in-tech-gration
in-tech-gration
  • 82
  • 7 967
Maintaining WDX180: Adding YouTube videos to the Resources JSON DB
This is a guide for adding UA-cam videos to the resources.json file which is part of the WDX180 platform. The file contains a list of the resources that are included in the curriculum. These are recommended blog posts, videos, articles and other useful resources for learning web development.
This guide is intended for maintainers and contributors to the open-source WDX180 educational project.
The resouces.json file which contains the resources used in the curriculum can be found here: github.com/in-tech-gration/WDX-180/blob/main/resources/resources.json
=====
GUIDE
=====
- Get your UA-cam API key from `console.cloud.google.com/`
- Grab the UA-cam video ID: e.g. `K_EVuLegRZ0`
- Run `node tools/yt.js --get-video-info K_EVuLegRZ0` or `npm run yt:info K_EVuLegRZ0`
- Paste at the end of the `/resources/resources.json`.
- Commit and push!
You can find the yt.js source code in the WDX180 repository: github.com/in-tech-gration/WDX-180/blob/main/tools/yt.js
- The WDX180 repository can be found here: github.com/in-tech-gration/WDX-180/
- The WDX180 website can be found here: in-tech-gration.github.io/WDX-180/
Переглядів: 21

Відео

WDX180 Live Sessions - JavaScript Promises - Part 2 of 21:27:18WDX180 Live Sessions - JavaScript Promises - Part 2 of 2
WDX180 Live Sessions - JavaScript Promises - Part 2 of 2
Переглядів 24День тому
Session was recorded on 08/01/2024 at EchoHub in Athens, Greece. Part of the WDX180 (Web Development X) course: in-tech-gration.github.io/WDX-180/ Resources: - Chuck Norris JSON API: api.chucknorris.io/ - JSON Placeholder: jsonplaceholder.typicode.com/ Check out our work and goals: - intechgration.io Follow us on LinkedIn: www.linkedin.com/company/intechgration/ Did you find this video helpful?...
WDX180 Live Sessions - JavaScript Promises - Part 1 of 21:11:01WDX180 Live Sessions - JavaScript Promises - Part 1 of 2
WDX180 Live Sessions - JavaScript Promises - Part 1 of 2
Переглядів 21День тому
Session was recorded on 08/01/2024 at EchoHub in Athens, Greece. Part of the WDX180 (Web Development X) course: in-tech-gration.github.io/WDX-180/ Check out our work and goals: - intechgration.io Follow us on LinkedIn: www.linkedin.com/company/intechgration/ Did you find this video helpful? You can support us via: ko-fi.com/intechgration
Welcome to WDX180 (Web Development X)29:00Welcome to WDX180 (Web Development X)
Welcome to WDX180 (Web Development X)
Переглядів 19День тому
This video introduces you to the WDX 180 course (Web Development X). Watch the video to learn more about what the course covers, some advice on how to study and some general tips to improve your productivity and focus. The follow-up video that explains about Frontend development in more depth can be found here: ua-cam.com/video/JtNmSHnirfY/v-deo.html The WDX180 platform: in-tech-gration.github....
INTECHGRATION.io - Our (Short) Story2:10INTECHGRATION.io - Our (Short) Story
INTECHGRATION.io - Our (Short) Story
Переглядів 24День тому
INTECHGRATION.io - Our (Short) Story
Running Large Language Models through the terminal - CLI tips and tricks using Ollama22:15Running Large Language Models through the terminal - CLI tips and tricks using Ollama
Running Large Language Models through the terminal - CLI tips and tricks using Ollama
Переглядів 7214 днів тому
Make sure to watch our previous video on how to install and use Ollama on your machine: ua-cam.com/video/0n3D2nNq7AE/v-deo.html Command reference: gist.github.com/kostasx/ef38a3a9642f343538000a080a5f3ee2 Tips on how to get better JSON output: - Set the model temperature to 0 - Read more here: github.com/ollama/ollama/issues/836#issuecomment-1874758310 - More tips here: www.reddit.com/r/LocalLLa...
Build a RAG Application using LangChain.js - Step 109:39Build a RAG Application using LangChain.js - Step 10
Build a RAG Application using LangChain.js - Step 10
Переглядів 3321 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 0913:01Build a RAG Application using LangChain.js - Step 09
Build a RAG Application using LangChain.js - Step 09
Переглядів 2121 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 089:02Build a RAG Application using LangChain.js - Step 08
Build a RAG Application using LangChain.js - Step 08
Переглядів 2121 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 077:44Build a RAG Application using LangChain.js - Step 07
Build a RAG Application using LangChain.js - Step 07
Переглядів 1121 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 0619:44Build a RAG Application using LangChain.js - Step 06
Build a RAG Application using LangChain.js - Step 06
Переглядів 3721 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 058:18Build a RAG Application using LangChain.js - Step 05
