Fundamentals of Data Structures and Algorithms

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This 5-hour comprehensive course covers everything from foundational concepts to advanced distributed systems. Whether you are a beginner or preparing for high-stakes tech interviews, this session provides the architectural mindset needed to build scalable applications that handle millions of users. Course Modules: Foundations: System Design mindset, Functional vs. Non-Functional Requirements, and Scalability (Vertical vs. Horizontal). Networking & APIs: Deep dive into DNS, REST APIs, GraphQL, gRPC, and WebSockets. Data & Storage: SQL vs. NoSQL, Replication, Partitioning (Sharding), and Caching strategies. Distributed Systems: CAP Theorem, Fault Tolerance, and Observability. Advanced Topics: Message Queues, Load Balancing algorithms, and real-world Monitoring. Final Case Study: A full system design walkthrough of a video streaming application. Designed for: ✅ Developers leveling up their backend architecture skills. ✅ Engineers preparing for interviews at FAANG and top product companies. ✅ Students curious about how large-scale platforms like YouTube and Netflix work internally. 🔗 Full System Design Notes: https://docs.telusko.com/docs/system-design/getting-started Check out our courses: Agentic AI with Java : Live Cohort : https://go.telusko.com/agentic-ai-with-java-cohort Coupon: TELUSKO10 (10% Discount) Master Java Spring Development : https://go.telusko.com/learn-master Coupon: TELUSKO10 (10% Discount) For More Queries WhatsApp or Call on : +919008963671 website : https://telusko.com/ Udemy Courses: Java Spring:- https://go.telusko.com/Udemyjavaspring Java:- https://go.telusko.com/udemyteluskojava Spring: https://go.telusko.com/udemyteluskospring Java For Programmers:- https://go.telusko.com/javaProgrammers Python : https://go.telusko.com/udemyteluskopython Git : https://go.telusko.com/udemyteluskogit Docker : https://go.telusko.com/udemyteluskodocker Instagram: https://www.instagram.com/navinreddyofficial/ LinkedIn: https://in.linkedin.com/in/navinreddy20 Android App: https://go.telusko.com/get-app-playstore iOS App: https://go.telusko.com/get-app-appstore WhatsApp Community: https://go.telusko.com/whatsapp Telusko Community: https://go.telusko.com/community Discord: https://discord.gg/D8hWe9BqfF 00:00:00 Introduction 00:01:32 Index 00:03:24 Hello System Design 00:05:33 Designing - Alien Bank 00:19:34 Components of System Design 00:35:22 Types of Applications 00:37:03 Data Intensive Application 00:43:03 Compute Intensive Application 00:48:18 Types of Requirement 00:48:31 Functional Requirement 00:50:13 Non-Functional Requirement 00:56:17 Domain Name Service (DNS) 01:00:45 DNS System Architecture 01:08:25 Application Programming Interface (API) 01:13:25 Types of APIs 01:21:04 RESTful Request 01:37:28 RESTful Response 01:47:25 Database 01:49:47 Relational Database - SQL 01:52:23 DB Constraints 02:00:20 DB Joins 02:08:34 Non-Relational Database - NoSQL 02:17:35 Types of NoSQL Databases 02:27:31 Cache 02:38:07 Cache Strategies 02:47:10 Cache Eviction Policies 02:53:14 Load Balancer 02:57:13 Load Balancing Algorithms 03:15:18 Load Balancer Health Checks 03:20:25 Distributed Databases 03:23:25 Replication 03:24:39 Replication Algorithms 03:44:26 Partition 03:46:48 Partition Strategies 03:57:20 CAP Theorem 04:03:40 Message Queue 04:17:29 Pub-Sub Model 04:27:32 Fault/Error 04:34:39 Monitoring and Observability 04:36:59 API Handling Monitoring 04:41:38 Machine Monitoring 04:42:50 System Design of Streaming Application 05:05:25 Thank You

Learn Python from scratch in this complete 13-hour course designed for beginners who want to build real programming confidence. Want More? 