What is MCP? Model Context Protocol Explained pixegami 2025-06-17 | MCP (Model Context Protocol) gives AI agents superpowers.It is an open standard that lets AI agents (LLMs) interact with the outside world — sort of a universal API (or a USB-C) for LLMs. Let's take a look at the problem it solves, how it works, and some examples.With MCP servers, you will be able to enable AI agents to do anything that you could do with an external API: update spreadsheets, make a phone call, crawl the web, play a game (and probably thousands of other things).👉 Links🔗 MCP Docs: modelcontextprotocol.io/introduction🔗 MCP Servers: github.com/modelcontextprotocol/servers🔗 Claude Desktop: claude.ai/download📚 Chapters00:00 What Is MCP?01:21 The Problem MCP Solves04:36 How MCP Works08:55 An Example Agent#pixegami #ai
Nano Banana 🍌Full Guide and Best Practices for AI Image Generation pixegami 2025-09-15 | Learn how to get AMAZING results when you generate or edit images with Nano Banana. This video will walk you through Google's official image generation guide, prompt templates, and best practices — with real examples.👉 Links🔗 Official Guide: https://ai.google.dev/gemini-api/docs/image-generation🔗 Code Examples: github.com/pixegami/nano-banana-prompt-guide🎥 Nano Banana API: youtu.be/rV8NqpkklNU📚 Chapters00:00 Nano Banana Guide01:07 Generate Realistic Images02:41 Generate Illustrations and Anime04:01 Generate Product Photos04:59 Editing Images with Text06:03 Combining Multiple Images07:26 6x Best Practices for Nano Banana#pixegami #nanobanana
Create AMAZING Images with Googles Nano Banana API in Python pixegami 2025-09-01 | Nano Banana is an INSANELY good AI image model by Google.It's also known as "Gemini 2.5 Flash Image", and is available via API. In this project, I'll show you how to use the API in Python, to create your own image generation app.👉 Links🔗 Project Code: github.com/pixegami/nano-banana-python🔗 Google AI Studio: aistudio.google.com🔗 Google Cloud: console.cloud.google.com📚 Chapters00:00 What is Nano Banana?01:29 Gemini API Key02:54 Project Setup03:45 Nano Banana API Code07:05 Edit and Merge Image
UV: The Python Tool Everyone Is Switching To pixegami 2025-07-31 | UV is a fast, powerful all-in-one package manager for Python that replaces tools like pip and virtualenv. Let's take a look at what it is, how to use it, and why many Python developers are switching to this.👉 Links🔗 UV GitHub: github.com/astral-sh/uv🔗 How To Install: https://docs.astral.sh/uv/getting-started/installation📚 Chapters00:00 What is UV?01:14 Project and Environment Setup05:44 Package Management08:59 Run Tools with uvx11:03 UV Speed
Gemini CLI: How To Get Started pixegami 2025-07-08 | Gemini CLI is a free and open source AI agent from Google. It is a general purpose AI agent that runs from your terminal, and can autonomously work on your project for you. It is extremely powerful, it can connect to external tools via MCP, and it is free to use. But it is also new, so let's take a quick first look at how to use Gemini CLI, and some example use cases.🔗 Gemini CLI: github.com/google-gemini/gemini-cli🎥 Claude Code: youtu.be/9cM-0Jy0lJ0📚 Chapters00:00 What is Gemini CLI?03:36 Setting Up Gemini CLI05:05 Configuring GEMINI.md06:27 Example Use Cases09:32 Connecting External Tools12:47 Pricing and Models#pixegami #ai
Claude Code Will 10x Your Productivity pixegami 2025-07-01 | Claude Code is a powerful, general purpose AI agent that runs in your terminal. It is super powerful, and it could change the way we build software.Learn how to install Claude Code, how to configure it, and how to get started using it effectively.📚 Chapters00:00 Introduction02:20 What Is Claude Code?04:58 Install Claude Code07:02 Example Use Cases11:54 Configuring Claude13:41 Custom Workflows15:31 Using External Tools19:59 Model and Pricing#pixegami
Build an MCP Server in 20 Minutes (with Python) pixegami 2025-06-24 | Learn how to build an MCP server in Python and connect it to Claude Desktop and use it as an AI agent. This MCP server will let you fetch real time data, and create/modify spreadsheets via Google sheets.This is a great project for any Python developers that want to get started with MCP server development, and automation with AI agents!👉 Links🔗 Code: github.com/pixegami/mcp-python-weather🔗 MCP Servers: github.com/modelcontextprotocol/servers🎥 What is MCP? youtu.be/AdODsQdGHz0📚 Chapters00:00 Introduction02:33 MCP Server Overview04:31 Create an MCP Server08:58 Google Sheets MCP13:29 Using MCP tools in Claude Desktop#pixegami #ai
