This repository contains mind map of various web technologies concepts (not all but essential ones), organized into categories such as internet basics, web evolution, web development, and additional advanced topics. The mind map serves as an educational tool and a quick reference guide for students, developers, and professionals interested in understanding the landscape of web technologies.
- Watch the Youtube Video : https://youtu.be/LSzm-eh2KwA?si=ODs07JBRxdIAm8lJ
The purpose of this mind map is to provide a structured overview (knowledge graph) of web technologies, helping learners understand the hierarchies and relationships within the web ecosystem. Whether you are a beginner or an experienced web developer, this mind map offers valuable insights into the concepts, tools, standards, and practices that define modern web technologies.
You can view the detailed interactive mind map using the following link: Web Technologies Mind Map.
For users accessing the mind map on smartphones or mobile devices, we recommend using the MindMeister app for a better browsing experience. The app offers enhanced functionality and a smoother interface optimized for mobile usage.
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This will ensure that you can view and interact with the mind map seamlessly on the go.
- 1- Introduction to Web Technologies
- 2- Evolution of the Web
- 3- Web Development
- 4- Additional Topics
Each section of the mind map dives deeper into specific technologies and concepts, providing a comprehensive overview of the web technologies landscape.
- Explore the mind map to gain insights into different web technologies.
- Deepen your understanding by diving into the detailed concept definitions provided at the bottom. Visit the linked websites, explore additional resources, and take advantage of available training courses to expand your knowledge further.
- Contribute by suggesting updates or creating pull requests with additional resources or corrections.
- Share this resource with others who might find it useful.
Before exploring the intricacies of web technologies, development frameworks, and advanced computing concepts, it's essential to grasp the main pillars of computer science and its various disciplines. These fundamental concepts will provide you with the necessary foundation to understand the more complex topics. Below, we introduce two key sections: one covering top-level concepts and another focusing on the main disciplines within computer science.
This section covers high-level concepts that are fundamental to understanding the structure and development of computer science. Each concept plays a vital role in the computing ecosystem, from the design and interaction of systems to the paradigms and trends driving technological advancements.
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Agents: In computer science, an agent is an entity capable of autonomous action in an environment. Agents can be humans, software-based (e.g., chatbots, intelligent agents) or hardware-based (e.g., robots). They perform tasks such as decision-making, learning, and interacting with other agents or systems.
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Organizations: Organizations refer to structured groups that develop, manage, and implement technology solutions. They can be companies, governmental institutions, or non-profit entities. Technology-focused organizations include standards bodies like ISO, IEEE, and W3C, as well as corporations like Google and Microsoft.
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Humans: Humans are the end-users and creators of technology. Human-Computer Interaction (HCI) focuses on designing systems that are accessible, user-friendly, and effective for human use.
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Machines: Machines refer to computing devices, including servers, personal computers, mobile and networking devices, and IoT devices, that process data, execute instructions, and perform automated tasks.
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Data: Data is information that is processed, stored, and transmitted by computing systems. It can be structured (e.g., databases), semi-structured (e.g., XML, Json, RDF) or unstructured (e.g., multimedia content), and is the core of all digital systems.
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Algorithms: Algorithms are sets of instructions or rules designed to perform specific tasks or solve problems efficiently. They are the foundation of programming and automation in computing.
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Languages: Programming languages are formal languages used to instruct machines on how to perform tasks. Popular languages include Python, PHP, C++, and JavaScript.
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Interfaces: Interfaces are the points of interaction between users and systems or between different systems themselves. This includes languages, graphical user interfaces (GUIs) and application programming interfaces (APIs).
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Software: Software consists of programs and operating systems that direct hardware to perform specific tasks. Software is categorized into system software (e.g., operating systems) and application software (e.g., word processors).
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Frameworks: Frameworks are collections of pre-written code that provide a foundation for building applications. They streamline development by offering reusable components and patterns, such as Odoo, Django, and Flask.