👇 - *Python Handbook* (sketches, notes, code) https://academy.datawithbaraa.com/l/digital_download/998313/the-python-handbook - *Full Package* (projects, quizzes, structure, certificate) https://www.datawithbaraa.com/course/the-ultimate-python-mastery - *Subscribe* for more Free Data content: https://www.youtube.com/channel/UC8_RSKwbU1OmZWNEoLV1tQg?sub_confirmation=1 - More *Details* and all *Links* https://www.datawithbaraa.com/wiki/python *🏆 DATA ACADEMY* - *SQL* https://www.datawithbaraa.com/course/sql-full-course-for-beginners - *Tableau* https://www.datawithbaraa.com/course/tableau-ultimate-full-course-for-beginners *🎓UDEMY* - *Python* https://www.udemy.com/course/the-complete-python-bootcamp-13hours-go-from-zero-to-hero/?referralCode=776491A4119FF8AF41CA - *SQL* https://www.udemy.com/course/the-complete-sql-bootcamp-30-hours-go-from-zero-to-hero/?referralCode=D20781228C2EB8B98339 - *Tableau* https://www.udemy.com/course/the-tableau-ultimate-course-from-zero-to-hero/?referralCode=6544726FDC491A6B25EC ━━━━━ *CONNECT WITH ME* 📬 Newsletter https://www.blog.datawithbaraa.com 👨‍💻 LinkedIn https://www.linkedin.com/in/baraa-khatib-salkini/ 📸 Instagram https://www.instagram.com/datawithbaraa/ 🎥 TikTok https://www.tiktok.com/@datawithbaraa 🌍 Website https://datawithbaraa.com/ 💬 Discord https://discord.gg/gsVJbMxKcA 🧭 Notion Roadmaps https://www.notion.com/@datawithbaraa ⭐ Favorite Books/Gear https://candle-gosling-511.notion.site/My-Favorite-Books-Gear-Apps-28334b251f1281e58a52cf7aa594e0e9?source=copy_link 📩 Sponsorships baraa@datawithbaraa.com ━━━━━ *Get 25%* OFF DataCamp's Here https://datacamp.pxf.io/bOEe66 ━━━━━ *MY FREE COURSES* - *SQL* https://youtu.be/SSKVgrwhzus - *Python* https://youtu.be/Rq5gJVxz55Q - *Tableau* https://youtu.be/UcGF09Awm4Y - *Databricks* https://www.youtube.com/playlist?list=PLNcg_FV9n7qZoxVkw-KPhcmgLWjHWVUc9 - *Power BI* https://www.youtube.com/playlist?list=PLNcg_FV9n7qZge4KDGqGtqgiuVuhVZWzu - *Data Projects* https://www.youtube.com/playlist?list=PLNcg_FV9n7qZ4Ym8ZriYT6WF8TaC2e_R7 - *Data Careers* https://www.youtube.com/playlist?list=PLNcg_FV9n7qah95jp-aPtysu7kFCbg7hd ━━━━━ 📖 TABLE OF CONTENT 00:00 Python Course Introduction 02:07 Python Learning Roadmap *CHAPTER 1 — Python Fundamentals* 05:55 What Is Python & How It Works 12:48 Installing Python 26:11 Comments & print() 26:11 Comments & print() 52:01 Variables 01:05:39 User input() 01:14:25 Python Data Types *CHAPTER 2 — Python Strings* 01:46:54 String Basics & Transformations 02:16:56 Indexing & Slicing 02:39:04 Search, Validation & Case Conversion *CHAPTER 3 — Python Numbers* 02:59:31 Integer & Float, Types, Math 03:11:33 Rounding, Random, Validation *CHAPTER 4 — Python Logic & Operators* 03:28:04 Boolean Values 03:42:33 Comparison & Logical Operators 04:06:13 Membership & Identity Operators *CHAPTER 5 — Python Conditional Statements* 04:19:19 If, Else, Elif 04:40:34 Nested & Advanced Conditions 04:57:33 Inline If & Match Case *CHAPTER 6 — Python Loops* 05:24:56 For Loops 05:47:57 Break, Continue, Pass 06:18:39 For-Else & Nested Loops 06:40:52 While Loops *CHAPTER 7 — Python Data Structures* 07:10:04 Lists Overview 07:19:40 Creating & Accessing Lists 07:48:08 Unpacking & Analyzing 08:19:18 Add, Remove & Update 08:41:46 Sorting & Combining 09:18:29 Iterables & Filtering 09:41:38 Lambda & List Comprehension 10:12:01 Tuples 10:19:59 Sets 10:38:12 Dictionaries *CHAPTER 8 — Python Functions* 11:09:45 Functions Introduction 11:28:12 Function Parameters & Return 12:20:31 Types of Python Functions 12:46:09 Writing Clean Functions This course is perfect for data analysts, data engineers, data scientists, ai engineering, developers, and students — covering everything from Python fundamentals to advanced real-world applications. #python #learnpython #ai #dataanalytics #datascience #coding

In this databricks tutorial, you will learn Databricks foundations from scratch and build a real end-to-end project in E-Commerce domain that you can confidently put on your resume. This Databricks micro Course explains everything in a simple, intuitive way! Signup to Databricks Free Edition: https://bit.ly/4nK0NTN Code, Dataset, other resources: https://resources.codebasics.io/FXipmd Get Certified by Codebasics with this Databricks Mini Course - https://resources.codebasics.io/t7vk5z ⭐️ Timestamps ⭐️ 00:00:00 Intro 00:01:15 Project Introduction 00:03:09 Stakeholder Discussion 00:04:45 Two Learning Paths 00:05:19 Sign up for the free edition 00:06:03 Explore Databricks UI 00:11:12 Dataframe Basics 00:27:54 Distributed Computing, Spark, and Databricks 00:34:51 SQL and joins in Spark 00:49:48 Reading Spark plans with explain 01:02:37 Spark Architecture 01:07:43 Transformations vs Actions and Lazy Evaluation 01:16:03 Narrow vs Wide Transformation 01:19:55 Partition and Parallelism: Repartition 01:34:00 Partition and Parallelism: Coalesce 01:39:37 Managed vs External Tables 01:43:26 Medallion architecture 01:49:18 Unity Catalog 01:59:21 Acid & Time Travel 02:09:05 About AWS Account & Delta Lake 02:09:26 AWS Account Setup 02:11:39 Delta Lake and Delta format 02:25:09 Intro & Tech Architecture 02:28:23 Catalog Setup 02:31:51 Data Understanding and Upload 02:36:20 Dimension Data Processing 03:00:45 Fact Data Processing 03:14:25 Get Insights using Genie 03:18:02 BI Dashboard 03:28:15 Orchestration 03:33:27 Stakeholder Review Meeting 03:34:50 What’s Next? Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk 📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/ 📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/ ------ 📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/ 📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/ 📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/ 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true

Learn Python from scratch and start building real AI applications. This is the fastest, beginner-friendly course Python for AI development. 📕 Course Handbook: https://go.datalumina.com/cm5P6b6 📥 Course Resources: https://go.datalumina.com/M2YfRW3 👊🏻 Let's connect on IG: https://www.instagram.com/daveebbelaar/ 🎙️ Get one free month of Glaido Pro: https://get.glaido.com/dave ⏱️ Timestamps 00:00:00 Introduction: Learn Python for AI 00:01:42 Course Overview & Structure 00:03:58 Installing Python 00:04:05 Installing Python on Windows 00:05:10 Installing Python on Mac 00:06:53 Installing VS Code 00:08:34 Setting Up VS Code (Extensions) 00:12:08 Customizing VS Code 00:13:31 Creating Your First Project 00:16:18 Creating a VS Code Workspace 00:18:02 Your First Python File (hello.py) 00:20:10 Running Python Code 00:26:23 Exercise & Recap 00:29:26 Course Resources & Community 00:31:07 Understanding Python Environments 00:33:15 Understanding Python Packages & Pip 00:34:00 Creating Virtual Environments (venv) 00:37:34 A Note on Anaconda 00:38:32 Installing Python Packages (pip install) 00:42:51 Using Python Packages (Import) 00:44:29 Interactive Python with Jupyter 00:48:30 Full Setup Recap & Exercise 00:51:36 What is Programming? 00:55:19 Understanding Python Syntax & PEP8 00:58:00 Understanding & Debugging Errors 01:01:33 Variables 01:06:03 Comments 01:09:48 Data Types Introduction 01:10:12 Numbers (Integers & Floats) 01:13:36 Strings 01:19:39 String Formatting (F strings) 01:21:49 String Methods 01:26:35 Booleans 01:31:02 Operators (Arithmetic, Comparison, Logical) 01:39:19 Shortcut Assignments (+=) 01:40:24 Control Flow Introduction 01:41:35 Conditional Statements (if, elif, else) 01:47:11 Loops (For Loops & range()) 01:52:13 Data Structures Introduction 01:53:32 Lists 01:59:10 Dictionaries 02:00:23 Tuples 02:01:37 Sets 02:05:51 Functions (Defining & Calling) 02:15:02 Function Parameters & Arguments 02:22:42 Global vs Local Variable Scope 02:28:50 Returning Values from Functions 02:37:37 External Tools (Modules, Packages) 02:40:48 Importing Modules & Built ins 02:47:56 Import Methods Summary 02:48:48 Installing Packages & requirements.txt 02:56:04 Working with APIs (Requests Example) 03:06:20 Working with Data Example (Pandas & Matplotlib) 03:10:46 Reading & Saving Data Files 03:14:50 Practical Python Introduction 03:16:47 Project Structure & Organization 03:22:02 Understanding File Paths 03:26:37 Working with Different File Types 03:34:05 Organizing Code into Modules 03:39:39 Error Handling (Try/Except) 03:45:31 Introduction to Classes (OOP) 03:49:09 Creating Your First Class (__init__, self) 03:57:04 Class Attributes vs Instances 04:00:10 Class Methods 04:05:23 Class Inheritance 04:07:32 When to Use Classes vs Functions 04:09:44 Introduction to Git & GitHub 04:12:31 Git Fundamentals 04:15:41 Installing Git 04:16:46 Basic Git Workflow 04:18:41 GitHub Account Setup & Authentication 04:22:37 Cloning GitHub Repositories 04:28:12 Creating Repositories & .gitignore 04:36:12 Using Git with VS Code UI 04:44:05 Environment Variables & Secrets (.env) 04:52:13 Using python dotenv Package 04:55:03 Introduction to Ruff (Linter & Formatter) 04:56:13 Setting Up Ruff in VS Code 04:57:23 Ruff in Action 05:01:10 Introduction to Uv (Modern Package Manager) 05:02:07 Installing Uv 05:02:30 Using Uv (uv init, add, sync) 05:09:01 Complete Python Project Workflow Exercise 05:11:13 Course Wrap up & What's Next 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!