Developer

Developer

Sean Robertson

Sean Robertson

1686291345

Full-Stack Web Application with Svelte, Postgres, Vercel and Gitpod

Full Stack Web Development in the Cloud Course - Svelte, Postgres, Vercel, Gitpod

In this tutorial for beginners, you will learn how to develop a full-stack web application entirely in your browser using Gitpod (https://www.gitpod.io/). You will build the app with Svelte and Postgres. From creating a new repository to deploying to production, we will write and discuss every line of code.

This course covers everything from creating a new repository to deploying to production, and you will learn the reason for every line of code. The Svelte JavaScript framework is used for the frontend with Postgres as the database. The app is deployed using Vercel and Railway.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:08:51) What you will learn
⌨️ (0:12:07) Gitpod developer environment
⌨️ (0:13:33) Project Overview: A todo app
⌨️ (0:16:33) Architecture
⌨️ (0:20:39) Initialize the application
⌨️ (0:40:12) Intro to SvelteKit
⌨️ (0:55:31) Configure Gitpod
⌨️ (1:32:07) Develop HTML structure
⌨️ (1:53:46) Apply CSS styles
⌨️ (2:44:32) Develop CRUD endpoints: GET and POST
⌨️ (3:31:54) DELETE
⌨️ (4:16:45) PATCH - Edit Text
⌨️ (4:33:22) PATCH - Mark as Done
⌨️ (4:48:41) Enhance HTML forms
⌨️ (5:40:56) Install & start the dev database
⌨️ (5:50:33) Use Prisma ORM
⌨️ (6:26:32) Update API to use Prisma
⌨️ (6:47:58) Deploy Database on Railway
⌨️ (7:03:33) Deploy web app & API on Vercel
⌨️ (7:12:28) Project review
⌨️ (7:16:14) What's next?
⌨️ (7:19:22) Wrap up

📝 Code: https://github.com/gitpod-io/full-stack-web-development 

💻 The technology stack for this course includes:
💿 Svelte (https://svelte.dev/)
💿 SvelteKit (https://kit.svelte.dev/)
💿 Prisma (https://www.prisma.io/)
💿 Postgres (https://www.postgresql.org/)
💿 Vercel (https://vercel.com/)
💿 Railway (https://railway.app/) 

Closed captions for this video were provided by Primsa. You can get free captions for your own videos that feature Prisma here: https://pris.ly/closedcaptions

#svelte #postgres #vercel #gitpod #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

Full-Stack Web Application with Svelte, Postgres, Vercel and Gitpod
Billy Chandler

Billy Chandler

1686283285

AI Healthcare Imaging with Python, PyTorch and Monai

PyTorch and Monai for AI Healthcare Imaging - Python Machine Learning Course

Learn how to use PyTorch, Monai, and Python for computer vision using machine learning. One practical use-case for artificial intelligence is healthcare imaging. In this course, you will improve your machine learning skills by creating an algorithm for automatic liver segmentation.

Learn how to use PyTorch, Monai, and Python for 3D liver segmentation. You will use machine learning and computer vision to find tumors in livers.

⭐️ Course Content ⭐️
(0:00:00) Introduction
(0:02:11) What is U-Net
(0:13:21) Software Installation
(0:22:35) Finding the Datasets
(0:35:11) Preparing the Data
(2:49:08) Installing the Packages
(3:03:56) Preprocessing
(3:50:14) Errors you May Face
(4:12:06) Dice Loss
(4:21:44) Weighted Cross Entropy
(4:33:09) The Training Part
(4:50:04) The Testing Part
(5:01:50) Using the GitHub Repository

💻 Code: https://github.com/amine0110/Liver-Segmentation-Using-Monai-and-PyTorch

#python #pytorch #monai #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #morioh #softwaredeveloper #computerscience 

AI Healthcare Imaging with Python, PyTorch and Monai
Joel  Hawkins

Joel Hawkins

1686283089

Create User Interfaces for Machine Learning Models with Gradio

Gradio Course - Create User Interfaces for Machine Learning Models

Gradio is a Python library that makes it super easy for machine learning engineers to create user interfaces. This complete course coverw all aspects of Gradio, including deployment.