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Paradigms: Paradigms are philosophical approaches or models of programming and system design, such as Object-Oriented Programming (OOP), Functional Programming, and Agile Methodology.
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Trends: Trends represent emerging technologies and methodologies in the tech industry. Examples include Knowledge Graphs, AI/ML, edge computing, serverless architectures, and blockchain.
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Disciplines: Disciplines are specialized fields of study within computer science and engineering that guide research and development in specific areas, such as AI, cybersecurity, and networking.
The following section delves into the primary disciplines of computer science. Each discipline focuses on a specific area of computing, contributing to the development of technology that powers our digital world.
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Computer Architecture: The design and organization of computer systems, including processors, memory, and input/output devices, ensuring efficient execution of instructions.
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Algorithmic: The study and development of algorithms, which are central to solving computational problems and optimizing performance in programming and systems.
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Operating Systems: The management of hardware and software resources on a computer. Operating systems control the execution of applications, manage memory, and provide essential services.
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Networking: The field focused on the design, implementation, and management of communication between computers and devices over networks, including the internet.
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Programming: The discipline of writing code to create software applications and systems using programming languages such as Python, Java, and C++.
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Databases: The study and management of databases, including the design, optimization, and querying of systems that store and organize large amounts of data.
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Information Systems: The integration of information technology and business processes to manage and use data effectively in organizations for decision-making and operations.
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Software Engineering: The discipline focused on the systematic design, development, testing, and maintenance of software systems. It applies engineering principles to ensure software reliability, scalability, and maintainability throughout the software development life cycle (SDLC).
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Artificial Intelligence: The branch of computer science focused on creating systems that mimic human intelligence, including machine learning, natural language processing, and robotics.
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Cyber Security: The practice of protecting computers, networks, and data from cyber threats, including unauthorized access, attacks, and data breaches.
By understanding these core concepts and disciplines, you will have the foundational knowledge needed to navigate the deeper, more detailed aspects of web technologies and modern computing practices.
This section provides a detailed breakdown of the Web Technologies MindMap, offering brief descriptions of each concept relevant to modern web technologies. You'll find essential information on emerging technologies, advanced web technologies, and industry standards and practices. Each concept is accompanied by links to official websites, detailed Wikipedia articles, and, where available, links to training courses. This guide serves as a concise yet comprehensive reference for exploring the critical technologies and practices that are shaping the modern web landscape.
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Networking
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Devices
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PC/Mobile: Personal computers (PCs) and mobile devices (smartphones and tablets) are end-user devices used to access the internet and run applications. PCs typically offer more processing power and flexibility, while mobile devices provide portability and convenience.
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Server: A server is a computer or system that provides resources, data, services, or programs to other computers, known as clients, over a network. Servers are essential for hosting websites, applications, databases, and other online services.
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Switch: A network switch is a device that connects devices within a network by using packet switching to receive, process, and forward data to the destination device. Switches operate at the data link layer (Layer 2) of the OSI model.
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Router: A router is a networking device that forwards data packets between computer networks, typically connected to at least two networks (e.g., LAN and WAN). Routers determine the best path for data to travel from source to destination.
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Protocols:
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TCP/IP: The foundational communication protocols of the internet, responsible for routing and ensuring data integrity across networks.
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DNS: The Domain Name System (DNS) translates human-friendly domain names into IP addresses required for locating and identifying computer services and devices.
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HTTP/HTTPS: Hypertext Transfer Protocol (HTTP) is the foundation of data communication on the World Wide Web, while HTTPS is the secure version using encryption.
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Data Encoding:
- Unicode: A standard for consistent encoding, representation, and handling of text expressed in most of the world's writing systems.
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UTF-8: UTF-8 (Unicode Transformation Format - 8-bit) is a variable-width character encoding used for electronic communication. It can encode all possible characters (code points) in Unicode using one to four bytes. UTF-8 is backward-compatible with ASCII and is widely used on the web for text representation due to its efficiency in encoding common characters and its compatibility across different systems.