FastAPI for AI: Build an AI Endpoint in 30 Minutes pixegami 2025-06-10 | Learn how to build a FastAPI endpoint for your AI app in 30 mins.We'll be using FastAPI (Python), and Gemini as our AI LLM model. Then we'll take a look at how to secure the endpoint with rate limiting, and with JWT tokens for authentication.👉 Links🔗 Code: github.com/pixegami/fastapi-gemini-ai🔑 Get Your Gemini Key: aistudio.google.com/app/apikey🎥 FastAPI on AWS Lambda: youtu.be/RGIM4JfsSk0📚 Chapters00:00 - Introduction01:29 - Project Overview02:34 - Setting Up04:13 - Create a FastAPI App06:46 - AI Integration (Gemini)08:11 - Custom System Prompt11:16 - Run the Server12:51 - Rate Limiting16:03 - Authentication with JWT22:38 - Finished Project#pixegami
Build a Simple RAG Pipeline in 30 Minutes! pixegami 2025-06-03 | Learn how to a simple, modular RAG pipeline in Python. This will let you add documents, generate embeddings, and evaluate (test) the pipeline quality, end-to-end with a single CLI command.🔗 Code: github.com/pixegami/simple-rag-pipeline📚 Chapters00:00 - Introduction02:01 - Pipeline Architecture04:43 - Set Up the Database09:05 - Set Up Core Components13:14 - Evaluation18:04 - Connect the Pipeline20:35 - Run the Pipeline23:39 - Upgrade and Run Again!#pixegami
Run DeepSeek R1 Locally — Free AI That Actually Works! pixegami 2025-02-01 | Here are 3 quick and easy ways to run the open-source Deepseek-R1 LLM model locally on your computer.👉 Links🔗 Code: github.com/pixegami/run-deepseek-local🔗 LM Studio: lmstudio.ai🔗 Ollama: ollama.com🔗 Ollama Model Library: ollama.com/library/deepseek-r1📚 Chapters00:00 How To Run Deepseek Locally00:52 Run Deepseek-R1 with LM Studio02:20 Run Deepseek-R1 with Ollama04:01 Run Deepseek-R1 with Python
Supabase Full Project ⚡️ The FASTEST Way to Ship a SaaS App? pixegami 2025-01-27 | Deploy a fully functioning SaaS application with Supabase and NextJS!In this video I'll show you how Supabase works, walk you through how to apply its awesome features (databases, auth, storage) to a SaaS project. The code is free for you to download and clone from GitHub. Enjoy!👉 Links🔗 Project Code: github.com/pixegami/task-app🔗 Supabase: supabase.com🔗 Google Cloud: console.cloud.google.com🔗 OpenAI: platform.openai.com🔗 Stripe: stripe.com📚 Chapters00:00 Introduction and Demo02:19 Supabase Project Overview05:11 Setting Up08:03 Create Supabase Project10:10 Supabase CLI11:54 Google OAuth14:38 OpenAI API Key15:32 Stripe Integration22:12 Add Database27:28 Add Storage28:49 Deploy Edge Functions32:15 Run the Project34:03 Run Integration Tests35:02 Wrapping Up
How Good is Cursor AI? Pros and Cons with Real Examples pixegami 2024-10-21 | Cursor is an AI code editor. In this video, we're going to try it out by creating a project from scratch. At the end I'll review my experience with this new tool from my perspective as a software engineer.👉 Links🔗 Download Cursor: cursor.com🔗 Project Code: github.com/pixegami/cursor-ai-map-project🎨 Theme: Noctis Minimus📚 Chapters00:00 Introduction00:43 How Cursor Works02:17 Project Overview02:50 Starting a Project06:28 Adding New Features10:33 Refine Map Results13:08 Expanding Scope14:46 Difficult Bug17:57 Build a Flask Server20:08 Adding CSS Style23:37 Optimize Performance26:03 Project Retrospective28:35 Cursor Pros and Cons31:38 Verdict
How To Build an AI Agent That Can Use Tools | Python + Claude 3.5 Sonnet pixegami 2024-10-07 | Learn how to build a Python AI chat/agent that can use tools (custom functions). In this video, our AI agent will help us making bookings/reservations based on data from a CSV file. We will be using Claude Sonnet 3.5 as our LLM.👉 Links🔗 Code: github.com/pixegami/claude-booking-bot🔗 Anthropic Console: console.anthropic.com🔗 Tools Library: github.com/anthropics/anthropic-tools📚 Chapters00:00 Introduction01:18 Project Demo03:45 Tool-Use Concepts06:33 Project Setup09:11 Creating Tools13:34 Tool Schemas16:48 Tool Helper Functions17:58 Integrate Tools with AI23:15 Project Code Walkthrough26:34 Demo (With Broken Edge Case)27:59 Final Project Demo29:21 Wrapping Up
Claude 3.5 API in Python • Explore AWESOME Use Cases! pixegami 2024-07-22 | Learn to use Claude 3.5 Sonnet API in Python with this tutorial. We will have 3 example use-cases: a simple chat interface, tool-use (to make a local artifacts feature), and using vision to read a screenshot. All of this will be done via the API (Python SDK).👉 Links🔗 Code: github.com/pixegami/claude-3.5-api-tutorial🔗 Claude: claude.ai🔗 Anthropic: anthropic.com📚 Chapters00:00 - Introduction03:07 - Setting Up04:42 - Chat Example06:53 - Tool-Use (Function Calling)09:20 - Creating Tools11:04 - Using Tools16:23 - Vision API19:18 - Wrapping Up
