Courses

Learn to build, debug, optimize, and scale RAG systems for production. 🚀 Free Production AI Starter Kit: https://bit.ly/production-ai-pack This course teaches what tutorials skip: why 90% of RAG projects fail and how to fix them. 💻 Code, Parts 1-5: https://github.com/pdichone/production-course-main-code 💻 Code, Part 6: https://github.com/pdichone/fcc-production-rag-part-6 Paulo's channel: @vincibits ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Chapters ⭐️ 0:00:00 Intro 0:01:44 Full RAG Overview 0:08:27 Development Environment Setup 0:15:35 Document Loader - Overview 0:28:27 Document Processing Pipeline - RAG Indexing Pipeline 0:48:12 Embedding Dimensions - Deep Dive 1:01:05 Hands-on - Create a Vector DB Using Chroma 1:17:48 Similarity Search with Scores 1:24:32 Building a Basic RAG System 1:33:16 Debugging RAG Systems 1:53:46 Hybrid Search 1:13:49 Token Budgeting 2:21:10 Observability - Introduction 2:29:56 LangSmith Setup 2:37:56 RAG Optimization 3:12:58 Scaling RAG Systems 3:23:35 The Real Costs of Vector Search 3:33:17 Production Hosting 3:36:00 Supabase and PGVector - Set up and Introduction 4:04:41 Three Pillars of Production Visibility 4:16:11 Production Project 4:34:36 Set up the Security Layer 4:16:11 Set up the LangGraph Agent and the FastAPI API - Testing and LangSmith Observability Dashboard 5:27:46 Test the Security Layer 5:41:36 Security Checklist 6:06:09 Advanced RAG Topics - Long Context Models vs RAG 6:14:29 Contextual Retrieval 6:24:26 Late Chunking vs Early Chunking 6:42:04 Agentic RAG - Self-Correcting Retrieval 7:04:45 GraphRAG - Multi-hop Reasoning 7:24:28 Multimodal RAG - ColPali - Vision-Based Document RAG 7:34:45 Summary - Advanced RAG (Current State) 7:37:02 RAG Evolution - Overview 7:38:35 Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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