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UTF-16: UTF-16 (Unicode Transformation Format - 16-bit) is another character encoding used to encode Unicode characters. It uses either one or two 16-bit code units to encode characters. While UTF-16 is more efficient for encoding characters beyond the Basic Multilingual Plane (BMP), it is less commonly used than UTF-8 for web content.
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- Unicode: A standard for consistent encoding, representation, and handling of text expressed in most of the world's writing systems.
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Data Acces:
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URI/URL: Uniform Resource Identifier (URI) and Uniform Resource Locator (URL) are standardized methods to identify and locate resources on the web.
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IRI (Internationalized Resource Identifier): IRI is an extension of the Uniform Resource Identifier (URI) that allows for the inclusion of non-ASCII characters. IRIs enable the use of characters from multiple languages and scripts, such as accented letters, Chinese, Arabic, or Cyrillic, within web addresses. This provides a more inclusive and globally accessible format for resource identification on the internet. IRIs can be converted to URIs for backward compatibility with systems that only support ASCII characters.
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Data Exchange Formats:
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XML: Extensible Markup Language (XML) is a flexible way to create common information formats and share data across the internet.
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XPath (XML Path Language): XPath is a query language for selecting nodes from an XML document. It provides a way to navigate through elements and attributes in an XML document using a path-like syntax. XPath is widely used in conjunction with XSLT, XQuery, and other XML technologies to retrieve specific parts of XML data.
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JSON: JavaScript Object Notation (JSON) is a lightweight data-interchange format that is easy for humans to read and write, and easy for machines to parse and generate.
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CSV (Comma-Separated Values): CSV is a simple file format used to store tabular data, such as a spreadsheet or database. Each line in a CSV file corresponds to a record, and each field in the record is separated by a comma. CSV files are commonly used for data exchange between different systems and applications due to their simplicity and wide support.
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W3C Consortium (World Wide Web Consortium): The World Wide Web Consortium (W3C) has central Role in Standardizing Web Technologiesis. W3C is an international community that develops open standards to ensure the long-term growth of the web. W3C is responsible for creating and maintaining many of the key standards used to build websites, including HTML, CSS, and XML, ensuring the interoperability and accessibility of web technologies.
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Unicode, Inc. (Unicode Consortium): Unicode, Inc., commonly known as the Unicode Consortium, is a non-profit organization that develops and maintains the Unicode Standard, a universal character encoding scheme for text representation across different platforms and devices. This standard is essential for enabling consistent text data interchange across the internet and other platforms.
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ISO (International Organization for Standardization): ISO is an independent, non-governmental international organization that develops and publishes a wide range of standards across various industries. These standards ensure quality, safety, efficiency, and interoperability for products, systems, and services. ISO standards are crucial in areas like technology, web development, and data management.
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IEEE (Institute of Electrical and Electronics Engineers): IEEE is the world's largest technical professional organization focused on advancing technology. It is widely recognized for creating standards in a variety of areas such as computing, networking, and electronics. IEEE standards help ensure interoperability, innovation, and quality across numerous technologies.
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Static Web Pages: Early web pages that were simple, static, and delivered via HTML, without any dynamic features or interactivity.
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Basic HTML: The foundational markup language used for creating static web pages during the early days of the internet.
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E-mail: An electronic mail system that became one of the first uses of the Internet. It allows users to send and receive messages and files electronically over a network.
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Search Engines: Search engines are software systems designed to carry out web searches, allowing users to find information on the World Wide Web. They work by crawling, indexing, and ranking web pages based on relevant queries. Popular search engines include Google, Bing, and Yahoo.
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Dynamic and Interactive Web: Web 2.0 introduced user interaction and dynamic content, moving beyond static pages to more engaging websites.
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Social Media Integration: The era when social media platforms became central to online interaction, integrating with various web services and sites.
