🔴 Free Python course for GenAI


👩🏻‍💻 Guys , GenAI Community has created a free Python training course where you will learn both Python and its application in generative artificial intelligence!


✏️ The classes are live, but the videos of the classes are recorded and you can access them in your user panel. They last 10 to 12 weeks and are completely free!

✅ If you want to learn Python from scratch and enter the world of Generative Artificial Intelligence (GenAI), this course is for you! You don't need a programming background, just a desire to learn!

🥵 What will you learn in this course?

✅ Python concepts: conditionals, loops, data structures
✅ Working with APIs, File Management, and Regex
✅ Object-oriented programming and modular coding
✅ And a whole host of other skills that will pave your way into the world of artificial intelligence and data science.

🔔 I should also mention that this community grew 5 times last year and is now one of the largest AI communities in the world. In the last hackathon they held, 5,000 people from all over the world participated and a prize of $25,000 was distributed among them.

📣 It's completely free! No cost, no limits, with a community of people eager to learn.👇
🔗 Learn Python for FREE (GenAI Python)

Here are some suitable hashtags for the description in English, in a single line:

#Python #GenAI #FreeCourse #ArtificialIntelligence #DataScience #Programming #LearnToCode #AI #MachineLearning #Coding #Tech #Education #OnlineLearning #FreeTraining #GenerativeAI

https://t.me/CodeProgrammer 🐍

This checklist covers the essentials of NumPy in one place, helping you:

- Create and initialize arrays
- Perform element-wise computations
- Stack and split arrays
- Apply linear algebra functions
- Efficiently index, slice, and manipulate arrays

…and much more!

Feel free to share if you found this useful, and let me know in the comments if I missed anything!

⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

#NumPy #Python #DataScience #MachineLearning #Automation #DeepLearning #Programming #Tech #DataAnalysis #SoftwareDevelopment #Coding #TechTips #PythonForDataScience

reader3 📚✨

When you want to connect an AI like Gemini to help you analyze books or content, copying text from a reader usually becomes a hassle. 😩💻

Especially if you want to discuss a book by chapters. Highlighting text manually and copying it disrupts the flow and feels like a waste of time. ⏳🚫

Yesterday, Andrzej Karpati, a well-known AI expert, released a new project to the public: reader3, which solves this problem very neatly. 🎉🛠️ It's a lightweight EPUB reader that allows you to read a book together with AI. 🤖📖

Its interface is as minimalist as possible: only the necessary reading and navigation functions. 📉🧭 You can also manage your library through folders. 📁✨

The key feature is that it breaks an EPUB into chapters and displays the content one chapter at a time. 🔓📄

This makes it easy to copy the needed part of the book and pass it to a large model for analysis or discussion. 📋🔄 It significantly improves the reading experience when paired with AI. 🚀🧠

And it's very easy to get started - just run two commands via uv. ⚡🛠️ As a result, it's an excellent tool for those who love reading and want to use AI as a companion for text analysis. 📚🤝🤖

📁 Language: #Python 61.0%

⭐️ Stars: 1.5k

➡️ Link to GitHub https://github.com/karpathy/reader3

#AI #Python #Reader3 #Tech #BookLovers #Github

https://t.me/CodeProgrammer ✅