How To Build a Web UI for your AI App (Clean & Functional) pixegami 2024-07-08 | Learn how to build a clean and functional NextJS frontend for your RAG/AI API.The AI app is a RAG (Retrieval Augmented Generation) app, built using Python and FastAPI, and hosted on AWS. The frontend will be using NextJS, TailwindCSS, and shadcn/ui components. The site will be fully static (free/cheap to host, without a dedicated server) and can generally be adapted to any kind of API backend.👉 Links🔗 Project: github.com/pixegami/deploy-rag-to-aws/tree/frontend-tutorial🔗 Demo: rag.pixegami.io🔗 API: api.rag.pixegami.io🔗 UI Library: ui.shadcn.com👉 Previous RAG Tutorials💡 youtu.be/tcqEUSNCn8I💡 youtu.be/2TJxpyO3ei4💡 youtu.be/ldFONBo2CR0📚 Chapters00:00 - Introduction02:43 - Architecture Overview06:24 - Generate an API Client09:32 - Implement "ViewQuery" Page15:27 - Rendering Components19:31 - Implement "SubmitQuery" Form25:07 - Implement "QueryList" Component28:26 - Final Layout
How To Deploy Your RAG/AI App On AWS (Step by Step) pixegami 2024-06-12 | Learn how to deploy your Python RAG/AI project to the cloud in this advanced tutorial. We will turn the app into a public API, and host it on AWS Lambda (which makes it scalable and high-performance).🔗 Code: github.com/pixegami/deploy-rag-to-aws👉 Related Videos (in case you need it)RAG Project Basic Tutorial: youtu.be/tcqEUSNCn8IRAG Project Advanced Tutorial: youtu.be/2TJxpyO3ei4FastAPI Tutorial: youtu.be/iWS9ogMPOI0Get Started with AWS: youtu.be/LFCTFzcMQuAAWS Bedrock (AI): youtu.be/kwkaBrK_-BsUsing Docker on Lambda: youtu.be/wbsbXfkv47A📚 Chapters00:00 - Introduction04:12 - RAG Recap11:25 - Project Architecture13:57 - Adding FastAPI18:44 - Building a Docker Image20:54 - Deployment Hacks25:53 - Local Testing With Docker29:17 - Build AWS Infrastructure with CDK42:12 - Creating an Async API54:11 - Wrapping Up
Python RAG Tutorial (with Local LLMs): AI For Your PDFs pixegami 2024-04-17 | Learn how to build a RAG (Retrieval Augmented Generation) app in Python that can let you query/chat with your PDFs using generative AI.This project contains some more advanced topics, like how to run RAG apps locally (with Ollama), how to update a vector DB with new items, how to use RAG with PDFs (or any other files), and how to test the quality of AI generated responses.👉 Links🔗 GitHub: github.com/pixegami/rag-tutorial-v2🔗 Basic RAG Tutorial: youtu.be/tcqEUSNCn8I🔗 PyTest Video: youtu.be/YbpKMIUjvK8👉 Resources🔗 Document loaders: python.langchain.com/docs/modules/data_connection/document_loaders🔗 PDF Loader: python.langchain.com/docs/modules/data_connection/document_loaders/pdf🔗 Ollama: ollama.com📚 Chapters00:00 Introduction01:06 RAG Recap03:22 Loading PDF Data05:08 Generate Embeddings07:16 How To Store and Update Data10:46 Updating Database11:45 Running RAG Locally15:12 Unit Testing AI Output20:29 Wrapping Up
Ollama: Run LLMs Locally On Your Computer (Fast and Easy) pixegami 2024-04-08 | With Ollama, you can run local, open-source LLMs on your own computer easily and for free. This tutorial walks through how to install and use Ollama, how to access it via a local REST API, and how to use it in a Python app (using a client library like Langchain).👉 Links🔗 Ollama GitHub: github.com/ollama🔗 LLM Library: ollama.com/library🔗 RAG + Langchain Python Project: youtu.be/tcqEUSNCn8I📚 Chapters00:00 How To Run LLMs Locally01:07 Install Ollama02:45 Ollama Server and API04:15 Using Ollama Via Langchain
Using Python and AI to Automate My Video Editing Process pixegami 2024-04-01 | This is a behind-the-scenes breakdown of my current process for making videos (as of 2024).In this video I'll show all the steps I take as I make these videos, the equipment I use, and some of the custom AI and automation tooling I've created to help make the process go faster (originally it was 1-2 months, now it's down to about 7 days).I use a lot of automation (with Python and AI tools) to do a lot of the time-consuming work, such slide generation, editing, translation, and generating video meta-data.📚 Chapters00:00 - Introduction00:45 - Video Production Process01:59 - Project Idea02:52 - Coding04:21 - Writing04:55 - Generating Slides08:44 - Recording09:44 - Editing10:20 - Automated First Edit14:05 - Translation Process14:55 - Chapter Labelling15:45 - Process Demo