⭐️ Course Contents ⭐️
💻 (0:00:20) Welcome to this ML App Course
💻 (0:03:15) What's the problem with current ML prototyping  
💻 (0:14:08) What's Gradio & Advantages of Gradio    
💻 (0:26:05) Getting started with Gradio        
💻 (0:35:15) Gradio Components        
💻 (0:46:52) Gradio Multiple inputs        
💻 (1:04:08) Debugging & Flagging        
💻 (1:13:58) Improving UI + UX        
💻 (1:29:36) Gradio Sharing + Auth        
💻 (1:38:04) Deploying DL Gradio App  with Hugging Face Spaces        
💻 (1:50:10) Course Finish-up Summary

#gradio #python #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #morioh #softwaredeveloper #computerscience 

Create User Interfaces for Machine Learning Models with Gradio
React Tutorial

React Tutorial

1686282972

Learn React by Building 8 Real-World Projects and Solving 140+ Coding Challenges

React Course - Beginner's Tutorial for React JavaScript Library

Learn React by building eight real-world projects and solving 140+ coding challenges. 

React is one of the most popular front-end JavaScript libraries for building user interfaces. After completing this course, you will be able to build web apps in modern React, using patterns like functional components and hooks.

Code is available on the Scrimba course page for each lesson.

0:00 Introduction
5:27 What we’ll learn
7:03 Fun facts about react link: https://www.figma.com/file/xA1rJVQOorqMW6xjGdBLcI/ReactFacts?node-id=0%3A1 
9:08 First react
https://reactjs.org/docs/cdn-links.html 
17:13 First React Practice 
19:04 Local Setup (the quick way)
21:03 Why React?
30:38 JSX
40:19 Goodbye, CDNs!
44:27 Thought Experiment
49:57 Project 1 Part 1 - MarkUp
57:44 Pop Quiz!
59:55 Components
1:33:07 Setup a local React environment w/ Create React App
1:33:53 Babel, Bundler, Build
1:34:47 Create React app: https://create-react-app.dev/ 
1:35:56 How to install Node.js
1:36:06 Use nvm or nvm-windows
1:36:33 How to install Node.js
1:41:30 Styles and images with CRA
https://create-react-app.dev/docs/adding-images-fonts-and-files/ 
https://create-react-app.dev/docs/using-the-public-folder/ 
1:46:03 Quick Mental Outline of Project 
1:50:00 Quick Figma Walkthrough
https://www.youtube.com/watch?v=ybc2gkvjMDs&feature=youtu.be 
1:51:43 Project Setup
https://www.figma.com/file/xA1rJVQOorqMW6xjGdBLcI/ReactFacts?node-id=0%3A1 
1:59:00 Navbar and Styling 
2:06:18 Main Section
2:14:04 Color The Bullets
2:16:30 Add Background Logo
2:20:50 Section 1 Solo Project
2:22:23 Digital Business Card https://scrimba.com/links/figma-digital-business-card-sp 
2:24:05 Share your work https://scrimba.com/links/solo-project-tweet https://scrimba.com/links/discord-i-built-this 
2:24:45 Section 1 Recap 
https://scrimba.com/links/discord-today-i-did 

Build an AirBnb Experiences Clone
2:27:26 Section intro & Figma File 
https://scrimba.com/links/figma-airbnb-experiences
2:31:40 Project Setup: NavBar & Hero
2:43:11 Project Card Component
2:50:32 Problem - Not Reusable
2:52:29 Props
3:18:42 Prop Quiz (Get it?)
3:23:10 Destructuring Props
3:27:05 Props practice
3:36:12 Passing in non-string Props
3:40:11 Project: Pass props to component
3:47:08 Review - Array.map()
3:55:37 React render array
4:00:10 Mapping Components
4:04:46 Map Quiz
4:08:26 Loading Images from .map()
4:10:02 Projects
4:32:34 Spread objects as props
4:36:30 Section 2 solo project
4:37:14 Travel journal: https://scrimba.com/links/figma-travel-journal-sap
4:39:24 Share your work
4:39:52 Section 2 recap

