📱 Aider - AI-partner for programming with console interface

Aider got the top score on SWE Bench, a challenging benchmark in which Aider solved real-world problems on #GitHub from popular open source projects like #django, #scikitlearn, #matplotlib, etc.

🖥 GitHub

🟡 Docs

🌐 http://t.me/codeprogrammer

🤖 The most huge collection of cheats for ChatGPT!

With these chips the AI will work without limits, gossip about everything in the world without fear of bans, and respond in ways that OpenAI has never even dreamed of. There are many other chips that will make the neural network much smarter and more accurate.

👩‍💻🧑‍💻 ➡️ Here 🤖 ⬅️ 👩‍💻👨‍💻

⭐️ http://t.me/codeprogrammer

🖥 Scientific Python Lectures (2024)

✅ Scientific Python Lectures
Gaël Varoquaux, Emmanuelle Gouillart, Olav Vahtras Pierre de Buyl, and many others.

⭐️ http://t.me/codeprogrammer

🖥 Downloading a YouTube Playlist using Python

Loading YouTube playlist using Python.

⭐️ http://t.me/codeprogrammer

🔺 10 free MIT data science courses

☄️ If you have started learning data science, improve your learning level right now with the courses of prestigious universities and institutions in the world such as Stanford, Harvard and MIT, which are the first in the field of data science.

✅ Here I have put the top 10 free MIT data science courses for you in 2024. 👇

🏷 MIT University's free data science courses

┤ ✅ Computational thinking and data science introductory course
┤ ✅ machine learning course with Python
┤ ✅ Computer science and programming course with Python
┤ ✅ Supply chain analysis course
┤ ✅ Understanding the world through data course
┤ ✅ Computational thinking course for modeling and simulation
┤ ✅ Probability Course - Science of Uncertainty and Data
┤ ✅ The course of principles of production processes
┤ ✅ Principles and basics of statistics and probability course
┘ ✅ The course of becoming an entrepreneur

👉 BEST DATA SCIENCE CHANNELS ON TELEGRAM 👈

https://t.me/addlist/8_rRW2scgfRhOTc0

WebScraping with Gen AI

During this session, we'll explore the following topics:

1️⃣ Basics of Web Scraping:
Understand the fundamental concepts and techniques of web scraping and its legal and ethical considerations.

2️⃣ Scraping with Gen AI:
Discover how Gen AI revolutionizes the web scraping landscape with real-world examples.

3️⃣ Jina Reader API:
Get acquainted with the Jina Reader API, a powerful tool for obtaining LLM-friendly input from URLs or web searches.

4️⃣ ScrapeGraphAI:
Dive into ScrapeGraphAI, a groundbreaking Python library that combines LLMs and direct graph logic for creating robust scraping pipelines.

Event Details:
🗓 Date: 22 June, Saturday
⏰ Time: 11:00 AM IST
🔗 Register now: https://www.buildfastwithai.com/events/web-scraping-with-gen-ai

Connect with Founder from IIT Delhi;
https://www.linkedin.com/in/satvik-paramkusham/

🔺 Data science learning roadmap in 2024

👨🏻‍💻 If you want to start learning data science from scratch in 2024, this roadmap can be a great starting point for you.👌🏼


1️⃣ Basics of data science

🏷 Statistics and probability
◾┘️ link: Statistics & Probability

🏷 Linear Algebra
┘ ◽️ link: Essence of Linear Algebra


2️⃣ Programming language

🏷 Python
◾┘️ link: Learn Python 3


3️⃣ Data analysis and manipulation

🏷 Pandas library
◾┘️ link: pandas documentation

🏷 Data preparation with Pandas
Link : Data Wrangling with Pandas

🏷 NumPy library
◾┘️ link: NumPy documentation


4️⃣ Data visualization

🏷 Matplotlib and Seaborn library
◾┘️ Link: Matplotlib / seaborn

🏷 Tableau Public platform
Link : Tableau Public


5️⃣ Principles of machine learning

🏷 scikit-learn library
◾┘️ link: scikit-learn


6️⃣ Learning algorithms

🏷 Hands-On Machine Learning book
◾┘️ link: Hands-On ML


7️⃣ Deep learning

🏷 TensorFlow library
◾┘️ link: TensorFlow Tutorial

🏷 PyTorch library
◾┘️ Link: PyTorch Documentation


8️⃣ Big data technologies

🏷 Spark framework course
◾┘️ Link: Spark Course


9️⃣ Advanced topics

🏷 Natural language processing course in Python
◾┘️ link: NLP in Python


1️⃣ Share your projects on Kaggle and GitHub

🏷 Kaggle platform
◾┘️ link: Kaggle

🏷 GitHub platform
◾┘️ Link: GitHub

⭐️ http://t.me/codeprogrammer

LLM cheatsheet ⭐

http://t.me/codeprogrammer ✅

🟢 We present to you a list of our paid services:

✅ Paid Channel (Books): It includes a huge encyclopedia of free channels and a huge collection of important and rare books

💵 Price: 7$ - one time payment

✅ Paid channel (courses): includes a complete set of courses downloaded from Udemy, Coursera, and other learning platforms.

💵 Price: 20$ - one time payment

✅ Paid bot 1: A bot that contains ten million books and articles in all fields of programming, data science, life sciences, and medicine, with daily updates and additions.

💵 Price: 10$ - one time payment

✅ Paid bot 2: The bot contains more than 30 million books and 10 million scientific articles, with your own account, your own control panel, and important features.

💵 Price: 17$ - one time payment

✅ Coursera Scholarship: This scholarship gives you free access to all Coursera courses

💵 Price: 30$ - one time payment

🔥 Special offer: Get all four services for only $50

💠💠 Available payment methods:
PayPal - Payeer - Crypto - udst
MasterCard - Credit Card

To request a subscription:
t.me/Hussein_Sheikho

🖥 Aurora is a static site generator implemented in Python

Aurora is a static site generator implemented in Python.

Aurora supports:

- Create content and pages using markdown, jinja2 and HTML
- Various types of assembly
- Interactive build with fast reload capability for development (reload time up to < 300ms)
- Built-in support for creating site pages

pip3 install aurora-ssg

• Github

http://t.me/codeprogrammer ✅