Dev Concepts: Data Structures and Algorithms
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The document explains data structures and algorithms, focusing on representations of data in computer memory for efficient access and modification. It covers linear data types such as arrays, linked lists, and queues, as well as tree structures and traversal algorithms like depth-first and breadth-first search. Additionally, it encourages joining the SoftUni community for further learning and support.
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![ List of numbers, representing a sequence of income amounts:
Adding a new income:
Modifying an existing income:
List of Numbers – Example
var incomes = [
150, 200, 70.50, 120
];
Element Value
incomes[0] 150
incomes[1] 200
incomes[2] 70.50
incomes[3] 120
incomes.push(300);
incomes[4] 300
incomes[1] = 250;
250
3](https://image.slidesharecdn.com/dev-concepts-episode-5-what-are-data-structures-and-algorithms-211116153535/85/Dev-Concepts-Data-Structures-and-Algorithms-3-320.jpg)
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Инструментите с изкуствен интелект като ChatGPT, Claude и Gemini постепенно изместват традиционните търсачки и традиционния начин за търсене и анализ на информация, писане и създаване на бизнес документи и комуникация. В тази дискусия с примери на живо ще ви демонстрираме някои AI инструменти и ще ви дадем идеи как да ги използвате, например за измисляне на идеи на подарък, измисляне на имена, създаване на план за пътуване, резюме на статия, резюме на книга, решаване на задачи по математика, писане на есета, помощ по медицински въпрос, създаване на CV и мотивационно писмо и други.
Съдържание:
Популярни AI инструменти: ChatGPT, Claude, Gemini, Copilot, Perplexity
Структура на запитванията: Контекст, инструкция, персона, входни / изходни данни
AI при избор на име: помощник с оригинални предложения
AI при избор на подарък: креативен съветник, пълен с идеи
AI за избор на продукти: бързо проучване и сравнение
AI за планиране на пътувания: проучване, съставяне на план, препоръки
AI за планиране на събитие: планиране на рожден ден, сватба, екскурзия
AI за писане на текстове: писане на статия, есе, детектори за AI-генериран текст
AI резюме на статии и книги: изваждане на най-важното от книга / статия; как да четем книги без да ги имаме? NotebookLM
AI за диаграми и графики: визуализация чрез диаграма / графика / чертеж
AI при технически въпроси: ефективно решаване на технически проблеми
AI при търсене за работа: търсене и кандидатстване за работа, писане на CV, cover letter, Final Round AI
AI за медицински въпроси: aнализ на изследвания, въпроси за заболявания, диагнози, лечения, медикаменти и т.н.
Още AI инструменти: AI за генериране и редакция на картинки; AI за генериране на музика, FreePik, Suno, Looka, SciSpace
Лектор: д-р Светлин Наков, съосновател на СофтУни и SoftUni AI
Дата: 30.11.2024 г.
Д-р Светлин Наков е вдъхновител на хиляди млади хора да се захванат с програмиране, технологии и иновации, визионер, технологичен предприемач, вдъхновяващ преподавател, с 20+ години опит като иноватор в технологичното образование. Той е съосновател и двигател в развитието на СофтУни - най-голямата обучителна организация в сферата на технологиите в България и региона. Съосновател на гимназия за дигитални науки "СофтУни БУДИТЕЛ" и на няколко стартъп проекта. Наков има докторска степен в сферата на изкуствения интелект и изчислителната лингвистика. Носител е на Президентска награда "Джон Атанасов". Мечтата му е да направи България силициевата долина на Европа чрез образование и иновации.
AI инструменти за бизнеса - Наков - Nov 2024
AI инструменти за бизнеса - Наков - Nov 2024Svetlin Nakov AI инструменти за бизнеса
Д-р Светлин Наков @ Digital Tarnovo Summit 2024
Тема: Практически AI инструменти за трансформация на бизнеса
Описание: Лекцията на д-р Светлин Наков, съосновател на СофтУни, представя конкретни AI инструменти, които променят ежедневието и продуктивността в бизнес среда. Демонстрирайки как технологии като ChatGPT, Gemini и Claude оптимизират процеси, той показва как тези решения подпомагат задачи като създаване на оферти, разработка на маркетингови кампании, автоматизация на писмени договори, анализ на документи и други. Специално внимание се отделя на AI инструменти за креативни нужди – Looka за дизайн на лога, FreePik за ретуширане на изображения и Runway за създаване на видеа.