Build a Meme Generator
4:41:37 Section into and figma file
https://scrimba.com/links/figma-meme-generator
4:45:48 Meme Generator: Header & Form
4:57:13 Project Analysis
4:58:20 Event Listeners
5:04:31 Project: Get random meme
5:10:15 Our current conundrum
5:18:26 Props vs. State
5:32:13 useState
5:37:57 Changing State
5:41:03 useState - Counter Practice
5:45:51 useState - Changing state with a callback Function
5:51:12 hanging State Quiz!
5:53:44 Project: Assign images to the meme generator
5:56:43 Challenge: Ternary Practice & flipping State back and forth
6:06:37 Complex State
6:27:46 Project: Refactor State
6:31:59 Passing state as props
6:37:54 Setting state from child components
6:44:25 Passing data around
6:50:53 Boxes Challenge
7:28:46 Conditional Rendering
7:48:49 React forms intro
7:52:17 Watch for input changes in React
7:56:49 Form inputs practice
7:59:13 Forms state object
8:07:18 Controlled inputs
8:11:35 Forms in React
8:47:04 Project: add text to image
8:51:05 Making API Calls
8:55:08 Intro to useEffect 
https://reactjs.org/docs/hooks-effect.html
9:00:54 useEffect()
9:24:46 Project:get memes from API
9:33:00 State and Effect Practices
9:40:05 useEffect cleanup function
9:46:00 Using an sync function inside useEffect
9:49:14 Section3 recap

Build a Notes app and Tenzies Game
9:51:34 Section 4 Intro
https://scrimba.com/links/figma-reactfacts-light-dark 
https://scrimba.com/links/figma-tenzies-game 
9:54:09 Warm-up:Add Dark/Light modes to ReactFacts Site
10:00:50 Notes App Intro
10:10:47 Notes App Development
10:44:17 Tenzies Project Intro
https://scrimba.com/links/figma-tenzies-game 
10:45:38 Tenzies Setup & Game Development
11:24:35 Hold dice part 3
11:28:39 End game
https://github.com/alampros/react-confetti#readme 
11:40:31 Tenzies: New Game & Extra Credit ideas
11:44:15 Section 4 Solo Project
11:45:53 quiz https://scrimba.com/links/figma-quizzical 
11:47:26 OTDB API  https://opentdb.com/api_config.php 
Check out the class components crash course: https://scrimba.com/playlist/pBpayAz 
11:49:32 Congrats on completing Module 1!

#react #reactjs #javascript #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

Learn React by Building 8 Real-World Projects and Solving 140+ Coding Challenges
Joel  Hawkins

Joel Hawkins

1686217685

Computer Vision and Perception for Self-Driving Cars

Computer Vision and Perception for Self-Driving Cars (Deep Learning Course)

Learn about Computer Vision and Perception for Self Driving Cars. This series focuses on the different tasks that a Self Driving Car Perception unit would be required to do.

An important use for computer vision and deep learning is self driving cars. Perception and Computer Vision forms about 80% of the work that Self Driving Cars do to drive around. If you want to improve your deep learning skills, this is a great topic to learn about.

Sakshay Mahna created this course. Sakshay is a machine learning engineer and an excellent teacher.

This course focuses on the different tasks that a Self Driving Car Perception unit would be required to do. All the projects here involve Deep Learning, which is a crucial component of Computer Vision.

You will use real-world data and popular deep learning techniques to create your own algorithms for perception.

Here are the topics you will learn about in this course.