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Blockchain and Decentralization: The concept of distributing data across multiple nodes or networks to enhance security and reduce centralization, often associated with blockchain technology.
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Linked Data: A method of publishing structured data so that it can be interlinked and become more useful through semantic queries.
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RDF/ RDFS: Resource Description Framework (RDF) and RDF Schema (RDFS) are standards for describing resources on the web in a machine-readable way.
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OWL: Web Ontology Language (OWL) is used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms.
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SPARQL: A query language for databases, able to retrieve and manipulate data stored in RDF format.
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SWRL/RIF: The Semantic Web Rule Language (SWRL) and Rule Interchange Format (RIF) are standards for expressing rules on the Web. SWRL allows users to write rules that can be applied to OWL ontologies, while RIF facilitates the interchange of rules among different systems.
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Knowledge Graphs: A knowledge graph represents a network of real-world entities and illustrates the relationship between them.
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AI (Artificial Intelligence): AI refers to the simulation of human intelligence by machines, allowing them to perform tasks such as learning, reasoning, problem-solving, and decision-making. AI is increasingly integrated into web technologies to power smarter applications and services.
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Symbolic AI: Symbolic AI uses explicit, human-readable rules and logic to perform reasoning tasks. It relies on symbolic representations of knowledge and logical inference to simulate intelligent behavior, commonly seen in expert systems.
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Statistical AI: Statistical AI focuses on data-driven approaches, using statistics and probability to model uncertainty and make predictions. Machine learning is a key component of statistical AI, relying on algorithms that improve with experience and data.
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Supervised/Unsupervised Learning: Supervised learning involves training a machine learning model on labeled data, where the algorithm learns to map inputs to outputs. Unsupervised learning, on the other hand, involves discovering patterns in data without explicit labels, often used for clustering or anomaly detection.
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Wikipedia - Unsupervised Learning
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Machine Learning (ML): Machine learning is a subset of AI that involves training models to recognize patterns in data and make predictions or decisions based on that data. It enables systems to learn from experience and improve over time without being explicitly programmed.
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Deep Learning: Deep learning is a subset of machine learning that uses neural networks with many layers (hence "deep") to model complex patterns in data. Deep learning is particularly effective for tasks such as image recognition, speech processing, and natural language understanding.
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NLP (Natural Language Processing), NLU (Natural Language Understanding), and NLG (Natural Language Generation):
- NLP: NLP is the field of AI focused on the interaction between computers and humans through natural language. It involves processing and analyzing large amounts of natural language data.
- NLU: NLU is a subfield of NLP that focuses on the machine's ability to understand and interpret the meaning behind natural language inputs.
- NLG: NLG refers to the ability of AI systems to generate coherent and contextually appropriate natural language outputs based on data and inputs.
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Autonomous Systems: Autonomous systems are machines or software that can perform tasks independently without human intervention, using AI and machine learning to make real-time decisions. Examples include robots, self-driving cars and automated customer service systems.
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IoT/IoE Integration (Internet of Things/Internet of Everything): IoT refers to the network of physical objects embedded with sensors, software, and connectivity that allows them to collect and exchange data. IoE expands this concept to include people, processes, and data as well. These technologies are integrated into web applications to enhance automation, data-driven insights, and interconnectivity between smart devices.
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HTML/CSS:
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HTML5: The latest version of HTML, providing new elements, attributes, and behaviors.
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CSS3: The latest evolution of the Cascading Style Sheets language, providing new features for layout, animation, and more.
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SCSS (Sassy CSS): SCSS is a syntax of SASS (Syntactically Awesome Style Sheets), a CSS preprocessor that extends the capabilities of CSS. It allows developers to use variables, nested rules, mixins, and functions, making CSS more maintainable, reusable, and easier to write. SCSS is fully compatible with the original CSS syntax, making it a more powerful way to organize and streamline stylesheets in web development projects.