Build a RAG Application using LangChain.js - Step 05
Переглядів 1321 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 0410:26Build a RAG Application using LangChain.js - Step 04
Build a RAG Application using LangChain.js - Step 04
Переглядів 2421 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 033:38Build a RAG Application using LangChain.js - Step 03
Build a RAG Application using LangChain.js - Step 03
Переглядів 1221 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 027:54Build a RAG Application using LangChain.js - Step 02
Build a RAG Application using LangChain.js - Step 02
Переглядів 1621 день тому
This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell. The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents. Part of the Building a RAG Application using LangChain.js Playlist: ua-cam.com/play/PLdo7hJB0agElRmR33xq3x...
Build a RAG Application using LangChain.js - Step 013:09Build a RAG Application using LangChain.js - Step 01
Build a RAG Application using LangChain.js - Step 01
Переглядів 3121 день тому
Build a RAG Application using LangChain.js - Step 01
Build a RAG Application using LangChain.js (Overview)28:20Build a RAG Application using LangChain.js (Overview)
Build a RAG Application using LangChain.js (Overview)
Переглядів 8421 день тому
Build a RAG Application using LangChain.js (Overview)
What is Ollama? Learn how to download and run Large Language Models locally and completely offline.27:45What is Ollama? Learn how to download and run Large Language Models locally and completely offline.
What is Ollama? Learn how to download and run Large Language Models locally and completely offline.
Переглядів 10728 днів тому
What is Ollama? Learn how to download and run Large Language Models locally and completely offline.
LLM Compendium: Temperature in Large Language Models3:07LLM Compendium: Temperature in Large Language Models
LLM Compendium: Temperature in Large Language Models
Переглядів 49Місяць тому
LLM Compendium: Temperature in Large Language Models
LLM Compendium: Machine Learning Models - Part 2 - A technical high-leve overview2:57LLM Compendium: Machine Learning Models - Part 2 - A technical high-leve overview
LLM Compendium: Machine Learning Models - Part 2 - A technical high-leve overview
Переглядів 111Місяць тому
LLM Compendium: Machine Learning Models - Part 2 - A technical high-leve overview
LLM Compendium: Machine Learning Models - Part 1 - A high-level overview2:43LLM Compendium: Machine Learning Models - Part 1 - A high-level overview
LLM Compendium: Machine Learning Models - Part 1 - A high-level overview
Переглядів 64Місяць тому
LLM Compendium: Machine Learning Models - Part 1 - A high-level overview
LLM Compendium: Tokens, Tokenizers and Tokenization3:25LLM Compendium: Tokens, Tokenizers and Tokenization
LLM Compendium: Tokens, Tokenizers and Tokenization
Переглядів 76Місяць тому
LLM Compendium: Tokens, Tokenizers and Tokenization
LLM Compendium: Vectors2:39LLM Compendium: Vectors
LLM Compendium: Vectors
Переглядів 101Місяць тому
LLM Compendium: Vectors
LLM Compendium: Hyperparameters and Hyperparameter Tuning or Optimization2:11LLM Compendium: Hyperparameters and Hyperparameter Tuning or Optimization
LLM Compendium: Hyperparameters and Hyperparameter Tuning or Optimization
Переглядів 39Місяць тому
LLM Compendium: Hyperparameters and Hyperparameter Tuning or Optimization
LLM Compendium: What is a Large Language Model (LLM)2:04LLM Compendium: What is a Large Language Model (LLM)
LLM Compendium: What is a Large Language Model (LLM)
Переглядів 93Місяць тому
LLM Compendium: What is a Large Language Model (LLM)
LLM Compendium: Fine-Tuning1:42LLM Compendium: Fine-Tuning
LLM Compendium: Fine-Tuning
Переглядів 102Місяць тому
LLM Compendium: Fine-Tuning
LLM Compendium: Hallucinations1:36LLM Compendium: Hallucinations
LLM Compendium: Hallucinations
Переглядів 53Місяць тому
LLM Compendium: Hallucinations
LLM Compendium: Prompts - Zero-shot, one-shot and few-shot prompting.1:53LLM Compendium: Prompts - Zero-shot, one-shot and few-shot prompting.
LLM Compendium: Prompts - Zero-shot, one-shot and few-shot prompting.
Переглядів 68Місяць тому
LLM Compendium: Prompts - Zero-shot, one-shot and few-shot prompting.
Quick chats with Web Developers: Una Kravets (Google)3:45Quick chats with Web Developers: Una Kravets (Google)
Quick chats with Web Developers: Una Kravets (Google)
Переглядів 522 місяці тому
Quick chats with Web Developers: Una Kravets (Google)
Celebrating WDX180 and Student Graduation (06/2024)1:09:02Celebrating WDX180 and Student Graduation (06/2024)
Celebrating WDX180 and Student Graduation (06/2024)
Переглядів 702 місяці тому
Celebrating WDX180 and Student Graduation (06/2024)