Learn to use Anthropic's Claude Agent SDK (formerly Claude Code SDK) for AI-powered development workflows! https://platform.claude.com/docs/en/agent-sdk/overview https://x.com/trq212 **AI Summary** This workshop by Thariq Shihipar (Anthropic) details the architecture and implementation of the **Claude Agent SDK**. The session moves from high-level theory—defining "agents" as autonomous systems that manage their own context and trajectory—to a live-coding demonstration. Shihipar builds an agent "Harness" from scratch, implementing the core **Agent Loop** (Context Thought Action Observation), integrating the **Bash tool** for general computer use, and demonstrating **Context Engineering** via the file system to maintain state across long tasks. **Timestamps** 00:00 Introduction: Agenda and the "Agent" definition 05:15 The "Harness" concept: Tools, Prompts, and Skills 10:10 Live Coding Setup: Initializing the Agent class and environment 15:45 implementing the "Think" step: Getting the model to reason before acting 25:20 The Agent Loop: connecting `act`, `observe`, and `loop` 33:10 Tool Execution: Handling XML parsing and tool inputs 42:00 The "Bash" Tool: Giving the agent command line access 49:30 Safety & Permissions: "ReadOnly" vs "ReadWrite" file access 58:15 Context Engineering: Using `ls` and `cat` to build dynamic context 01:05:00 The "Monitor": Viewing the agent's thought process in real-time 01:12:45 Handling "Stuck" States: Feedback loops and error correction 01:21:20 Multi-turn Complex Tasks: Building a "Research Agent" demo 01:35:10 Refactoring patterns: "Hooks" and deterministic overrides 01:48:39 Q&A: Reproducibility, helper scripts, and non-determinism 01:50:31 Q&A: Strategies for massive codebases (50M+ lines) 01:52:00 Closing remarks and future SDK roadmap * **Evolution of AI Capabilities:** Shihipar argues we are shifting from **LLM Features** (categorization, single turn) to **Workflows** (structured, multi-step chains like RAG) to **Agents**. He defines agents as systems that *"build their own context, decide their own trajectories, and work very autonomously"* rather than following a rigid pipeline. * **The Claude Agent SDK Architecture:** The SDK is built directly on top of **Claude Code** because Anthropic found they were *"rebuilding the same parts over and over again"* for internal tools. * **The Harness:** A robust agent requires more than just a model; it needs a "Harness" containing Tools, Prompts, a **File System**, Skills, Sub-agents, and Memory. * **Opinionated Design:** The SDK bakes in lessons from deploying Claude Code, specifically the "opinion" that general computer use (Bash) is often superior to bespoke tools. * **The Power of the Bash Tool:** A key technical insight is that the **Bash tool** is often the most powerful tool for an agent. Instead of building custom tools for every action (e.g., a specific API wrapper for a file conversion), giving the agent access to the shell allows it to use existing software (like `ffmpeg`, `grep`, or `git`) to solve problems flexibly, similar to how a human developer works. * **Context Engineering:** Shihipar introduces the concept of **Context Engineering** via the file system. Instead of just "Prompt Engineering," the agent uses the file system to manage its state and context. * **Files as Memory:** The agent can write to files to "remember" things or create its own documentation (e.g., `CLAUDE.md`) to ground future actions. * **Verification:** The file system serves as a ground truth for the agent to verify its work (e.g., checking if a file was actually created). * **The Agent Loop & Intuition:** Building a successful agent loop is described as *"kind of an art or intuition"*. The loop generally follows a **Gather Context Take Action Verify Work** cycle. Shihipar emphasizes that this loop allows the agent to self-correct, a capability missing from rigid workflows. * **Strategies for Determinism (Hooks):** During the Q&A, a technique for controlling agent behavior is discussed: **Hooks**. * If an agent hallucinates or skips a step (e.g., guessing a Pokemon stat instead of checking a script), a hook can intercept the response and inject feedback: *"Please make sure you write a script, please make sure you read this data."* * This enforces rules like "read before you write" without retraining the model. * **Scaling to Large Codebases:** For massive codebases (50M+ lines), standard tools like `grep` or basic context window stuffing fail. * **Semantic Search Limitations:** Shihipar notes that while semantic search is a common solution, it is *"brittle"* because the model isn't trained on the specific semantic index. * **Solution:** He recommends good **"Claude MD"** files (context files) and starting the agent in a specific subdirectory to limit scope, rather than trying to index the entire 50M lines at once.

In this Lisp for beginners course, @the-lisper will teach you why this elegant programming language has influenced computer science for over 60 years. Lisp's elegant approach to handling code as data, combined with its powerful macro system and functional programming paradigms, offers developers unique insights into program architecture that remain relevant and influential across modern languages like Python, JavaScript, and Rust. ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ - 0:00:00 Common Lisp #1 - Installation - 0:06:45 Common Lisp #2 - Playing with the REPL - 0:13:04 Common Lisp #3 - Local variables and branching - 0:28:42 Common Lisp #4 - Looping with dotimes and do - 0:39:17 Common Lisp #5 - What are lists? - 0:48:47 Common Lisp: 4 ways to build lists - 0:56:28 Common Lisp: Introduction to macros (for beginners) - 1:08:10 Common lisp: macro vs functions (for beginners) - 1:18:00 Common LISP: Destructuring and more! - 1:24:23 Getting started with packages in Common LISP - 1:32:00 Prevent Macro Name Conflict with (gensym) - 1:36:32 Mastering Inheritance and Polymorphism with CLOS: An Introduction - 1:42:12 Mastering Inheritance and Polymorphism with CLOS: Multi-methods - 1:47:21 Common Lisp Debugging: Essential Tips and Techniques - 1:54:51 Exploring the Condition System of Common Lisp - 2:04:53 Mastering Built-in Types in Common Lisp (or how I got 3x faster execution with the same algorithm) - 2:13:13 Improve Common Lisp Code Clarity With Better Dictionary Literal - 2:21:30 Manual Memory Management in Common Lisp with CFFI - 2:28:29 Closures in Common Lisp, when CLOS Is Too Much - 2:36:08 Tail Recursion With Common Lisp, Do or Don't? - 2:41:08 Common Lisp: defvar vs defparameter - 2:46:45 Series: A Functional Approach To Common Lisp - 2:52:40 Haskell-Like Type System In Common Lisp With Coalton - 2:59:14 The Loop Macro in Common Lisp: Not Lispy but Convenient - 3:06:58 Circular list with Common Lisp 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