Събитието включва демонстрации на различни платформи, като MS Copilot за търсене в реално време и Perplexity за задълбочен онлайн анализ, предоставяйки на участниците ясно разбиране за това как всеки от тези AI асистенти се използва за решаване на специфични бизнес задачи.
AI Adoption in Business - Nakov at Forbes HR Forum - Sept 2024
AI Adoption in Business - Nakov at Forbes HR Forum - Sept 2024Svetlin Nakov Внедряване на AI в бизнеса: моят опит
д-р Светлин Наков
09 / 2024 г.
Forbes HR Forum
Software Engineers in the AI Era - Sept 2024
Software Engineers in the AI Era - Sept 2024Svetlin Nakov The document discusses the evolution of AI tools for software development, highlighting the transition from AI chatbots to coding assistants and fully autonomous developer agents. It emphasizes that AI is a tool to empower developers rather than replace them, requiring developers to adapt their skill sets to work alongside AI technologies. The demand for developers is expected to remain strong, as the nature of development work evolves towards AI-assisted approaches.
Най-търсените направления в ИТ сферата за 2024
Най-търсените направления в ИТ сферата за 2024Svetlin Nakov Най-търсените направления в ИТ сферата?
д-р Светлин Наков, съосновател на СофтУни
София, май 2024 г.
Какво се случва на пазара на труда в ИТ сектора?
Какви са прогнозите за ИТ сектора за напред?
Защо има смисъл да учиш програмиране и ИТ през 2024?
Каква е ролята на AI в ИТ професиите?
Как да започна работа като junior?
Upskill програмите на СофтУни
BG-IT-Edu: отворено учебно съдържание за ИТ учители
BG-IT-Edu: отворено учебно съдържание за ИТ учителиSvetlin Nakov Отворено учебно съдържание по програмиране и ИТ за учители
Безплатни учебни курсове и ресурси за ИТ учители
Разработени курсове към 03/2024 г. в BG-IT-Edu
https://github.com/BG-IT-Edu
Качествени учебни курсове (учебно съдържание) за ИТ учители: презентации + примери + упражнения + проекти + задачи за изпитване + judge система + насоки за учителите
Достъпни безплатно, под отворен лиценз CC-BY-NC-SA
Разработени от СофтУни Фондацията, по инициатива и под надзора на д-р Светлин Наков
Научете повече тук: https://nakov.com/blog/2024/03/27/bg-it-edu-open-education-content-for-it-teachers/
Programming World in 2024
Programming World in 2024Svetlin Nakov Светът на програмирането през 2024 г.
Продължава ли бумът на технологичните професии? Кои професии ще се търсят? Как да започна?
Прогнозата на д-р Светлин Наков за бъдещето на софтуерните професии в България
Има ли смисъл да учиш програмиране през 2024?
Какво се търси на пазара на труда?
Ще продължи ли търсенето на програмисти и през 2024?
Все още ли е най-търсената професия в технологиите?
Ролята на AI в сферата на софтуерните разработчици
Какво се случва на пазара на труда?
Има ли спад в търсенето на програмисти?
Как да започна с програмирането?
Видео от събитието сме качили във FB: https://fb.com/events/346653434644683
AI Tools for Business and Startups
AI Tools for Business and StartupsSvetlin Nakov The document discusses the integration of AI tools like ChatGPT, Bard, and Claude into daily business tasks and creative processes, emphasizing their role in digital transformation for companies. It illustrates practical applications such as data analysis, marketing content generation, and document preparation, showcasing various examples of how AI can enhance productivity. The document also highlights the importance of adopting AI technologies for businesses to remain competitive in the modern landscape.
AI Tools for Scientists - Nakov (Oct 2023)
AI Tools for Scientists - Nakov (Oct 2023)Svetlin Nakov Инструменти с изкуствен интелект в помощ на изследователите
Д-р Светлин Наков @ Anniversary Scientific Session dedicated to the 120th anniversary of the birth of John Atanasoff
AI Tools for Entrepreneurs
AI Tools for EntrepreneursSvetlin Nakov Изкуствен интелект при стартиране и управление на бизнес
Семинар във FinanceAcademy.bg
Д-р Светлин Наков
Изкуственият интелект (ИИ) е вече тук!
