Torino, 2017
A guide and a process for creating OWL ontologies.
Semantic Web course
e-Lite group (https://elite.polito.it)
Politecnico di Torino, 2017
How to create a simple Telegram bot with Python 3.x.
Ambient Intelligence
http://bit.ly/polito-ami
Politecnico di Torino, 2017
Introduction to the Python programming language (version 3.x).
Ambient Intelligence
http://bit.ly/polito-ami
Politecnico di Torino, 2017
AngularJS is a JavaScript framework for building frontend web applications. It is inspired by Model-View-Controller (MVC) pattern and uses HTML templating with two-way data binding. Key features include DOM manipulation, validation, routing, and reusable components. The document provides an overview of AngularJS concepts like directives, data binding, controllers, modules, dependency injection, and built-in services. It also demonstrates how to create custom directives and use routing and resources services.
This document provides an introduction to Python programming concepts such as variables, data types, strings, lists, dictionaries, conditionals, loops, functions and modules. It covers Python basics like formatting, naming conventions and comments. Key concepts are explained through examples, such as how to define and modify variables and different data structures, perform string operations, take user input, and define reusable functions. The document is intended to teach Python fundamentals to new programmers.
The document provides an overview of ambient intelligence (AmI) and discusses related technology trends. It defines AmI as sensitive, intelligent, responsive, adaptive, ubiquitous and transparent systems that are able to sense and understand their environment in order to respond to the needs of people in an unobtrusive way. The document outlines some of the main research areas in AmI, including smart homes and notifications, and provides examples of university projects developing AmI technologies and applications.
Introduction to the Python programming language (version 2.x)
Ambient intelligence: technology and design
http://bit.ly/polito-ami
Politecnico di Torino, 2015
PowerOnt: an ontology-based approach for power consumption estimation in Smar...Luigi De Russis
Presentation given at the 1st Cognitive Internet of Things Technologies (COIOTE 2014)
October 27, 2014, Rome, Italy
The paper is available on the PORTO open access repositor of Politecnico di Torino: http://porto.polito.it/2570936/
Interacting with Smart Environments - Ph.D. Thesis PresentationLuigi De Russis
This thesis explores approaches to improve interaction between users and smart environments. It presents several contributions that address challenges in key interaction areas and provide tools and applications loosely coupled with underlying intelligent systems. The contributions are validated through user testing and publications, and address challenges like eye-based interaction, interaction with ubiquitous devices, visual programming for end-users, and incentivizing energy consumption behaviors. Future work is proposed in areas like on-body interaction and using existing sensing and actuating devices in environments.
Living in Smart Environments - 3rd year PhD ReportLuigi De Russis
Luigi De Russis' third year evaluation summarizes his work on several projects related to interfaces, interaction and usability in smart environments. These include Applus.energie and Applus.climatique systems for monitoring energy consumption in buildings; the dWatch wearable notification device; and the GrAAL project to assist healthcare workers through ambient assisted living technologies. He also contributed to the open source Dog gateway platform and conducted user studies on visualizing energy data and controlling smart home devices through gaze interaction.
Short seminar about the Semantic Web for the "Artificial Intelligence" course at Politecnico di Torino (academic year 2012/2013)
An updated version is available at http://www.slideshare.net/luigidr/semantic-web-an-introduction
An overview on social network technologies: are they "typical" website? Or do they work in a different way? How many and what technologies do Facebook and Instagram use?
Presentation made for the Multimedia Languages and Environments course at Politecnico di Torino (academic year 2013/2014).
A brief overview about writing clean code. Presentation made for the Multimedia Languages and Environments course at Politecnico di Torino (academic year 2012/2013).
The *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responThe *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responses*: Insects can exhibit complex behaviors, such as mating, foraging, and social interactions.
Characteristics
1. *Decentralized*: Insect nervous systems have some autonomy in different body parts.