Python Langchain Tutorial: Use 3 Different LLMs in 10 Mins pixegami 2024-01-15 | Learn how to easily switch between LLMs in Langchain for your Python applications: OpenAI's GPT-4, Amazon Bedrock (Claude V2), and Google Gemini Pro. Or if none of these suit your needs, you can also implement your own interface.📚 Chapters00:00 Introduction01:43 Getting Started03:18 Creating the Base App05:33 How To Use OpenAI GPT-407:42 How To Use Claude/Llama2 (via AWS)09:33 How To Use Google Gemini Pro10:27 Custom LLMs👉 Links🔗 Code: github.com/pixegami/langchain-custom-llms🔗 Langchain LLMs: python.langchain.com/docs/integrations/llms🔗 Custom LLM: python.langchain.com/docs/modules/model_io/llms/custom_llm🔗 AWS Bedrock: aws.amazon.com/bedrock🔗 Google AI API: makersuite.google.com/app/apikey🔗 How to Get Started with AWS: youtu.be/LFCTFzcMQuA
Top 5 High Paying Tech Skills to Learn in 2024 pixegami 2024-01-01 | What are the top 5 tech skills to learn in 2024 to get ahead?In this video, I'll share what I think are the top 5 skills to invest time into this year if you want to get a high-paying role in tech, or to advance your career. This is based on various data and trends I've observed in 2023, and some of my own gut feeling.Salary Data: https://www.levels.fyi/State of AI: mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-yearCrowdStrike Global Threat Report: go.crowdstrike.com/2023-global-threat-report.htmlCloud Market Growth: gartner.com/en/newsroom/press-releases/11-13-2023-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-reach-679-billion-in-20240Bloomberg Job Skills Report: bloomberg.com/graphics/2015-job-skills-report📚 Chapters00:00 Tech Skills in 202401:09 Generative AI05:05 Productivity Automation (RPA)07:27 Cybersecurity09:16 Cloud Computing11:57 Leadership and Soft-Skills#pixegami
Create a Custom AI Assistant + API in 10 Mins pixegami 2023-12-25 | Learn how to build your own AI assistant using OpenAI's Assistants API and how to access it via Python.👉 Links🔗 Code: github.com/pixegami/openai-assistants-api-demo🔗 Documentation: platform.openai.com/docs/assistants/overview🔗 OpenAI Assistants: platform.openai.com/assistants🔗 Data (PDF): eiu.com/n/campaigns/global-liveability-index-2023📚 Chapters00:00 OpenAI Assistants API00:58 Create an OpenAI Assistant02:07 Adding Custom Data04:03 Function Calling05:58 Code Interpreter06:57 Using an API Endpoint10:03 Wrapping Up#pixegami #ai
Build a Custom AI RPG Game with OpenAI GPTs pixegami 2023-12-18 | Learn how to build custom OpenAI GPTs by making an interactive text-based adventure game (in the style of Dungeons and Dragons).🔗 ChatGPT Custom GPT: chat.openai.com/gpts/discovery🔗 OpenAI Assistants API: platform.openai.com/assistants🔗 DnD "Wealthy Merchant" Campaign: dmsguild.com/product/194450/An-Introduction-to-DD--The-Wealthy-Merchant📚 Chapters00:00 Introduction01:06 Project Demo03:46 Creating a Custom GPT05:40 Loading Custom Data08:00 AI Prompt Engineering09:41 AI Image Generation10:51 Adding Conversation Starters12:09 Deploy the Custom GPT12:48 Deploy as an API#pixegami #openai
Python Dataclasses: Heres 7 Ways It Will Improve Your Code pixegami 2023-12-11 | Dataclasses in Python simplify the creation of data structures with minimal code, and gives you a lot of useful utility right out of the box.🔗 docs.python.org/3/library/dataclasses.html📚 Chapters00:00 Introduction00:25 What is a Dataclass?01:06 Create Data Structures with Less Code02:34 Descriptive REPR03:30 Built-in Equality Check04:11 Fields and Default Values06:19 Frozen Objects07:16 Ordered Objects08:21 Convert To and From Dict#pixegami #python
Streamlit: The Fastest Way To Build Python Apps? pixegami 2023-11-27 | Learn how to build a Python Streamlit app in just 12 minutes!Streamlit turns data scripts into shareable web apps in minutes.All in pure Python. No front‑end experience required.👉 Links🔗 Code: github.com/pixegami/streamlit-demo-app🔗 Streamlit: docs.streamlit.io📚 Chapters00:00 Introduction00:41 What is Streamlit?01:49 Using Input Elements03:22 Working with Data04:47 Multipage Apps06:43 Loan Repayments App10:03 Deploying to Streamlit Cloud#pixegami #streamlit
RAG + Langchain Python Project: Easy AI/Chat For Your Docs pixegami 2023-11-20 | Learn how to build a "retrieval augmented generation" (RAG) app with Langchain and OpenAI in Python.You can use this to create chat-bots for your documents, books or files. You can also use it to build rich, interactive AI applications that use your data as a source.👉 Links🔗 Code: github.com/pixegami/langchain-rag-tutorial📄 (Sample Data) AWS Docs: github.com/awsdocs/aws-lambda-developer-guide📄 (Sample Data) Alice in Wonderland: gutenberg.org/ebooks/11📚 Chapters00:00 What is RAG?01:36 Preparing the Data05:05 Creating Chroma Database06:36 What are Vector Embeddings?09:38 Querying for Relevant Data12:47 Crafting a Great Response16:18 Wrapping Up#pixegami #python