Къде се ползва ИИ?
ChatGPT – демо
Bard – демо
Claude – демо
Bing Chat – демо
Perplexity – демо
Bing Image Create – демо
Bulgarian Tech Industry - Nakov at Dev.BG All in One Conference 2023
Bulgarian Tech Industry - Nakov at Dev.BG All in One Conference 2023Svetlin Nakov IT industry in Bulgaria: key factors for success and the future. Deep tech, science, innovation, and education and how we can achieve more as an industry?
Dr. Svetlin Nakov
Innovation and Inspiration Manager @ SoftUni
Contents:
How big is the IT industry in Bulgaria?
Number of software professionals in Bulgaria: according to historical data from BASSCOM
Share of the software industry in GDP
Why does Bulgaria have such a successful IT industry?
Education for the tech industry: school education in software professions and profiles (2022/2023)
Education for the tech industry: Students in university in IT specialties (2022/2023)
Education for the IT industry: Learners at SoftUni (2022/2023)
Evolution of the Bulgarian software industry
How much can the industry grow?
Trends in the IT industry: AI progress, the IT market in Bulgaria, deep tech, science, and innovation
AI in the software industry
How to achieve more as an industry? education, deep tech, science, and innovation, entrepreneurship
Introduction
The IT industry in Bulgaria is one of the most successful in the country. It has grown rapidly in recent years and is now a major contributor to the economy. In this talk, Dr. Nakov explores the key factors behind the success of the Bulgarian IT industry, as well as its future prospects.
AI Tools for Business and Personal Life
AI Tools for Business and Personal LifeSvetlin Nakov A talk at LeaderClass.BG, Sofia, August 2023
by Svetlin Nakov, PhD
The artificial intelligence (AI) is here!
Where is AI used?
ChatGPT - demo
Bing Chat - demo
Bard - demo
Claude - demo
Bing Image Create - demo
Playground AI - demo
In this talk the speaker explains and demonstrates some AI tools for the business and personal life:
ChatGPT: a large language model that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
Bing Chat: an Internet-connected AI chatbot that can search Internet and answer questions.
Bard: a large language model from Google AI, trained on a massive dataset of text and code, similar to ChatGPT.
Claude: A large AI chatbot, similar to ChatGPT, powerful in document analysis.
Bing Image Create: a tool that can generate images based on text descriptions.
Playground AI: image generator and image editor, based on generative AI.
Дипломна работа: учебно съдържание по ООП - Светлин Наков
Дипломна работа: учебно съдържание по ООП - Светлин НаковSvetlin Nakov Дипломна работа на тема
"Учебно съдържание по обектно-ориентирано програмиране в профилираната подготовка по информатика"
Дипломант: д-р Светлин Наков
Специалност: Педагогика на обучението по информатика и информационни технологии в училище (ПОИИТУ)
Степен: магистър
Пловдивски университет "Паисий Хилендарски"
Факултет по математика и информатика (ФМИ)
Катедра “Компютърни технологии”
Настоящата дипломна работа има за цел да подпомогне българските ИТ учители от системата на средното образование в профилираните гимназии и паралелки, като им предостави безплатно добре разработени учебни програми и качествено учебно съдържание за преподаване в първия и най-важен модул от профил “Софтуерни и хардуерни науки”, а именно “Модул 1. Обектно-ориентирано проектиране и програмиране”.
Чрез изграждането на качествени учебни програми и ресурси за преподаване и пренасяне на добре изпитани образователни практики от автора на настоящата дипломна работа (д-р Светлин Наков) към българските ИТ учители целим значително да подпомогнем учителите в тяхната образователна кауза и да повишим качеството на обучението по програмиране в профилираните гимназии с профил “Софтуерни и хардуерни науки”.
Резултатите от настоящата дипломна работа са вече внедрени в практиката и разработените учебни ресурси се използват реално от стотици ИТ учители в България в ежедневната им работа. Това е една от основните цели и тя вече е изпълнена, още преди защитата на настоящата дипломна работа.