In this tutorial we're going to be learning what TOML is, and how it works. We will be using it in Python, but it works for practically any programming language you can think off. TOML docs: https://toml.io/en/ ▶ Become job-ready with Python: https://www.indently.io ▶ Follow me on Instagram: https://www.instagram.com/indentlyreels 00:00 What is TOML? 00:54 Creating a TOML file 02:03 Loading TOML 04:16 Learning TOML 09:28 Timestamps 10:30 Conclusion

This is a preview of my full course DSA Mastery - https://www.codebreakthrough.com/data-structures-and-algorithms Lesson Notes - https://calcur.tech/notes ⚙️ Backend Engineering Mind Map - https://calcur.tech/mindmap 💻 System Design Playlist - https://calcur.tech/system-design Timestamps: 00:00 - Intro 04:03 - My Approach to Learning DSA 06:41 - Concepts and Practice 07:57 - What Programming Language? 12-06 - 3 Tips for Success 16:48 - What Next? 17:56 - Hands-on Intro 19:52 - Classification of Numbers 23:41 - Large Numbers 25:42 - Overflow 27:20 - Midpoints for Binary Search 29:09 - Getting Max Values 33:18 - Floating Point vs Decimals 34:16 - Bankers Rounding 35:02 - Outro 💯 FREE Courses (100+ hours) - https://calcur.tech/free-courses 🏆 C++ Mastery Course - https://www.codebreakthrough.com/cpp-mastery 🐍 Backend Python Course - https://calcur.tech/backend-python 🥇 Python Mastery Course - https://calcur.tech/python-mastery ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ✉️ Newsletter - https://calcur.tech/newsletter 📸 Instagram - https://www.instagram.com/CalebCurry 🐦 Twitter - https://twitter.com/calebCurry 🔗 LinkedIn - https://www.linkedin.com/in/calebcurry ▶️ Subscribe - http://calcur.tech/subscribe 👨🏻‍🎓 Courses - https://www.codebreakthrough.com 🅿 Patreon - http://calcur.tech/patreon-calebcurry

This is CS50, Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.) This course teaches you how to solve problems, both with and without code, with an emphasis on correctness, design, and style. Topics include computational thinking, abstraction, algorithms, data structures, and computer science more generally. Problem sets inspired by the arts, humanities, social sciences, and sciences. More than teach you how to program in one language, this course teaches you how to program fundamentally and how to teach yourself new languages ultimately. The course starts with a traditional but omnipresent language called C that underlies today’s newer languages, via which you’ll learn not only about functions, variables, conditionals, loops, and more, but also about how computers themselves work underneath the hood, memory and all. The course then transitions to Python, a higher-level language that you’ll understand all the more because of C. Toward term’s end, the course introduces SQL, via which you can store data in databases, along with HTML, CSS, and JavaScript, via which you can create web and mobile apps alike. Course culminates in a final project.