Langchain: The BEST Library For Building AI Apps In Python? pixegami 2023-10-23 | Learn to build LLM applications using Langchain (an AI toolkit for Python and JS).👉 Links🔗 Code: github.com/pixegami/basic-langchain-examples🔗 Langchain: langchain.com🔗 OpenAI Platform: platform.openai.com📚 Chapters00:00 Introduction to Langchain00:52 Setting Up Langchain and OpenAI02:36 Generate Predictions03:40 Getting Structured Output05:52 Sequential Chains07:03 Building an AI Agent10:32 Other Langchain Features#pixegami #langchain
How to Publish a Python Package to PyPI (pip) pixegami 2023-10-16 | Learn how to publish your own custom Python package to PyPI.This tutorial covers setting up the project, configuring the setup.py file, building and testing the package, adding CLI functionality, publishing to PyPI, and installing using pip. Watch this video if you want to share your code and make it easily installable for others.📚 Chapters00:00 Introduction00:34 Project Setup02:06 Configure and Build Package04:14 Local Testing05:53 Adding a CLI Entry Point07:36 Publish to PyPI10:01 Wrapping Up#pixegami #python
Amazon Bedrock Tutorial: Generative AI on AWS pixegami 2023-10-09 | Learn how to use Amazon Bedrock for generative AI (text and images) on AWS.This tutorial will guide you through the setup process, showing you how to generate text and images via code. You'll learn how to generate text with the Anthropic Claude model, and images with the Stable Diffusion model. All you need is an AWS account and the AWS CLI installed and configured.🔗 Code: github.com/pixegami/aws-bedrock-demo🔗 Get Started on AWS: youtu.be/LFCTFzcMQuA🔗 Amazon Bedrock: aws.amazon.com/bedrock📚 Chapters00:00 Introduction to Amazon Bedrock01:12 Setting Up Amazon Bedrock02:54 Text Playground03:41 Image Playground04:47 Generating Text with Code07:43 Generating Images with Code09:40 Amazon Bedrock Pricing12:13 Amazon Bedrock vs OpenAI#pixegami #aws
Python Requests Tutorial: HTTP Requests and Web Scraping pixegami 2023-10-03 | Learn how to install and use "requests", one of Python's most popular module by downloads and adoption.This step-by-step guide covers installation, making HTTP GET/POST requests, handling errors and timeouts, and scraping data from websites. It is important for Python developers who want to integrate their applications with external services and retrieve data from websites.👉 Links🔗 Requests: requests.readthedocs.io/en/latest🔗 Example Domain: example.com🔗 httpbin.org: httpbin.org📚 Chapters00:00 Introduction00:36 GET Request01:49 HTTP Status Codes02:33 Request Content03:22 POST Request04:54 Handling Errors07:17 Setting a Timeout09:27 HTTP Request Headers10:22 Web Scraping with BeautifulSoup12:38 Requests vs urllib#pixegami #python
How to Get Started with AWS • Crash Course pixegami 2023-09-25 | Learn how to get started with AWS in 30 minutes!You'll learn how to create an AWS account, configure IAM users, and use the AWS CLI and SDK. We'll also look at AWS CDK and see how we can use it to manage cloud infrastructure.👉 Links🔗 Project: github.com/pixegami/todo-list-api🔗 AWS Console: aws.amazon.com🔗 AWS Free Tier: aws.amazon.com/free🔗 AWS CLI: aws.amazon.com/cli🔗 Credential Provider Chain: docs.aws.amazon.com/sdkref/latest/guide/standardized-credentials.html#credentialProviderChain🔗 IAM Best Practices: docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html🔗 Node.js: nodejs.org/en🔗 AWS CDK: docs.aws.amazon.com/cdk/v2/guide/home.html📚 Chapters00:00 Introduction to AWS00:57 Example AWS Services05:51 AWS Pricing07:32 AWS Free Tier09:30 4 Ways to Use AWS10:26 Create an AWS Account11:40 How AWS Regions Work13:08 Creating an IAM User16:21 Using the AWS CLI19:11 Using the AWS SDK for Python20:47 Using AWS CDK25:37 Deploying a Serverless To-Do List27:16 Reference Architecture Diagrams#pixegami #aws
Pydantic Tutorial • Solving Pythons Biggest Problem pixegami 2023-09-18 | Learn how to use Pydantic in this short tutorial!Pydantic is the most widely used data validation library for Python. It lets you structure your data, gives you type-hints and auto-complete in your IDE, and helps to serialize to and from JSON. Learn how to use it in just 10 minutes!👉 Links🔗 Pydantic Docs: https://docs.pydantic.dev/🔗 Pydantic GitHub: github.com/samuelcolvin/pydantic📚 Chapters00:00 Python's Dynamic Typing Problem02:11 How To Use Pydantic05:04 Validating Data with Pydantic06:36 Custom Field Validation07:58 JSON Serialization08:49 Pydantic vs Dataclasses#pixegami #python