Прочетете повече в блога на д-р Наков: https://nakov.com/blog/2023/07/08/free-learning-content-oop-nakov/
Дипломна работа: учебно съдържание по ООП
Дипломна работа: учебно съдържание по ООПSvetlin Nakov Презентация за защита на
Дипломна работа на тема
"Учебно съдържание по обектно-ориентирано програмиране в профилираната подготовка по информатика"
Дипломант: д-р Светлин Наков
Пловдивски университет "Паисий Хилендарски"
Факултет по математика и информатика (ФМИ)
Катедра “Компютърни технологии”
Защитена на: 8 юли 2023 г.
Научете повече в блога на д-р Наков: https://nakov.com/blog/2023/07/08/free-learning-content-oop-nakov
Свободно ИТ учебно съдържание за учители по програмиране и ИТ
Свободно ИТ учебно съдържание за учители по програмиране и ИТSvetlin Nakov В тази сесия разказвам за училищното образование по програмиране и ИТ, за професионалните и профилираните гимназии, свързани с програмиране и ИТ, за STEM кабинетите, за българските ИТ учители и тяхната подготовка, за проблемите, с които те се сблъскват, и как можем да им помогнем чрез проекта „Свободно учебно съдържание по програмиране и ИТ“: https://github.com/BG-IT-Edu.
Open Fest 2021, 14 август, София
В света се засилва тенденцията за установяване на STEAM образованието като двигател на научно-техническия прогрес чрез развитие на интердисциплинарни умения в сферата на природните науки, математиката, информационните технологии, инженерните науки и изкуствата в училищна възраст. С масовото изграждане на STEAM лаборатории в българските училища се изостря недостига на добре подготвени STEAM и ИТ учители.
Вярвайки в идеята, че българската ИТ общност може да помогне за решаването на проблема, през 2020 г. по инициатива на СофтУни Фондацията стартира проект за създаване на безплатно учебно съдържание по програмиране и ИТ за учители в подкрепа на училищното технологично образование. Проектът е със свободен лиценз в GitHub: https://github.com/BG-IT-Edu. Учителите получават безплатно богат комплект от съвременни учебни материали с високо качество: презентации, постъпкови ръководства, задачи за упражнения и практически проекти, окомплектовани с насоки, подсказки и решения, безплатна система за автоматизирано тестване на решенията и други учебни ресурси, на български и английски език.
Създадени са голяма част от учебните курсове за професиите "Приложен програмист", "Системен програмист" и "Програмист" в професионалните гимназии. Амбицията на проекта е да се създадат свободни учебни материали и за обученията в профил "Софтуерни и хардуерни науки" в профилираните гимназии.
Целта на проекта “Свободно ИТ учебно съдържание за учители” е да подпомогне българския ИТ учител с качествени учебни материали, така че да преподава на добро ниво и със съвременни технологии и инструменти, за да положи основите на подготовката на бъдещите ИТ специалисти и дигитални лидери на България.
В лекцията разказвам за училищното образование по програмиране и ИТ, за професионалните и профилираните гимназии, свързани с програмиране и ИТ, за STEM кабинетите, за българските ИТ учители и тяхната подготовка, за проблемите с които те се срещат, за липсата на учебници и учебни материали по програмиране, ИТ и по техническите дисциплини и как можем да помогнем на ИТ учителите.
AI and the Professions of the Future
AI and the Professions of the FutureSvetlin Nakov The document discusses the current impact of AI on business and future professions, highlighting tools like ChatGPT and Playground AI that enhance various professional fields. It contrasts AI-replaceable jobs, such as call center staff and data entry clerks, with AI-resistant roles like healthcare professionals and skilled tradespeople. Additionally, it addresses the need for education to adapt to AI by integrating both traditional skills and modern AI tools, while also considering the ethical implications of AI technologies.
Programming Languages Trends for 2023
Programming Languages Trends for 2023Svetlin Nakov This document discusses programming language trends and career opportunities. It analyzes data from sites like Stack Overflow, GitHub, and LinkedIn to determine the most in-demand languages in 2022 and predictions for 2023. The top 6 languages are Python, JavaScript, Java, C#, C++, and PHP. To become a software engineer, one needs 1-2 years of study focusing on coding skills, algorithms, software concepts, and languages/technologies while building practical projects and gaining experience through internships or jobs.
IT Professions and How to Become a Developer
IT Professions and How to Become a DeveloperSvetlin Nakov The document discusses the various IT professions and specializations available in the tech industry, emphasizing software development, digital marketing, and design roles. It highlights the growing demand for these professions, particularly in the USA, and mentions SoftUni as a leading tech education provider in Southeast Europe, with a track record of successfully retraining individuals from various backgrounds. The document encourages individuals to pursue careers in IT, citing that with dedication and logical thinking, anyone can become a software developer.