2. *Specialized*: Different parts of the nervous system are specialized for specific functions.
3. *Efficient*: Insect nervous systems are highly efficient, allowing for rapid processing and response to stimuli.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive in diverse environments.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive
Understanding P–N Junction Semiconductors: A Beginner’s GuideGS Virdi
Dive into the fundamentals of P–N junctions, the heart of every diode and semiconductor device. In this concise presentation, Dr. G.S. Virdi (Former Chief Scientist, CSIR-CEERI Pilani) covers:
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Ideal for electronics students, hobbyists, and engineers seeking a clear, practical introduction to P–N junction semiconductors.
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As of Mid to April Ending, I am building a new Reiki-Yoga Series. No worries, they are free workshops. So far, I have 3 presentations so its a gradual process. If interested visit: https://www.slideshare.net/YogaPrincess
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Title: A Quick and Illustrated Guide to APA Style Referencing (7th Edition)
This visual and beginner-friendly guide simplifies the APA referencing style (7th edition) for academic writing. Designed especially for commerce students and research beginners, it includes:
✅ Real examples from original research papers
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✅ Key rules for in-text citation and reference list formatting
✅ Free citation tools like Mendeley & Zotero explained
Whether you're writing a college assignment, dissertation, or academic article, this guide will help you cite your sources correctly, confidently, and consistent.
Created by: Prof. Ishika Ghosh,
Faculty.
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How to manage Multiple Warehouses for multiple floors in odoo point of saleCeline George
The need for multiple warehouses and effective inventory management is crucial for companies aiming to optimize their operations, enhance customer satisfaction, and maintain a competitive edge.
How to Subscribe Newsletter From Odoo 18 WebsiteCeline George
Newsletter is a powerful tool that effectively manage the email marketing . It allows us to send professional looking HTML formatted emails. Under the Mailing Lists in Email Marketing we can find all the Newsletter.
*Metamorphosis* is a biological process where an animal undergoes a dramatic transformation from a juvenile or larval stage to a adult stage, often involving significant changes in form and structure. This process is commonly seen in insects, amphibians, and some other animals.
A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 795 from Texas, New Mexico, Oklahoma, and Kansas. 95 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schoolsdogden2
Algebra 1 is often described as a “gateway” class, a pivotal moment that can shape the rest of a student’s K–12 education. Early access is key: successfully completing Algebra 1 in middle school allows students to complete advanced math and science coursework in high school, which research shows lead to higher wages and lower rates of unemployment in adulthood.
Learn how The Atlanta Public Schools is using their data to create a more equitable enrollment in middle school Algebra classes.
2. How do you share and save data?
“I’m working solo… and I only have one
computer”
What I need:
- backup;
- different saved versions;
- early and frequently saving.
What I can use:
- external hard drives;
- dedicated folder;
- Dropbox folder;
- …
2
3. How do you share and save data?
“I’m working solo… and I only have one
computer”
What if…
- … I forget to save a specific version
and then I need it?
- … I delete/loose a previous version?
3
4. How do you share and save data?
“I’m working solo… and I have more than
one computer”
What I need:
- backup;
- different saved versions;
- early and frequently saving;
- conventions on file names.
What I can use:
- USB memory sticks;
- external hard drives;
- Dropbox folder;
- shared folder;
- …
4
5. How do you share and save data?
“I’m working solo… and I have more than
one computer”
What if…
- … I forget to save a specific version
and then I need it?
- … I delete/loose a previous version?
- … I have different projects in the
“shared” workspace?
- … I forget to copy one version
between computers?
5
6. How do you share and save data?
“I’m working in team”
What I need:
- backup;
- different saved versions;
- early and frequently saving;
- shared conventions on file names.
What I can use:
- USB memory sticks;
- external hard drives;
- Dropbox folder;
- e-mails;
- …
6
7. How do you share and save data?
“I’m working in team”
What if…
- … a team member forgets to save a
specific version and then someone
else needs it?
