Python Courses & Resources

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Python Selenium Tutorial #1 - Web Scraping, Bots & Testing 🐍🕸️

This selenium tutorial is designed for beginners to learn how to use the python selenium module to perform web scraping, web testing and create website bots 🤖. Selenium is an automation framework that allows you to interact with websites using something called a web driver 🛠️.

How to Fix Pip: https://www.youtube.com/watch?v=AdUZArA-kZw 🎥

Chrome Web-driver Download: https://sites.google.com/a/chromium.org/chromedriver/downloads 🚀

Selenium Documentation: https://selenium-python.readthedocs.io/ 📚

More likes please

FastAPI - A python framework | Full Course

FastAPI is the fastest Python Web Framework

Let's learn fastAPI by creating a full API for crud of blog with user authentication

FastAPI is using Pydantic library for types and starlette framework under the hood

FastAPI also provide amazing support for swagger API docs

Source code - https://github.com/bitfumes/fastapi-course

https://t.me/Python53 🌟

Read this once. There won't be a second message.

Brainlancer just launched today.

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The first 100 Brainlancers are onboarding right now.

In 6 months others will have founding status, recurring income, featured services on the homepage.

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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Top-10 Stanford Courses on AI and Machine Learning - directly from official pages and materials.

CS221: Artificial Intelligence
https://www.youtube.com/playlist?list=PLoROMvodv4rOca_Ovz1DvdtWuz8BfSWL2

CS229: Machine Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU

CS229M: Theory of Machine Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh

CS230: Deep Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X

CS234: Reinforcement Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX

CS224N: Natural Language Processing
https://www.youtube.com/playlist?list=PLoROMvodv4rOaMFbaqxPDoLWjDaRAdP9D

CS231N: Deep Learning for Computer Vision
https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16

CME295: Large Language Models
https://www.youtube.com/playlist?list=PLoROMvodv4rObv1FMizXqumgVVdzX4_05

CS236: Deep Generative Models
https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8

CS336: Modeling Language from Scratch
https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_

These courses cover the basics: from classic machine learning to modern LLMs and generative models, including both practice and theory.

🔅 Learning Python

📝 This course gives you everything you need to start programming in Python, from building your first program up through working with files, data and the internet.

https://t.me/Python53

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Today, the public mint for Lobsters on TON goes live on Getgems 🦞

This is not just another NFT drop.
In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI.

Here, the NFT is not just an image and not just a collectible.
Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API.

So you are not just getting an asset in your wallet.
You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces.

What makes this especially interesting is the timing.

In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative:

Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility

Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent.

Public mint: today, 16:00
Price: 50 TON

👉 Mint your Lobster on Getgems 🦞🦞🦞