GitHub Actions (Nakov at RuseConf, Sept 2022)
GitHub Actions (Nakov at RuseConf, Sept 2022)Svetlin Nakov The document discusses the concepts of continuous integration (CI), continuous delivery (CD), and continuous deployment (CD) as well as the implementation of CI/CD pipelines using GitHub Actions. It outlines the processes involved in maintaining software quality through frequent code integration, automated testing, and deployment workflows. Additionally, it includes practical examples of building CI/CD systems for both JavaScript and .NET applications using GitHub Actions.
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- India L1/L2 Agent: ₹6,64,379 ($8,000) annually (full cost)
- US L1/L2 Agent: $70,000 annually (loaded cost)
- Qcall.ai Agentic AI: ₹6/min ($0.07/min) = 85% savings
Game-Changing Results:
- 47 human agents → 8 agents + AI system
- Operating costs: $2.8M → $420K (85% reduction)
- Customer satisfaction: 78% → 91%
- First call resolution: 72% → 94%
- Languages: 2-3 → 15+ fluently
Why Agentic AI Wins:
- Human Limitations: 8hrs/day, 1-2 languages, 30-45% attrition, mood-dependent, 6-12 weeks training
- Qcall.ai Advantages: 24/7 availability, 97% humanized voice, <60 second response, intelligent qualification, seamless handoff
Industry Impact:
- E-commerce: 82% cost reduction
- Healthcare: 90% appointment automation
- SaaS: 23% satisfaction improvement
- Financial: 95% inquiry automation
Implementation:
- Setup: 2-5 days vs 6-12 weeks hiring
- ROI: Break-even in 3 months
- Scaling: Instant global expansion
Competitive Gap:
- Early Adopters: 85% cost advantage, superior metrics, faster expansion
Late Adopters: Higher costs, limited scalability, compounding disadvantage
Similar automation patterns emerge across industries.
Marketing teams use autoposting.ai for social media automation - same human-AI collaboration model driving L1/L2 transformation.
"We reduced support costs by 78% while improving satisfaction by 31%. ROI was immediate and keeps compounding." - COO, Global SaaS Company
Getting Started:
Calculate current L1/L2 costs
Assess repetitive tasks
Request Qcall.ai demo
Plan 20% pilot
Bottom Line: Companies avoiding this shift hemorrhage millions while competitors scale globally with fraction of costs. The question isn't whether agentic AI will replace routine tasks - it's whether you'll implement before competitors gain insurmountable advantage.
Ready to transform operations? This reveals complete cost analysis, implementation strategy, and competitive advantages.
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Dev Concepts: Data Structures and Algorithms
- 1. Dev Concepts What are Data Structures and Algorithms? Brief
- 2. 2 Data structures are representations of data in the computer memory, which allow efficient access and modification Linear data types: arrays, lists, stacks, queues Data Structures … … … … … 0 1 2 3 4 Array / list (indexed group of elements) Linked list (sequence of linked elements) Queue
- 3. List of numbers, representing a sequence of income amounts: Adding a new income: Modifying an existing income: List of Numbers – Example var incomes = [ 150, 200, 70.50, 120 ]; Element Value incomes[0] 150 incomes[1] 200 incomes[2] 70.50 incomes[3] 120 incomes.push(300); incomes[4] 300 incomes[1] = 250; 250 3
- 4. Live Demo List of Numbers https://repl.it/@nakov/list-example-js
- 5. 5 Trees and tree-like data structures Each node holds data + list of child nodes + parent node Trees and Traversal Algorithms C: Programs Users Windows Peter Maria George Tree traversal algorithms Depth-First Search (DFS) Breadth-First Search (BFS) DepthFirstSearch(node) { print(node); for each ch in node.childNodes DepthFirstSearch(ch) }
- 6. Live Demo Recursive Traversal of the File System https://repl.it/@nakov/traverse-folders-cs
- 7. … … … Next Steps Join the SoftUni "Learn To Code" Community Access the Free Dev Lessons Get Help from the Mentors Meet the Other Learners https://softuni.org
- 8. … … … Join the SoftUni Community softuni.o rg
Editor's Notes
- #2: Hello, I am Svetlin Nakov from SoftUni and this is the next episode from my "Dev Concepts" series. In this lesson I will briefly explain and demonstrate the concepts of data structures and algorithms in computer programming, with live code examples. As an example, I will demonstrate the "tree" data structure and the DFS algorithm (the recursive depth-first search traversal).