- … someone deletes/looses a version?
- … someone forgets to share a
specific version of the projects?
Other issues:
- who has the latest version?
- who has the right to edit?
- how to ensure that everyone
sees up-to-date versions of
everything?
- how to handle conflicts?
7
8. Version Control Systems
Record changes to a file or a set of files over time so that you can
recall specific versions later
Three generations:
1. Local (RCS, SCCS)
2. Centralized (CVS, Subversion, Team
Foundation Server)
NOW
3. Distributed (Git, Mercurial)
8
9. Basic Concepts
Repository
◦ place where you store all your
work
◦ contains every version of your work that has
ever existed
files
directories layout
history
◦ can be shared by the whole team
9
10. Basic Concepts
Working copy
◦ a snapshot of the repository used
for… working
◦ the place where changes happens
◦ private, not shared by the team
◦ it also contains some metadata so that it can
keep track of the state of things
has a file been modified?
is this file new?
has a file been deleted?
10
11. Basic Concepts
Commit
◦ the operation that
modifies the repository
◦ atomically performed by modern version
control tools
the integrity of the repository is assured
◦ it is typical to provide a log message (or
comment) when you commit
to explain the changes you have made
the message becomes part of the history of the
repository
11
12. Basic Concepts
Update
◦ update the working copy
with respect to the
repository
apply changes from the repository
merge such changes with the ones you have made
to your working copy, if necessary
12
13. Centralized Version Control
one central repository
client-server relationship
Linguaggi e Ambienti Multimediali A 13
14. Distributed Version Control
clients and server have the full copy of the repository
◦ local repositories clone a remote repository
possible to have more than one server
Linguaggi e Ambienti Multimediali A 14
15. More Basic Concepts
Push
◦ copy changesets from a
local repository instance
to a remote one
synchronization between two repository instances
15
16. More Basic Concepts
Pull
◦ copy changesets from a
remote repository
instance to a local one
synchronization between two repository instances
16
17. Git
Distributed Version Control System
Born
◦ on 2005 for the Linux kernel project
◦ to be used via command line
Website: http://git-scm.com
Highlights:
◦ free and open source
◦ strong support for non-linear development
◦ fully distributed
◦ efficient handling of large projects
◦ cryptographic authentication of history
17
19. Getting started with Git
Standard installations
◦ http://git-scm.com/download
On Windows, you can also use Git
Extensions
◦ http://code.google.com/p/gitextensions/
For this course, Git is
◦ included in RailsInstaller
◦ integrated in Aptana Studio 3
19
20. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Marco and Dave work for the same
company, but in two different countries.
They have to realize a new software
project, so they decided to make it in Ruby
and to use Git for version control.
20
21. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Marco starts the project by creating a new Git
repository on the central server.
He goes into the project directory and types:
git init --bare myproject.git
to initialize an empty git repository for the project.
21
22. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
When the central repository is ready, Dave
clones it on his computer:
git clone http://centralserver.com/myproject.git
22
23. Git by Example
git clone http://centralserver.com/myproject.git
creates a directory named myproject
initializes a .git directory inside it
pulls down all the data for that repository
checks out a working copy of the latest
version
If you want to clone the repository into a
directory with another name, you can specify
that as:
git clone http://centralserver.com/myproject.git projectOne
23
24. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Dave writes some code in the myproject folder.