  • Fully Convolutional Network for Road Segmentation
  • YOLO for 2D Object Detection
  • Deep SORT for Object Tracking
  • KITTI 3D Data Visualization for Homogenous Transformations
  • Multi Task Attention Network (MTAN) for Multi Task Learning
  • SFA 3D for 3D Object Detection
  • UNetXST for Camera to Bird's Eye View

⭐️ Course Contents and Links ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:02:16) Fully Convolutional Network | Road Segmentation
  🔗 Kaggle Dataset: https://www.kaggle.com/sakshaymahna/kittiroadsegmentation 
  🔗 Kaggle Notebook: https://www.kaggle.com/sakshaymahna/fully-convolutional-network 
  🔗 KITTI Dataset: http://www.cvlibs.net/datasets/kitti/ 
  🔗 Fully Convolutional Network Paper: https://arxiv.org/abs/1411.4038 
  🔗 Hand Crafted Road Segmentation: https://www.youtube.com/watch?v=hrin-qTn4L4 
  🔗 Deep Learning and CNNs: https://www.youtube.com/watch?v=aircAruvnKk 
⌨️ (0:20:45) YOLO | 2D Object Detection
  🔗 Kaggle Competition/Dataset: https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles 
  🔗 Visualization Notebook: https://www.kaggle.com/sakshaymahna/lyft-3d-object-detection-eda 
  🔗 YOLO Notebook: https://www.kaggle.com/sakshaymahna/yolov3-keras-2d-object-detection 
  🔗 Playlist on Fundamentals of Object Detection: https://www.youtube.com/playlist?list=PL_IHmaMAvkVxdDOBRg2CbcJBq9SY7ZUvs 
  🔗 Blog on YOLO: https://www.section.io/engineering-education/introduction-to-yolo-algorithm-for-object-detection/ 
  🔗 YOLO Paper: https://arxiv.org/abs/1506.02640 
⌨️ (0:35:51) Deep SORT | Object Tracking
  🔗 Dataset: https://www.kaggle.com/sakshaymahna/kittiroadsegmentation 
  🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/deepsort/notebook 
  🔗 Blog on Deep SORT: https://medium.com/analytics-vidhya/object-tracking-using-deepsort-in-tensorflow-2-ec013a2eeb4f 
  🔗 Deep SORT Paper: https://arxiv.org/abs/1703.07402 
  🔗 Kalman Filter: https://www.youtube.com/playlist?list=PLn8PRpmsu08pzi6EMiYnR-076Mh-q3tWr 
  🔗 Hungarian Algorithm: https://www.geeksforgeeks.org/hungarian-algorithm-assignment-problem-set-1-introduction/ 
  🔗 Cosine Distance Metric: https://www.machinelearningplus.com/nlp/cosine-similarity/ 
  🔗 Mahalanobis Distance: https://www.machinelearningplus.com/statistics/mahalanobis-distance/ 
  🔗 YOLO Algorithm: https://youtu.be/C3qmhPVUXiE 
⌨️ (0:52:37) KITTI 3D Data Visualization | Homogenous Transformations
  🔗 Dataset: https://www.kaggle.com/garymk/kitti-3d-object-detection-dataset 
  🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/lidar-data-visualization/notebook 
  🔗 LIDAR: https://geoslam.com/what-is-lidar/ 
  🔗 Tesla doesn't use LIDAR: https://towardsdatascience.com/why-tesla-wont-use-lidar-57c325ae2ed5 
⌨️ (1:06:45) Multi Task Attention Network (MTAN) | Multi Task Learning
  🔗 Dataset: https://www.kaggle.com/sakshaymahna/cityscapes-depth-and-segmentation 
  🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/mtan-multi-task-attention-network 
  🔗 Data Visualization: https://www.kaggle.com/sakshaymahna/exploratory-data-analysis 
  🔗 MTAN Paper: https://arxiv.org/abs/1803.10704 
  🔗 Blog on Multi Task Learning: https://ruder.io/multi-task/ 
  🔗 Image Segmentation and FCN: https://youtu.be/U_v0Tovp4XQ 
⌨️ (1:20:58) SFA 3D | 3D Object Detection
  🔗 Dataset: https://www.kaggle.com/garymk/kitti-3d-object-detection-dataset 
  🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/sfa3d 
  🔗 Data Visualization: https://www.kaggle.com/sakshaymahna/l... 
  🔗 Data Visualization Video: https://youtu.be/tb1H42kE0eE 
  🔗 SFA3D GitHub Repository: https://github.com/maudzung/SFA3D 
  🔗 Feature Pyramid Networks: https://jonathan-hui.medium.com/understanding-feature-pyramid-networks-for-object-detection-fpn-45b227b9106c 
  🔗 Keypoint Feature Pyramid Network: https://arxiv.org/pdf/2001.03343.pdf 
  🔗 Heat Maps: https://en.wikipedia.org/wiki/Heat_map 
  🔗 Focal Loss: https://medium.com/visionwizard/understanding-focal-loss-a-quick-read-b914422913e7 
  🔗 L1 Loss: https://afteracademy.com/blog/what-are-l1-and-l2-loss-functions 
  🔗 Balanced L1 Loss: https://paperswithcode.com/method/balanced-l1-loss 
  🔗 Learning Rate Decay: https://medium.com/analytics-vidhya/learning-rate-decay-and-methods-in-deep-learning-2cee564f910b 
  🔗 Cosine Annealing: https://paperswithcode.com/method/cosine-annealing 
⌨️ (1:40:24) UNetXST | Camera to Bird's Eye View
  🔗 Dataset: https://www.kaggle.com/sakshaymahna/semantic-segmentation-bev 
  🔗 Dataset Visualization: https://www.kaggle.com/sakshaymahna/data-visualization 
  🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/unetxst 
  🔗 UNetXST Paper: https://arxiv.org/pdf/2005.04078.pdf 
  🔗 UNetXST Github Repository: https://github.com/ika-rwth-aachen/Cam2BEV 
  🔗 UNet: https://towardsdatascience.com/understanding-semantic-segmentation-with-unet-6be4f42d4b47 
  🔗 Image Transformations: https://kevinzakka.github.io/2017/01/10/stn-part1/ 
  🔗 Spatial Transformer Networks: https://kevinzakka.github.io/2017/01/18/stn-part2/ 

#datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #morioh #softwaredeveloper #computerscience 

Computer Vision and Perception for Self-Driving Cars

How to Build React Apps using TypeScript

React & TypeScript - Course for Beginners

Learn how to build React apps using TypeScript. First, learn the basics of TypeScript. Then, learn how to integrate TypeScript in a React app by building an awesome project. You will learn how to use TypeScript with React Hooks such as useState, useRef, and useReducers. You will also learn how to pass props from one component to another by defining prop types of the component. And you will learn much more!

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:00:31) Typescript vs Javascript
⌨️ (0:00:57) Project Overview
⌨️ (0:02:27) Setup React Typescript Project
⌨️ (0:04:57) Basic Types in Typescript
⌨️ (0:07:30) Object Type
⌨️ (0:09:03) Optional Field in Objects
⌨️ (0:09:20) Array of Object Type
⌨️ (0:09:55) Union Type
⌨️ (0:10:25) Function Types
⌨️ (0:12:06) Any Type
⌨️ (0:12:35) unknown and never Type
⌨️ (0:12:52) Aliases ( type and interface )
⌨️ (0:14:36) Extending types
⌨️ (0:15:53) Extending interface
⌨️ (0:16:28) Extending Classes
⌨️ (0:16:45) Extending type with interface ( and vice versa )
⌨️ (0:17:22) React with Typescript
⌨️ (0:18:22) Functional Component type
⌨️ (0:19:19) Creating Input UI
⌨️ (0:26:22) useState Hook with Typescript
⌨️ (0:27:39) PropTypes - Passing props to component
⌨️ (0:30:34) Reusable todo interface
⌨️ (0:33:01) Passing function as props
⌨️ (0:34:14) Event Type in Typescript
⌨️ (0:35:20) Create Todo Logic
⌨️ (0:37:54) useRef Hook with Typescript
⌨️ (0:40:41) TodoList Component
⌨️ (0:45:27) Passing props to SingleTodo
⌨️ (0:47:14) SingleTodo Component
⌨️ (0:52:23) Todo Complete Functionality
⌨️ (0:54:56) Delete Todo Functionality
⌨️ (0:55:55) Edit Todo Functionality
⌨️ (1:02:05) Edit Bug Fix
⌨️ (1:03:23) useReducer Hook with Typescript
⌨️ (1:07:11) Homework for you
⌨️ (1:07:26) Building App UI for Drag and Drop
⌨️ (1:13:13) React Beautiful DnD Installation
⌨️ (1:14:00) completedTodos State
⌨️ (1:15:21) DragDropContext
⌨️ (1:16:42) Droppable Tag
⌨️ (1:20:46) Draggable Tag
⌨️ (1:23:21) onDragEnd Logic
⌨️ (1:30:05) Drag and Drop Styling
⌨️ (1:32:36) Outro