- #3: Data structures are representations of data in the computer memory, which allow efficient access and modification. This is a pretty big topic. Hundreds of books are written about data structures. Data structures can be linear structures (such as arrays and lists), tree-like structures (such as balanced trees), graph-like structures (such as graphs), hash-based structures (such as hash-tables) and others. Linear data types are the most commonly used data structures in programming. They represent sequences of elements, which can be ordered or not, indexed or not, linked to the next element or not, etc. Examples of linear data structures are arrays, lists, stacks and queues. This is how arrays and array-based lists look like in most programming languages and platforms: They are sequences of elements, which are directly accessible by their position (which is called "index"). This is an example of linked-list. It consists of elements, where each element knows its next element. The last element has "null" (or missing value) as next element. Unlike array-based lists, linked list do not provide direct access by index. This is an example of array-based queue. The "queue" data structure works on the FIFO principle (first-in first-out). Elements are appended in the queue at its left end (at its back). This operation is called "enqueue". Elements are taken from the queue from its right end (from its front). This operation is called "dequeue". We shall master the linear data structures in detail in the advanced programming modules at SoftUni.
- #4: This is a simple example, which illustrates the "list" data structure. We have a list of numbers, representing a sequence of income amounts. This is how the list looks like in the memory. It is an indexed structure: each element has a unique index, a number in the range from 0 to the size of the list minus one. This is how we can append a new income. This is how we can modify an existing income, by its index.
- #5: This live demonstration illustrates how to use simple lists in JavaScript. We open the live example at repl.it. And we wait for it to load. It needs some time. This is the same example from the previous slide. We run it and we see the result: the list before and after the modifications.
- #6: In programming, sometimes we use more complex data structures, like trees. Tees and tree-like data structures consist of nodes, where each node holds data + list of child nodes + parent node This example illustrates visually a tree. This is a tree holding, the directory structure of a hard drive in Windows. The root node "C colon backslash" has 3 child nodes: "Programs", "Users" and "Windows" The child node "Users" has 3 child nodes: "Maria", "Peter" and "George". The other nodes have no children. Each node, except the root, have a parent node. Data structures often come with algorithms for their processing. Such algorithms can be different styles of traversing; appending, inserting, deleting and modifying a node; extracting sub-structures, finding paths, and much more. Examples of algorithms are the classical tree traversal algorithms: Depth-First Search (DFS) And Breadth-First Search (BFS) We shall learn them in the "Data Structures and Algorithms" module at SoftUni. This is a sample pseudocode implementation of the Depth-First-Search algorithm. The in-depth traversal starts from certain node. Then this node is first printed. Then the traversal starts recursively from each child node of the current node. The traversal process initially starts from the root node of the tree and reaches all tree nodes sooner or later. Unless the tree has a cycle or the tree is not connected, this process in finite and will traverse all the nodes.
- #7: This live example illustrates the tree traversal algorithm "Depth-First-Search" (DFS), used to traverse the local file system. Let' see it in action. We open the live code example at repl.it. Now we wait for it to load, as usually. We can see the source code of the example. Тhe code is a little bit longer and a little more complicated than in the previous example, but essentially this is the DFS algorithm implemented in C#. This sample code starts the directory tree traversal from the parent of the current folder and traverses recursively the file system under this folder. Let's run the program. The output holds all the files and subfolders of the current folder at the server-side, listed recursively. In this lesson I cannot teach you how to traverse trees. Instead I can demonstrate important development concepts, such as data structures and algorithms. This is just a small example of how an algorithm may look like. I hope you find it interesting to learn more about data structures and algorithms later in your learning track for programmers.
- #8: Did you like this lesson? Do you want more? Join the learners' community at softuni.org. Subscribe to my YouTube channel to get more free video tutorials on coding, dev concepts and software development. Access more free dev lessons and learning resources for developers. Get free help from mentors and meet other learners. And it's all free!
- #9: Join now! SOFTUNI.ORG