In this Django crash course for beginners, you'll discover what makes Django powerful, how to set up your environment, and how to build your very first Django app. @code-with-abel will walk you through the essentials of models, views, and templates, giving you a solid foundation for future projects. By the end, you'll be ready to start creating your own dynamic web applications with Django. 💻 Starter Files: https://drive.google.com/file/d/1ksZM-f4jEZU1PZD5PqKucWT_bscVIcsJ/view ⭐️ Download Links ⭐️ Python: https://www.python.org/downloads VScode: https://code.visualstudio.com/download MySQL: https://dev.mysql.com/downloads/installer/ ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:02:56) Django-admin & manage.py ⌨️ (0:04:40) Creating Apps ⌨️ (0:05:47) Introduction to Web Frameworks ⌨️ (0:06:23) MVT ⌨️ (0:07:36) Views ⌨️ (0:15:38) Request and Response Objects ⌨️ (0:17:12) Models ⌨️ (0:20:23) Forms ⌨️ (0:24:35) Django Admin Panel ⌨️ (0:29:28) MySQL ⌨️ (0:34:40) Templates ⌨️ (0:43:31) Full Django Project ⌨️ (1:08:54) Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

Learn how to use the OpenAI's Assistants API to build powerful AI assistants. In this course, we'll explore how to leverage the Assistants API by OpenAI to create dynamic, intelligent web apps using Streamlit. What we'll cover: 1️⃣ Function Calling with the API: Learn to seamlessly integrate the Assistants API into your applications, enabling advanced AI functionalities right at your fingertips. 2️⃣ Knowledge Retrieval: Discover how to use the API to extract information, answer questions, and make your applications smarter and more responsive. 3️⃣ Code Interpreter Capabilities: Dive into the API's ability to interpret and generate code, a game-changer for automating tasks and enhancing your app's capabilities. 4️⃣ LLM Fundamentals: Gain a solid understanding of Large Language Models (LLMs) and how they form the backbone of OpenAI's Assistants API. This module demystifies the technology and provides a foundation for advanced application development. The course features a series of hands-on projects and real-world examples to apply what you've learned. By the end of our session, you'll have the skills and confidence to build your own intelligent web apps using Streamlit and OpenAI's Assistants API. ⭐️ Code ⭐️ Personal trainer: https://github.com/pdichone/vincibits-personal-trainer-assistant Personal trainer: https://github.com/pdichone/vincibits-personal-trainer-assistant Study-Buddy: https://github.com/pdichone/vincibits-study-buddy-knwoledge-retrieval ✏️ Created by @vincibits Twitter (X): @buildappswithme ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:02) What’s This Course About - What Will You Learn? ⌨️ (0:01:33) Pre-requisites ⌨️ (0:02:44) Python and Dev tools Set up ⌨️ (0:04:22) VS Code Installation ⌨️ (0:05:31) OpenAI Account - Generate an API Key ⌨️ (0:07:53) What is the Assistants API & Benefits - Comparison Between the Chat Completion API and the Assistants API ⌨️ (0:18:16) Assistants API Building Blocks ⌨️ (0:24:04) Creating an Assistants API - Manually (Personal Trainer) ⌨️ (0:38:20) Creating an Assistants API - In Code (Personal Trainer) ⌨️ (1:04:15) Build a News Summarizer Introduction: Function Calling - A Streamlit Application ⌨️ (1:25:39) Create an AssistantsManager Class For our News Summarizer ⌨️ (2:10:46) Using the AssistantManager Class to Create an Assistant and run it as a Streamlit App ⌨️ (2:28:23) Knowledge Bases Retrieval Tools - How it Works & Introduction to Embeddings ⌨️ (2:35:25) Build a Study Buddy Streamlit Application ⌨️ (3:22:24) Run the Study Buddy Streamlit Application and Test ⌨️ (3:29:27) Wrap up and Final Considerations. 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