💻 Code: https://github.com/piyush-eon/react-typescript-taskify 

🔗 Live Site: https://taskify-typescript.netlify.app/ 

🔗 Typescript Docs: https://www.typescriptlang.org/d ocs/handbook/2/basic-types.html

#react #typescript #javascript #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

How to Build React Apps using TypeScript
Kapil Khanal

Kapil Khanal

1686215594

How to Create Games in Unreal Engine 5

Unreal Engine 5 - Beginner's Tutorial (with Blueprint)

This course will teach you how to create games in Unreal Engine 5. The course covers the Blueprint Visual Scripting system which is a complete gameplay scripting system based on the concept of using a node-based interface to create gameplay elements from within Unreal Editor.

⭐️ Course Contents ⭐️
⌨️ Blueprints in Unreal Engine
⌨️ Basics of Unreal Engine 5
⌨️ UI/UX
⌨️ Win/Loss events
⌨️ Basic Level design

#unrealengine #gamedev #gamedevelopment #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience 

How to Create Games in Unreal Engine 5

Create Your Own Design System with CSS

Create a Design System with CSS - Web Development Course

Learn how to create your own design system while building a Space Travel Website with CSS guru Kevin Powell. 

In this course you will first learn how to build your own design system and then learn how to implement the entire website with the design system using CSS, HTML, and JavaScript.

At the end, you will have a neat project to add your portfolio in addition to have sharpened your CSS and design skills.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) The design system
⌨️ (2:04:12) The homepage
⌨️ (3:02:25) Navigation
⌨️ (4:17:48) The destination page
⌨️ (5:29:33) The tabs

💻 Code on GitHub: https://github.com/kevin-powell/space-tourism

#css #html #javascript #designsystem #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

Create Your Own Design System with CSS

Learn JavaScript by Building 7 Games - Full Course

Learn JavaScript by Building 7 Games - Full Course

Learn JavaScript by building 7 retro games.

One of the best ways to learn JavaScript is to create projects. One of the best and funnest ways is to create games.

You will learn how to create clones of the following games:

Rock Paper Scissors

giphy--5-

Scissors-scissors-scissors.


Memory Game

giphy--6-

Dancing brain.


Whac-a-mole

giphy--7-

Kitten plays whack-a-mole.


Breakout

BeautifulLoathsomeDragon-size_restricted

Breakout game.


Frogger

giphy--4-

Original Frogger game.


Connect Four

giphy--8-

Falling pieces.


Space Invaders

giphy--9-

Retro space invaders.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:56) Rock Paper Scissors
⌨️ (0:18:42) Memory Game
⌨️ (1:04:37) Whac-a-mole
⌨️ (1:30:39) Breakout
⌨️ (2:31:10) Frogger
⌨️ (3:40:02) Connect Four
⌨️ (4:08:23) Space Invaders

💻 GitHub Links:
Rock Paper Scissors: https://github.com/kubowania/rock-paper-scissors-x3 
Memory Game: https://github.com/kubowania/memory-game 
Whac-a-mole: https://github.com/kubowania/whac-a-mole 
Breakout: https://github.com/kubowania/breakout 
Frogger: https://github.com/kubowania/Frogger 
Connect Four: https://github.com/kubowania/connect-four 
Space Invaders: https://github.com/kubowania/space-invaders