КОМЕНТАРІ

  • @LJSheffRBLX
    @LJSheffRBLX 15 днів тому

    in-tech-gration, wanna collab it was really good

  • @in-tech-gration
    @in-tech-gration 16 днів тому

    Are you using Ollama or LLMs in interesting or practical ways? Please share your tips, tricks or ideas in the comments below.

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @in-tech-gration
    @in-tech-gration Місяць тому

    What concept would you like to see next?

  • @FatmaAli-kv8lo
    @FatmaAli-kv8lo Місяць тому

    Bravo 🎉 guys well done

  • @dimitmoto1716
    @dimitmoto1716 2 місяці тому

    Congratulations 🎉 One of the best quality bootcamp - learning resource - community and its free! Amazing!

  • @jaortiiss
    @jaortiiss 2 місяці тому

    04:30 - block element 06:06 - default element styling 06:46 - user agent stylesheet 08:57 - using the inspector for css properties 09:40 - position static 12:14 - position relative 12:52 - cascading effect 15:20 - pushing a position relative element 17:20 - cannot push a static element 20:10 - still occupying space even if pushed 21:25 - position relative overview 23:49 - negative values = pulling 24:20 - animating position relative 26:05 - css transition property 27:40 - set initial value and then transition to new one 29:16 - q: why not transition inside the hover selector 30:50 - transition all 32:46 - q: transition left vs transition all 36:35 - overview on transition

  • @zero_lobby_boy7957
    @zero_lobby_boy7957 2 місяці тому

    Thanks, very cool!

  • @DisalaShorts
    @DisalaShorts 2 місяці тому

    love uuuuu , my guy

  • @mariakaravazaki4608
    @mariakaravazaki4608 6 місяців тому

    Thank you for the useful video 🙏

  • @sulmanahmad6943
    @sulmanahmad6943 6 місяців тому

    Nice 👍 now how we can make this icon draggable?

  • @dimitmoto1716
    @dimitmoto1716 8 місяців тому

    Thanks a lot! Very useful trick. Now no need to memorise those types.

  • @sankar_royals
    @sankar_royals 8 місяців тому

    Hi I want to make sticky left for some columns is there any way by using this react datasheet grid because it supporting only sticky right . Can you help me to achieve sticky left column

    • @in-tech-gration
      @in-tech-gration 8 місяців тому

      Hello there! Indeed, it seems that the Datasheet library is missing this feature and there's also an open GitHub issue for this one. To our knowledge, there isn't yet any way to easily move the sticky column to the left side. Perhaps digging into the source code and try to replicate and tweak the stickyRightColumn or wait to see whether the community responds with some ideas on the open issue: github.com/nick-keller/react-datasheet-grid/issues/326

  • @BobMarley-qh2qs
    @BobMarley-qh2qs 9 місяців тому

    Thnx man .

  • @kritsaphongphuthibpaphaisi1509
    @kritsaphongphuthibpaphaisi1509 10 місяців тому

    Thanks you

  • @kostas_x
    @kostas_x 11 місяців тому

    If you want to learn more about CSV files, check out this nice introductory video: ua-cam.com/video/UofTplCVkYI/v-deo.html