Python FastAPI Tutorial: Build a REST API in 15 Minutes pixegami 2023-09-11 | Learn how to install and build your first app with FastAPI (a high-performance web framework for Python).In this tutorial, you'll learn how to instal FastAPI, and use it to create a new app. Learn how to define routes, handle errors, use request and path parameters, validating data with Pydantic models, modelling responses, and how to use the interactive documentation.🔗 Code: github.com/pixegami/simple-fastapi-example🔗 FastAPI: fastapi.tiangolo.com📚 Chapters00:00 Why Use FastAPI?00:49 Install and Get Started with FastAPI02:22 GET and POST Routes05:27 Handling HTTP Errors06:48 JSON Request and Path Parameters10:38 Response Models11:42 Interactive Documentation13:31 FastAPI vs Flask#pixegami #fastapi
Host a Python Discord Bot on AWS Lambda (Free and Easy) pixegami 2023-09-04 | Learn how to create and host a Python Discord bot on AWS Lambda.In this tutorial, you'll learn how to create a Discord Bot using Discord's Interaction HTTP endpoints — and then host it for FREE on AWS Lambda. This is a super easy, cost-effective, and scalable way to host Discord bots.We'll be using Flask and Python for the Discord bot, and AWS CDK to deploy our Lambda infrastructure.🛠️ Code: github.com/pixegami/discord-bot-lambda👉 Links🔗 Discord Developer Portal: discord.com/developers/applications🔗 AWS CDK: docs.aws.amazon.com/cdk/v2/guide/home.html🔗 Running Docker on Lambda: youtu.be/wbsbXfkv47A📚 Chapters00:00 Introduction02:40 Set Up Discord Bot04:13 Register Bot Commands07:21 Creating Bot Endpoints10:38 Token Validation13:02 Create Docker Image16:04 Deploying with AWS CDK21:15 Wrapping Up
My MacOS Terminal Setup for HIGH Productivity pixegami 2023-08-28 | This is an AWESOME set-up that helps me be a more productive developer with Python.Starship enhances your prompt bar, Fish provides auto suggestions and syntax highlighting, and Warp offers an enhanced editing experience. 🔗 GitHub: github.com/pixegami/mac-terminal🔗 Starship: https://starship.rs🔗 Nerd Fonts: nerdfonts.com🔗 Fish Shell: fishshell.com🔗 Warp: https://warp.dev📚 Chapters00:00 Custom Terminal Overview02:15 Starship Prompt04:30 Fish Shell06:07 Warp Terminal
How to Run a Python Docker Image on AWS Lambda pixegami 2023-08-21 | Learn how to run a Python Docker image on AWS Lambda using Lambda container images.Using Docker containers for your Python app on AWS Lambda means you can create a special environment for your app with its own tools and settings, making sure it works everywhere, and also making it easy to include all the things (libraries and packages)your app needs to run correctly.🛠️ Project Code: github.com/pixegami/aws-lambda-docker🔗 LinksLambda Base Images: docs.aws.amazon.com/lambda/latest/dg/images-create.html#runtimes-images-lpAWS CLI: aws.amazon.com/cliAWS CDK: docs.aws.amazon.com/cdk/v2/guide/home.htmlDocker: docker.com📚 Chapters00:00 Why run Docker on AWS Lambda?01:04 Create CDK Project01:45 Create a Python handler app04:07 Create Dockerfile for Lambda06:23 Test the Docker image locally07:11 Create AWS Docker Lambda with CDK09:44 Deploying to AWS11:59 Wrapping up#pixegami #aws
How To Use GitHub Actions • Automate Your AWS Deployments pixegami 2023-08-07 | Learn how to automate your code deployments with GitHub actions.In this project, I'll show you how to use GitHub actions to automate the deployment (CI/CD) of an AWS project. The project is a simple Python API hosted on AWS Lambda (managed with AWS CDK).We'll learn how to set up a simple GitHub action workflow to deploy the project to our AWS account on each commit. We'll also look at how to add a version number that increments automatically with each commit, and how to cache workflow steps (so we don't have to do the same things over and over again).🔗 LinksProject Code: github.com/pixegami/aws-cicd-tutorialGitHub Actions: github.com/features/actionsAWS CLI: aws.amazon.com/cliAWS CDK: docs.aws.amazon.com/cdk/v2/guide/home.html📚 Chapters00:00 Introduction00:38 What is CICD?01:51 Create an AWS CDK Project05:46 Create GitHub Actions Workflow for CDK Deploy10:18 Automate Version Bump with Git Hooks12:42 Caching Workflow Steps14:35 Deploy a Major Infrastructure Update
Stripe & Firebase Tutorial • Add Payments To Your NextJS App pixegami 2023-08-01 | Want to collect monthly payments from your app or online business?In this project, we will implement a monthly subscription payment system for our NextJS web app. We'll be using Stripe as our payment processor, and integrate it with Google Firebase for user authentication.🛠️ GitHub/Code: github.com/pixegami/stripe-firebase-app👉 Tech Stack🔗 Firebase: firebase.google.com🔗 Stripe: stripe.com🔗 NextJS: nextjs.org🎬 Chapters00:00 Introduction01:52 Project Architecture04:04 Authentication With Firebase12:27 Setting Up Stripe For Payments21:51 Adding a Checkout Session29:17 How To Check Subscription Status32:18 Adding Stripe Account Management34:47 Wrapping Up