#javascript #gamedev #gamedevelopment #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience 

Learn JavaScript by Building 7 Games - Full Course
Meggie  Flatley

Meggie Flatley

1686208583

Create a Blog with HTML & CSS - Frontend Development Project

Frontend Development Course - Create a Blog with HTML & CSS

Improve your HTML and CSS skills by creating a blog in this frontend development course.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro & demo
⌨️ (0:04:24) Setup
⌨️ (0:05:56) Header - HTML
⌨️ (0:14:58) Base - CSS
⌨️ (0:25:51) Header - CSS
⌨️ (0:35:15) JavaScript events
⌨️ (0:49:30) Search bar - HTML
⌨️ (0:52:18) Search bar - CSS
⌨️ (0:58:57) JavaScript events continued
⌨️ (1:03:15) Featured articles - HTML
⌨️ (1:08:37) Featured articles - CSS
⌨️ (1:29:20) Quick read - HTML
⌨️ (1:34:59) Quick read - CSS
⌨️ (1:38:20) SwiperJS
⌨️ (1:43:43) Older posts - HTML
⌨️ (1:47:41) Older posts - CSS
⌨️ (1:51:34) Popular tags - HTML
⌨️ (1:55:20) Popular tags - CSS
⌨️ (1:58:04) Newsletter - HTML
⌨️ (2:01:25) Newsletter - CSS
⌨️ (2:02:29) Footer - HTML
⌨️ (2:09:23) Footer - CSS
⌨️ (2:15:17) Blog post - HTML
⌨️ (2:24:22) Blog post - CSS
⌨️ (2:32:42) Media queries

💻 Code: https://github.com/jlop007/FreeCodeCamp-NewsFlash 

🔗 Remix icons: https://remixicon.com/ 
🔗 SwiperJS: https://swiperjs.com/

#html #css #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

Create a Blog with HTML & CSS - Frontend Development Project

Learn HTML for Beginners – Full Course

Learn HTML – Full Tutorial for Beginners 

Learn HTML in this complete course for beginners. This is an all-in-one beginner tutorial to help you learn web development skills. This course teaches HTML5.

HTML is the backbone of every website on the internet. If you want to get into web development, learning HTML is the place to start.

This full HTML5 course is a great place to begin your journey towards learning web development. Think of this course like a video textbook with 10 clearly defined chapters.

html-intro

HTML creates the structure of a website.

⭐️ Course Contents ⭐️
(00:00:00) Intro 
(00:00:55) Chapter 1 - Getting Started
(00:20:13) Chapter 2 - Head Element
(00:29:02) Chapter 3 - Text Basics 
(00:49:45) Chapter 4 - List Types
(00:59:55) Chapter 5 - Add Links 
(01:30:38) Chapter 6 - Add Images
(02:00:58) Chapter 7 - Semantic Tags 
(02:24:53) Chapter 8 - Create Tables 
(02:40:42) Chapter 9 - Forms & Inputs 
(03:25:16) Chapter 10 - HTML Project

💻 Code: https://github.com/gitdagray/html_course

#html #html5 #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

Learn HTML for Beginners – Full Course

Learn Python - Crash Course for Beginners

Python Tutorial for Beginners

Learn the Python programming language in this beginner's crash course. You will learn everything from system set up to basic syntax to working with API's.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro

*system set up*
⌨️ (0:01:11) Installation
⌨️ (0:06:16) Python Interpreter
⌨️ (0:09:57) Text Editor
⌨️ (0:15:43) Git: supporting docs

*coding*
⌨️ (0:19:30) Numbers
⌨️ (0:29:46) Strings
⌨️ (0:42:43) Lists
⌨️ (0:53:47) Tuples
⌨️ (1:03:04) Sets
⌨️ (1:10:29) Dictionaries
⌨️ (1:19:29) If statements
⌨️ (1:26:43) Match statements
⌨️ (1:36:48) Loops
⌨️ (1:49:50) Loop clauses
⌨️ (1:55:14) Modules
⌨️ (1:49:50) Loop clauses
⌨️ (2:00:57) Errors and exceptions
⌨️ (2:07:37) Classes
⌨️ (2:27:26) Virtual environments
⌨️ (2:36:02) Building a project