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Bootstrap: Bootstrap is a popular open-source front-end framework used for developing responsive and mobile-first websites. It provides a collection of HTML, CSS, and JavaScript components that simplify the development of web pages with a consistent layout and design. Bootstrap includes pre-designed components like navigation bars, buttons, forms, and grids, which allow developers to quickly build visually appealing and functional interfaces across different device sizes.
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JavaScript:
- ES6+ features: ECMAScript 6 (ES6) and later editions brought significant improvements to JavaScript, including new syntax and features.
- DOM Manipulation: The ability to interact with and update the Document Object Model (DOM) of a web page using JavaScript.
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Frameworks and Libraries:
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jQuery: A fast, small, and feature-rich JavaScript library that simplifies HTML DOM tree traversal and manipulation.
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React.js: A JavaScript library for building user interfaces, maintained by Facebook and a community of developers.
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Angular.js: A structural framework for dynamic web apps, developed by Google.
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Vue.js: Vue.js is a progressive JavaScript framework used for building user interfaces and single-page applications. It is designed to be incrementally adoptable, meaning you can start with as little or as much of Vue as you like and scale up from there. Vue.js is known for its simplicity, flexibility, and ease of integration with other libraries or existing projects.
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Browsers: Web browsers are software applications used to access, retrieve, and display content from the World Wide Web. Browsers interpret HTML, CSS, and JavaScript to render web pages and provide a user interface for interacting with online content. Popular browsers include Google Chrome, Mozilla Firefox, Microsoft Edge, and Safari.
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Developer Mode: Developer Mode, or Developer Tools, is a set of tools provided by web browsers that allow developers to inspect and debug web applications directly in the browser. Developer Mode includes features like the Elements panel for inspecting HTML and CSS, the Console for running JavaScript, and the Network panel for analyzing HTTP requests.
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Client-Side: Client-side refers to operations that are performed by the client, which in most cases is the user's web browser. Client-side technologies include HTML, CSS, and JavaScript, which are executed on the user's device rather than on the server. This approach allows for dynamic user interfaces and interactive web experiences.
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Server-Side Programming:
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OOP (Object-Oriented Programming): OOP is a programming paradigm based on the concept of "objects," which are instances of classes. Objects can contain data in the form of fields (attributes or properties) and code in the form of methods (functions). OOP emphasizes principles such as encapsulation, inheritance, polymorphism, and abstraction, allowing for the creation of reusable and modular code. This paradigm is widely used in languages like Java, C++, Python, and JavaScript for building scalable and maintainable applications.
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Python/PHP:
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Python: A versatile, high-level programming language widely used for web development, among other applications.
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PHP: A popular server-side scripting language designed for web development but also used as a general-purpose programming language.
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Node.js: A JavaScript runtime built on Chrome's V8 engine, designed for building scalable network applications.
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Databases:
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SQL: Structured Query Language (SQL) is a standardized language for managing and manipulating relational databases.
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NoSQL: A class of database management systems that do not follow all the rules of a relational database; it is often used for large-scale data storage.
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Graph Databases: A graph database is a type of NoSQL database that uses graph structures with nodes, edges, and properties to represent and store data. It is optimized for handling data with complex relationships and is particularly useful in applications like social networks, recommendation engines, and fraud detection. Nodes represent entities, while edges represent the relationships between those entities, making querying and navigating complex interconnected data efficient.
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Vector Databases: Vector databases are specialized databases designed to store, index, and query high-dimensional vectors. These databases are crucial for machine learning applications, particularly for similarity search, where the goal is to find vectors that are most similar to a given query vector. Vector databases are used in contexts such as recommendation systems, natural language processing, and computer vision.
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Big Data: Refers to extremely large data sets that require advanced tools and techniques to process and analyze. It is characterized by its volume, variety (types of data), velocity (speed of processing), and veracity (data accuracy). Big Data is used to uncover insights and patterns in fields like finance, healthcare, and social media.