Before committing, Dave needs to really put the
created file under version control, by adding the file
to the Staging area:
git add main.rb
24
25. The Staging area
STAGING AREA
A sort of loading dock
It can contain things that are neither in the
working copy nor in the repository instance
Also called “index”
25
26. The Staging area: an example
STAGING AREA
Imagine to modify an existing file in the
working copy
The file is marked as “modified”
26
27. The Staging area: an example
ADD
STAGING AREA
Before committing, the modified file needs to be
“staged”
◦ i.e., add a snapshot of it in the staging area
Modified data has been marked in its current
version to go into the next commit snapshot
27
28. The Staging area: an example
STAGING AREA
Then, changes can be “committed”
◦ i.e., take the file from the staging area and store
permanently the snapshot in the local repository
28
29. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
After adding main.rb to the Staging area, Dave
can commit the file to the local repository:
git commit -a -m “initial implementation”
29
30. Git by Example
git commit -a -m “initial implementation”
store the current snapshot in the local repository
-a
◦ also perform an add for modified files
◦ useless at this point
-m “put a message here”
◦ perform the commit with a log message
◦ useful to know what you have committed
If Dave wants permanently to exclude from version
control some files in the project folder, he can add
them in the .gitignore file
30
31. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Now Dave can push the data to the remote
repository:
git push origin master
where origin is the remote name and master is
the branch name
31
32. Git by Example
git push origin master
Git pushes only to matching branches
◦ for every branch that exists on the local side, the
remote side is updated if a branch of the same
name already exists there
◦ you have to push the branch explicitly the first
time
Alternative command:
◦ git push --all
After the first time, you can simply use:
◦ git push
32
33. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
After cloning the remote repository, Marco
can pull the data:
git pull
Now Marco has the code!
33
34. Pull and Fetch in Git
Fetch
◦ copy changesets from a
remote repository
FETCH
instance to a local one
◦ previously, we called it “pull”
Pull
◦ perform fetch
◦ update the working copy
34
35. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Marco wants to check the log to see the details:
git log
The result will be something like:
commit bcb39bee268a92a6d2930cc8a27ec3402ebecf0d
Author: Dave <[email protected]>
Date: Wed Mar 28 10:06:13 2012
initial implementation
35
36. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Marco wants to check the log to see the details:
git log
The result will be something like:
commit bcb39bee268a92a6d2930cc8a27ec3402ebecf0d
Author: Dave <[email protected]>
SHA-1 hash for data integrity
Date: Wed Mar 28 10:06:13 2012
initial implementation
36
37. Git by Example
At this point, Marco edits the source
code and saves
To see the pending changes, he can use:
◦ git status
To see the difference between his version
and the previous one, he can use:
◦ git diff (--cached, to include staged files)
Marco decides to commit and to push his
work
git commit -a -m “added new functionalites”
37
38. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Meanwhile, Dave has been found some bugs
in the code. After fixing them, he commits:
git commit -a -m “bug fixing”
38
39. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
Dave tries to push his changes
git push
but something goes wrong:
To http://centralserver.com/myproject
! [rejected] master -> master (non-fast-forward)
error: failed to push some refs to ‘http://centralserver.com/myproject’
39
40. Git by Example
What happens?
◦ Git is not allowing Dave to push his change
because Marco has already pushed something
to the master branch
Solution:
◦ Dave has to do a pull, to bring in changes
before pushing its modifications
Two possible scenarios:
◦ merging of files goes smoothly;
◦ merging of files generates conflicts.
40
41. Git by Example
Merge with conflicts
From http://centralserver.com/myproject
b19f36c..b77378f master -> origin/master
Auto-merging main.rb
CONFLICT (content): Merge conflict in main.rb
Automatic merge failed; fix conflicts and then commit the result.