💻 Code: https://github.com/bobby-didcoding/python-course-for-beginners

#python #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #datascience #machinelearning #deeplearning #ai #artificialintelligence 

Learn Python - Crash Course for Beginners

Build a Portfolio Website with HTML, CSS and JavaScript

Portfolio Website Tutorial – Frontend Development with HTML, CSS, JavaScript

In this course, you will learn how to build a portfolio website using JavaScript, HTML, and CSS. This is a great project to improve you frontend development skills.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:02:37) Switch Between Sections
⌨️ (0:48:53) Header Content
⌨️ (1:06:22) About Section
⌨️ (1:42:34) Portfolios Section
⌨️ (1:58:52) Blogs Section
⌨️ (2:11:31) Contact Section
⌨️ (2:44:09) Media Queries

💻 Code: https://github.com/Maclinz/JS_CSS_PortfolioProject

#html #css #javascript #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

Build a Portfolio Website with HTML, CSS and JavaScript

Top 10 VS Code Extensions to Improve Your Productivity

Visual Studio Code Extensions to Improve Your Productivity

Learn about 10 helpful VS Code extensions. These VSCode extensions could make you more productive as a developer.

Visual Studio Code is one of the most popular code editors used by software developers. While it has many great features built-in, there are a lot of extensions you can install to increase your productivity.

⭐️ Course Contents ⭐️
⌨️ (00:00) Intro
⌨️ (00:24) GitLens
https://marketplace.visualstudio.com/items?itemName=eamodio.gitlens 
⌨️ (04:35) LiveShare
https://marketplace.visualstudio.com/items?itemName=MS-vsliveshare.vsliveshare 
⌨️ (08:01) Pieces
https://code.pieces.app/install 
⌨️ (14:36) Better Comments
https://marketplace.visualstudio.com/items?itemName=aaron-bond.better-comments 
⌨️ (17:53) Turbo Console Log
https://marketplace.visualstudio.com/items?itemName=ChakrounAnas.turbo-console-log 
⌨️ (21:05) Code Runner
https://marketplace.visualstudio.com/items?itemName=formulahendry.code-runner 
⌨️ (22:52) Import Cost
https://marketplace.visualstudio.com/items?itemName=wix.vscode-import-cost 
⌨️ (24:27) Prettier
https://marketplace.visualstudio.com/items?itemName=esbenp.prettier-vscode 
⌨️ (27:36) ESLint
https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint 
⌨️ (33:26) Docker
https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-docker 
⌨️ (38:57) Conclusion

#vscode #visualstudiocode #programming #developer #morioh #programmer #coding #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment

Top 10 VS Code Extensions to Improve Your Productivity
Johnson Duke

Johnson Duke

1686192964

Train an AI to Play a Snake Game with Python, PyTorch and Pygame

Python + PyTorch + Pygame Reinforcement Learning – Train an AI to Play Snake

In this Python Reinforcement Learning course you will learn how to teach an AI to play Snake! We build everything from scratch using Pygame and PyTorch.

First you will create the game using Python and Pygame. Then you will create and train a neural network using PyTorch that can play the game better than most humans.

Here is what is what you will do in this four-part course:

  • Learn the basics of Reinforcement Learning and Deep Q Learning
  • Setup the environment and implement a snake game
  • Implement an agent to control the game
  • Create and train a neural network to play the game

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Part 1: Basics of Reinforcement Learning and Deep Q Learning
⌨️ (0:17:22) Part 2: Setup environment and implement snake game
⌨️ (0:40:07) Part 3: Implement agent to control game
⌨️ (1:10:59) Part 4: Create and train neural network

💻 Code: https://github.com/python-engineer/snake-ai-pytorch

#python #pytorch #pygame #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #morioh #softwaredeveloper #computerscience 

Train an AI to Play a Snake Game with Python, PyTorch and Pygame