Learn Python • #12 Final Project • Build an Expense Tracking App! pixegami 2023-04-07 | In the final project of this Python beginner course, we'll build a personal expense tracking app from scratch.With this app, you'll learn how to get expense data from a user (via the terminal), save and categorize that expense into a spreadsheet. This project will take about an hour, and will test all of the Python skills you've learnt so far.You'll learn how to plan, structure and implement a project all the way from an idea to a finished product — as well as seeing how you can solve new and unexpected problems.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Introduction02:55 - Project Specs: Expense Tracker06:30 - Create an "Expense" Class07:55 - Main Project Structure13:27 - Getting User Expenses30:58 - Saving Expenses to a File36:14 - Summarise All Expenses43:54 - Group Expense By Category49:07 - Track Remaining Budget56:46 - Wrapping Up
Learn Python • #11 Classes • Create and Use Classes in Python pixegami 2023-04-06 | Classes are like a blueprint for creating your own reusable data structures in Python. They allow you to define your own custom data types, with properties and methods that can be accessed and manipulated from other parts of your code. In this video, you'll learn the basics of creating and using classes in Python. We'll cover why classes are useful, how to define them, and how to create instances of classes. This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Soon!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Introduction to Classes in Python01:33 - How to Create a Class04:53 - Creating an "Instance" of a Class08:40 - Instance Methods10:49 - Method Arguments12:38 - Static Variables15:30 - Static Methods19:15 - Example Uses of Classes20:53 - Coding Exercise: Classes
Learn Python • #10 User Input • 4 Ways To Get Input From Your User pixegami 2023-04-05 | If you want users to interact with your Python app, you'll need some way to get their input.In this video, you'll learn 4 different ways your Python app can get input from the outside world — directly from the terminal, from a command line, from a file on your computer, and over the internet.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Soon!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Different Ways to Get User Input02:24 - Using the input() Function05:25 - Getting CLI Input08:20 - Reading and Writing from Files11:35 - Rest APIs (Talking To Other Apps)14:20 - Coding Exercise: User Input
Learn Python • #9 Functions • Pythons Most Important Concept? pixegami 2023-04-04 | Functions are a fundamental building block of programming in Python. They allow you to package code into a named, reusable unit that can be called from other parts of your program. In this video, you'll learn how to define a function, pass in arguments, and return values.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Introduction to Functions in Python01:01 - Creating a Function03:28 - Input Arguments08:57 - Multiple Arguments10:43 - Positional Arguments11:40 - Keyword Arguments13:34 - Optional Arguments15:46 - Common Mistakes With Functions21:03 - What is "Abstraction"?23:42 - Coding Exercise: Functions
Learn Python • #8 Tuples and Sets • More Ways To Store Data! pixegami 2023-04-03 | Tuples and Sets are two important data structures in Python that you'll definitely want to know about.Tuples are immutable sequences of elements, typically used for grouping related data. Sets, on the other hand, are mutable collections of unique elements. With Sets, it's easy to check if an item is inside that collection. It's also easy to do mathematical operations like "intersection" (finding common elements between two sets) and "union" (finding all elements of two combined sets).This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Tuples vs Lists01:58 - Tuple Syntax in Python03:36 - Hands-on Coding with Tuples05:45 - Using Tuples as a Dict Key08:02 - Sets in Python14:28 - Coding Exercise: Tuples and Sets
Learn Python • #7 Dictionaries • The Most Useful Data Structure? pixegami 2023-04-02 | Dictionaries are a data structure that store key-value pairs, and is quite possibly the most useful data structure in Python.Dictionaries allowing for fast and efficient data retrieval. We'll cover how to create and manipulate dictionaries, as well as common methods for iterating through them. You'll also learn how you can use dictionaries to represent real objects (e.g. like a shoe), and how to turn that data into a format that you can send over the internet to other apps (JSON serialization).This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Dictionaries vs List03:42 - How to Use a Dictionary05:03 - Adding, Updating and Removing items12:03 - Dictionary Built-In Methods13:15 - Looping Through a Dictionary14:58 - Dictionary as Objects16:45 - JSON Serialization19:12 - Coding Exercise: Dictionaries