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Web Frameworks:
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Flask: A lightweight WSGI web application framework in Python. It is designed to make getting started quick and easy, with the ability to scale up to complex applications.
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Django: A high-level Python web framework that encourages rapid development and clean, pragmatic design.
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Web Services and APIs:
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WebSockets: A protocol that provides full-duplex communication channels over a single TCP connection, primarily used for real-time applications.
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RESTful APIs: Representational State Transfer (REST) is an architectural style for designing networked applications, allowing communication between client and server.
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Odoo Framework: An open-source suite of business applications, including CRM, e-commerce, billing, accounting, manufacturing, warehouse, project management, and inventory management.
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ERP Systems: Enterprise Resource Planning (ERP) systems are integrated management systems that allow organizations to manage business processes in a centralized system.
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MVC: Model-View-Controller (MVC) is a design pattern used for developing web applications. It divides an application into three interconnected components.
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ORM (Object-Relational Mapping): ORM is a programming technique that allows developers to interact with a relational database using the object-oriented paradigm. In ORM, objects in a programming language are mapped to database tables, and relationships between objects are managed through associations in the code rather than direct SQL queries. ORMs help simplify database interactions, improve code maintainability, and provide abstraction from the underlying database structure. Popular ORM frameworks include Hibernate for Java, Django ORM for Python, and Sequelize for Node.js.
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OWL (Object Web Language): Not to be confused with the Web Ontology Language (OWL), the OWL framework is part of Odoo's architecture used for web client development.
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Templating Engines:
- QWeb: A template engine in Odoo used to generate XML/HTML from model data. It allows for the creation of dynamic content in Odoo applications, supporting the rendering of reports, views, and other templates.
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IDEs (Integrated Development Environments):
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VS Code: Visual Studio Code (VS Code) is a free, open-source code editor developed by Microsoft. It offers support for debugging, embedded Git control, syntax highlighting, intelligent code completion, snippets, and code refactoring.
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PyCharm: PyCharm is a dedicated Python IDE developed by JetBrains. It provides essential tools for productive Python development, including code analysis, a graphical debugger, an integrated unit tester, and integration with version control systems.
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XSS (Cross-Site Scripting): A security vulnerability that allows an attacker to inject malicious scripts into web pages viewed by other users.
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SQL Injection: A code injection technique that exploits vulnerabilities in a website's software, enabling an attacker to interfere with the queries an application makes to its database.
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CSRF (Cross-Site Request Forgery): A type of malicious exploit where unauthorized commands are transmitted from a user that the web application trusts.
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Threats: Refer to the various vulnerabilities and attacks that can compromise the security of web applications, systems, and user data. These threats can exploit weaknesses in software, hardware, or human behavior, leading to unauthorized access, data breaches, or service disruptions. Some common web security threats include:
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XSS (Cross-Site Scripting): An attack where malicious scripts are injected into trusted websites, enabling attackers to steal user data or hijack user sessions.
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SQL Injection: A code injection technique that exploits vulnerabilities in web applications by inserting malicious SQL queries, allowing attackers to access, modify, or delete database data.
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CSRF (Cross-Site Request Forgery): A type of attack where a malicious website tricks a user's browser into performing actions on another site without their consent, leading to unauthorized transactions or data changes.
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DDoS (Distributed Denial of Service): An attack that overwhelms a website or server with a flood of internet traffic from multiple sources, making it unavailable to legitimate users.
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Phishing: A type of social engineering attack where attackers disguise themselves as trustworthy entities to steal sensitive information like usernames, passwords, or credit card details.
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Git: A distributed version-control system for tracking changes in source code during software development.
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GitHub: A code hosting platform for version control and collaboration, allowing developers to manage and store their code using Git.
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Virtualization: Virtualization is the process of creating virtual instances of physical resources, such as servers, storage, or networks. By using software like hypervisors, multiple virtual machines (VMs) can run on a single physical machine, optimizing resource use and providing flexibility in cloud environments. Virtualization is a key technology in cloud computing, enabling efficient allocation of computing resources and isolation of environments for security and scalability.