💰 Mentorship to six figure software engineer - https://calcur.tech/mentorship ⚙️ Backend Engineering Mind Map - https://calcur.tech/mindmap 💻 System Design Playlist - https://calcur.tech/system-design Timestamps: 00:00:00 - Intro 00:01:23 - Why use Elixir 00:03:48 - Installation and Setup 00:07:15 - Intro to Mix 00:09:02 - Overview of Elixir Files 00:10:52 - Running and Elixir Script 00:13:40 - Compiling Elixir 00:16:36 - Running an Elixir Application 00:23:29 - Intro to Hex 00:25:40 - Basic Types 00:26:53 - Creating a Variable 00:27:52 - Module Attributes 00:29:01 - Atoms and Strings 00:35:35 - Strings 00:38:40 - More about Hex 00:39:49 - Numbers 00:47:39 - Compound Types 00:47:53 - Dates and Times 00:50:50 - Example App - Time Until the New Year 00:56:27 - Tuples 01:01:59 - Lists and Loops 01:04:15 - Mapping 01:04:47 - Structs 01:11:46 - Building a Guessing Game - Taking User Input 01:14:00 - if Statements 01:15:07 - Random Number 01:16:26 - Docs and Arity 01:17:28 - Cases and Errors 01:19:19 - Case 01:22:23 - Lists 01:24:16 - Append and Prepend 01:25:29 - Comprehensions with Conditions 01:27:22 - Functional Programming 01:30:07 - Defining Custom Functions 01:34:41 - What’s Next? 💯 FREE Courses (100+ hours) - https://calcur.tech/free-courses 🏆 C++ Mastery Course - https://calcur.tech/cpp-mastery 🐍 Backend Python Course - https://calcur.tech/backend-python 🥇 Python Mastery Course - https://calcur.tech/python-mastery ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ✉️ Newsletter - https://calcur.tech/newsletter 📸 Instagram - https://www.instagram.com/CalebCurry 🐦 Twitter - https://twitter.com/calebCurry 🔗 LinkedIn - https://www.linkedin.com/in/calebcurry ▶️ Subscribe - http://calcur.tech/subscribe 👨🏻‍🎓 Courses - https://www.codebreakthrough.com 🅿 Patreon - http://calcur.tech/patreon-calebcurry

💰 Mentorship to six figure software engineer - https://calcur.tech/mentorship ⚙️ Backend Engineering Mind Map - https://calcur.tech/mindmap 💻 System Design Playlist - https://calcur.tech/system-design Elixir Programming Introduction - https://youtu.be/-lgtb-YSUWE Timestamps: 00:00:00 - Intro 00:01:20 - What is Elixir Phoenix 00:03:38 - MVC Pattern 00:05:49 - Installation 00:08:25 - Project Structure 00:10:03 - Main files 00:11:08 - Other Folders 00:12:12 - Create a Repo 00:13:59 - Basic Application Architecture 00:16:12 - Adding a New Page with Mock Data 00:22:24 - Creating an API 00:22:49 - Working with the Database 00:31:53 - Routes 00:32:48 - Updating a Resource 00:34:45 - Delete 00:35:23 - Users and Relationships 00:36:01 - Update the Model 00:37:23 - Making the association in models 00:40:25 - Nested Data in API Calls 00:43:17 - Get a User’s Posts 00:48:21 - Conclusion 💯 FREE Courses (100+ hours) - https://calcur.tech/free-courses 🏆 C++ Mastery Course - https://calcur.tech/cpp-mastery 🐍 Backend Python Course - https://calcur.tech/backend-python 🥇 Python Mastery Course - https://calcur.tech/python-mastery ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ✉️ Newsletter - https://calcur.tech/newsletter 📸 Instagram - https://www.instagram.com/CalebCurry 🐦 Twitter - https://twitter.com/calebCurry 🔗 LinkedIn - https://www.linkedin.com/in/calebcurry ▶️ Subscribe - http://calcur.tech/subscribe 👨🏻‍🎓 Courses - https://www.codebreakthrough.com 🅿 Patreon - http://calcur.tech/patreon-calebcurry