Learn Python • #6 Loops • How to Repeat Code Execution pixegami 2023-04-01 | Loops in Python will let you run the same code over and over again.This is useful when working with lists, or if you have something that you want to execute for a certain number of times. In this tutorial, you'll learn why loops are such an important programming concept, and how you can use them in Python. You'll learn how to loop through every item in a list, or loop for a fixed number of times. You'll also learn how to break early out of a loop, or how to short-circuit a loop execution to "continue" to the next iteration of a loop.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Introduction to Loops in Python00:40 - Using "for" Loops04:00 - Using enumerate()04:58 - Looping X Times ("for in range")07:13 - Using "while Loops09:00 - How to "break" a loop10:53 - How to "continue" a loop13:17 - List Comprehensions15:00 - Coding Exercise: Loops
Learn Python • #5 Lists • Storing Collections of Data pixegami 2023-03-31 | In Python, you can use "lists" to store collections of data. You can add/remove items from a list, check if items are in a list, or even sort and reverse a list. The "list" (also known as an array or a vector in some other coding languages) is the first data structure you'll learn about in this series—yet it will remain one of the most useful and important concepts you'll rely on throughout your coding journey.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: youtu.be/ZPSES_gtm5U👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Introduction to Lists02:35 - Hands-on Coding with Lists04:41 - 2D Lists06:42 - Add / Remove Items from Lists13:08 - Other Lists Methods18:43 - Coding Exercise: Lists
Learn Python • #4 Conditions • If / Else Statements pixegami 2023-03-30 | Conditions (if/else statements) in Python let you control the flow of your program based on a set of rules.By using if/else statements, you can create decision-making processes in your code that allow it to do different things depending on whether certain conditions are true or false. This is how you can create programs that can respond to user input and other dynamic situations.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - "if" in Python03:05 - "else" in Python04:43 - "elif" in Python06:52 - Inline Boolean Expressions09:01 - Coding Exercise: Conditions
Learn Python • #3 Operators • Add, Subtract and More... pixegami 2023-03-29 | Logical and arithmetic operators in Python allows you to manipulate data and variables in your application.You can use them to add, subtract, multiply and divide numbers. You can also use logical operators, like "and, or, not" with boolean (True/False) values to create more complex logic in your application.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - What are operators?00:29 - Arithmetic Operators04:29 - Assignment Operators06:50 - Comparison Operators09:25 - Logical Operators14:48 - Coding Exercise: Operators
Learn Python • #2 Variables and Data Types • Pythons Building Blocks pixegami 2023-03-28 | Variables and data-types are the foundational building blocks of your Python code. They will let you store any type of data, and allow you to refer to it later on when you need to do something with it. Learn all about them in this quick tutorial.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Using Variables in Python05:20 - Good vs Bad Variable Names08:48 - Data Types in Python11:08 - Using print() in Python14:38 - Coding Exercise: Variables
Learn Python • #1 Installation and Setup • Get Started With Python! pixegami 2023-03-27 | Learn how to install and run Python (on Windows/Mac/Linux) so you can get started on your learning journey. Python is a versatile programming language, and is an ideal first language for anyone who wants to learn.This video is part of a beginner tutorial series for anyone who wants to learn Python from scratch, and get to a point where you can start coding your own projects.🔗 Download Python: python.org/downloads🔗 Project Code (GitHub): github.com/pixegami/python-for-beginners🔗 Full Playlist: youtube.com/playlist?list=PLZJBfja3V3Rsbiz84Z63IXnTQZH_Rnfuo🔗 Next Chapter: Coming Tomorrow!👉 Follow me on Twitter: @pixegami📚 Chapters00:00 - Install Python01:42 - Run the Python Interpreter03:34 - Install VSCode04:20 - Write and Run a Python Script07:46 - How To Get Help