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Cloud Computing: Cloud computing delivers computing services—such as servers, storage, databases, and software—over the internet. It offers flexibility, scalability, and cost-efficiency, eliminating the need for on-premise infrastructure. Main service models include:
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IaaS (Infrastructure as a Service): Virtualized computing resources like servers and storage (e.g., AWS EC2, Azure).
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PaaS (Platform as a Service): Platforms for developing and running applications without managing infrastructure (e.g., Google App Engine, Heroku).
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SaaS (Software as a Service): Software delivered via the internet, usually on a subscription basis (e.g., Google Workspace, Salesforce). Cloud computing is essential for modern web development, offering resources on demand.
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Heroku: A cloud platform as a service (PaaS) supporting several programming languages, used for deploying, managing, and scaling applications.
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AWS: Amazon Web Services (AWS) offers a suite of cloud computing services that make up an on-demand computing platform.
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GCP: Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. It provides a range of services for computing, storage, data analytics, machine learning, and application development, all running on the same infrastructure that Google uses internally for its products like Google Search and YouTube. GCP enables businesses to build, deploy, and scale applications efficiently on a global network.
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SEO: Search Engine Optimization are set of practices for increasing the quantity and quality of traffic to your website through organic search engine results.
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Caching: The process of storing copies of files in a cache, or temporary storage location, so they can be accessed more quickly.
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Minification: The process of removing unnecessary characters from code to reduce its size, improving load times and performance.
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WebAssembly: WebAssembly (Wasm) is a binary instruction format for a stack-based virtual machine, enabling high-performance applications on web pages. It is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.
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GraphQL: GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. It provides a more efficient, powerful, and flexible alternative to REST.
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Hydration: Hydration is a technique used in web development, particularly in Single Page Applications (SPAs), where server-rendered HTML is enhanced with client-side JavaScript. This allows the page to become interactive by "hydrating" static content with dynamic behavior without requiring a full page reload.
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SPAs (Single Page Applications): SPAs are web applications that load a single HTML page and dynamically update content as the user interacts with the app. This provides a seamless user experience by eliminating the need for full page reloads. Examples of SPAs include Gmail and Google Maps.
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JAMStack: JAMStack (JavaScript, APIs, and Markup) is a modern web development architecture that decouples the front-end from the back-end. It involves building fast, secure web apps with pre-rendered static files served over a CDN, while APIs handle dynamic functionality. JAMStack enhances performance and scalability.
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Web Components: Web Components are a set of web platform APIs that allow you to create new, reusable, encapsulated HTML tags to use in web pages and web apps.
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Progressive Web Apps (PWAs): Progressive Web Apps are web applications that have been enhanced with modern web technologies to deliver an app-like experience to users. They can work offline, send push notifications, and be installed on a device's home screen.
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Serverless Architecture: Serverless architecture is a cloud computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources.
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Kubernetes: Kubernetes is an open-source container-orchestration system for automating software deployment, scaling, and management.
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Docker: Docker is a set of platform-as-a-service products that use OS-level virtualization to deliver software in packages called containers.
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Agile: Agile is a set of principles for software development under which requirements and solutions evolve through the collaborative effort of self-organizing and cross-functional teams.
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Scrum: Scrum is an Agile framework for managing work with an emphasis on software development. It is designed for teams of ten or fewer members who break their work into goals that can be completed within time-boxed iterations.
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DevOps: DevOps is a set of practices that combines software development (Dev) and IT operations (Ops). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.
This wiki-style page provides a structured overview of the concepts and technologies included in the Web Technologies Mind Map, with relevant links for further reading and official documentation. This page can be used as a comprehensive reference for those looking to deepen their understanding of web technologies.
If you need further assistance with the content, feel free to ask! mailto:samir.sellami@live.fr
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.