Git includes both Marco’s code and
Dave’s code with conflict markers to
delimit things
<<<<<<< HEAD
# Marco’s code here
=======
# Dave’s code here
>>>>>>> b77378f6eb0af44468be36a085c3fe06a80e0322
41
42. Git by Example
SOMEWHERE IN THE USA
MARCO, ITALY DAVE, ENGLAND
After (manually) resolving these conflicts,
Dave can push the changes:
git push
42
43. Other useful commands
Operations on files
◦ Remove: git rm [filename]
◦ Move/rename: git mv [file-from] [file-to]
◦ Unstage some staged files: git reset HEAD [filename-list]
◦ Unmodify a modified file: git checkout -- [filename]
Operations on remotes
◦ List: git remote (-v, to show the URLs)
◦ Add: git remote add [shortname] [url]
◦ Inspect: git remote show [remote-name]
◦ Rename: git remote rename [old-name] [new-name]
◦ Remove: git remote rm [remote-name]
Change the last commit
◦ git commit --amend
43
44. Tags and Branches in a nutshell
Local and remote
Do not push automatically
[Image from http://nvie.com/posts/a-successful-git-branching-model/]
44
45. Tags and Branches in a nutshell
Tags
◦ useful to mark release points
◦ two types:
lightweight
annotated (more complete)
◦ commands:
git tag, shows the available existing tags
git tag [tag-name], creates a lightweight tag
git tag -a [tag-name] -m [message]‚ creates an
annotated tag
tag show [tag-name], shows the tag data
45
46. Tags and Branches in a nutshell
Branches
◦ used to develop features isolated from each other
◦ the master branch is the “default” branch when you
create a repository
◦ you should use other branches for development and
merge them back to the master branch upon
completion
◦ really lightweight in Git
◦ commands:
git branch [branch-name], create a new branch
git branch, lists all existing branches
git checkout [branch-name], switches to the selected branch
git branch -d [branch-name], removes the selected branch
46
47. Hosted Git
To have (at least) one remote repository
Alternative: to set up your Git server
Most popular:
◦ Github https://github.com/
◦ Bitbucket https://bitbucket.org/
◦ Sourceforge http://sourceforge.net/
◦ (Microsoft) Codeplex
http://www.codeplex.com/
◦ Google Code http://code.google.com/
47
48. Github
Slightly different than other code-hosting
sites
◦ instead of being primarily based on the
project, it is user-centric
◦ social coding
A commercial company
◦ charges for accounts that maintain private
repository
◦ free account to host as many open source
project as you want
48
49. Bitbucket
Similar to Github
Less famous than Github, right now
Mercurial support
A commercial company
◦ free private and public repositories for small
team (up to 5 private collaborators)
◦ charges for project involving bigger team
◦ free for academia (also for students)
unlimited public and private repositories
unlimited users for single projects
49
50. References
Git Reference
◦ http://gitref.org/
Git - the simple guide
◦ http://rogerdudler.github.com/git-guide/
Git User’s Manual
◦ http://schacon.github.com/git/user-manual.html
Pro Git (online book)
◦ http://progit.org/book/
Git Magic (online book)
◦ http://www-cs-students.stanford.edu/~blynn/gitmagic
Git Screencast
◦ http://gitcasts.com/
Version Control by Example (online book)
◦ http://www.ericsink.com/vcbe/
50
51. References
Learn Git one commit at time
◦ http://gitready.com/
The Git Parable
◦ http://tom.preston-werner.com/2009/05/19/the-git-
parable.html
Interactive Git Cheatsheet
◦ http://ndpsoftware.com/git-cheatsheet.html
A successful Git branching model
◦ http://nvie.com/posts/a-successful-git-branching-model/
Some Git (graphical) clients
◦ http://guides.beanstalkapp.com/version-
control/clients.html#git-clients
EGit, Eclipse plugin for Git
◦ http://www.eclipse.org/egit/
51
52. License
This work is licensed under the Creative Commons
“Attribution-NonCommercial-ShareAlike Unported (CC BY-
NC-SA 3,0)” License.
You are free:
◦ to Share - to copy, distribute and transmit the work
◦ to Remix - to adapt the work
Under the following conditions:
◦ Attribution - You must attribute the work in the manner
specified by the author or licensor (but not in any way that
suggests that they endorse you or your use of the work).
◦ Noncommercial - You may not use this work for commercial
purposes.
◦ Share Alike - If you alter, transform, or build upon this work,
you may distribute the resulting work only under the same or
similar license to this one.
To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc-sa/3.0/
52