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AUTOMATE YOUR LIFE USING PYTHON - 3 Beginner Projects (tutorial)
AUTOMATE YOUR LIFE USING PYTHON - 3 Beginner Projects (tutorial) 121gamers 15 Views • 2 years ago

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In this video, we build 3 very easy Python automation projects to automate your life!

The best way to learn Python FAST is through building projects that you're excited about.

We will learn web scraping, APIs, scripting, and other useful Python concepts by building these beginner Python project ideas.

Code - https://github.com/tuomaskivio....ja/3-automation-proj
NewsAPI - https://newsapi.org/

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CHAPTERS:
0:00 Best Python projects gave THESE properties
1:42 Sponsor: Wondershare DemoCreator
3:16 Project 1: News Automator
8:24 Project 2: eBay Price Tracker
14:30 Project 3: Voice Recognition Bot

WHO AM I?
On this channel, my aim is to give you the tools, strategies and methods to learn to code effectively - according to science! In addition, I document my life as a self-taught software engineer.

DISCLAIMER: some of the links in the description may be affiliate links. If you purchase a product or service using the links that I provide I may receive a small commission. This is no extra charge to you! Thanks for supporting Internet Made Coder :)

This video is about: python automation projects, automate the boring stuff with python, learn python, python automation, automate your life, learn python fast, python fundamentals, bash scripting, learn to code, coding projets, coding project ideas, python tutorial, desktop automation, coding tutorial, python 101, how to automate tasks for beginners

God Provides For Your Every Need | Joseph Prince Ministries
God Provides For Your Every Need | Joseph Prince Ministries 121gamers 15 Views • 2 years ago

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(Sermon 532 - Part 3 of 4)

Build a Large Language Model AI Chatbot using Retrieval Augmented Generation
Build a Large Language Model AI Chatbot using Retrieval Augmented Generation 121gamers 15 Views • 2 years ago

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Programming nerd Nicholas Renotte explains in 3 minutes how to build a chat app using a large language model. He nets out how retrieval augmented generation builds on LLMs, then shows how custom data, like a PDF, can be loaded and used for more meaningful, insightful chat responses.

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