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A new guide for preparing for technical developer interviews has been released. 😳
It covers key topics: design patterns, application architecture, best practices and clean code principles, algorithms and data structures, as well as typical questions on languages and technologies
✅ more: https://github.com/DevCaress/guia-entrevistas-de-programacion
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It covers key topics: design patterns, application architecture, best practices and clean code principles, algorithms and data structures, as well as typical questions on languages and technologies
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everyone says they want to understand LLMs.
this repo makes you prove it.
https://github.com/rasbt/LLMs-from-scratch
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this repo makes you prove it.
https://github.com/rasbt/LLMs-from-scratch
https://t.iss.one/CodeProgrammer 👍
GitHub
GitHub - rasbt/LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step - rasbt/LLMs-from-scratch
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Google has updated its AI service NotebookLM, and this could really revolutionize online education.
Previously, the tool could create text summaries and podcast lessons from documents and links. Now there is a new feature — turning an article or documentation into a full video analysis.😦
In the demo, Google showed how a regular article about JavaScript functions from MDN was transformed into a structured video review in seconds.
With this approach, learning becomes easier, more accessible, and more visual. It looks like a new era in online education is coming.
Try it: notebooklm.google
👉 @https://t.iss.one/CodeProgrammer 🌟
Previously, the tool could create text summaries and podcast lessons from documents and links. Now there is a new feature — turning an article or documentation into a full video analysis.
In the demo, Google showed how a regular article about JavaScript functions from MDN was transformed into a structured video review in seconds.
With this approach, learning becomes easier, more accessible, and more visual. It looks like a new era in online education is coming.
Try it: notebooklm.google
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Forwarded from Data Science Machine Learning Data Analysis
🔥 Trending Repository: 500-AI-Agents-Projects
📝 Description: The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.
🔗 Repository URL: https://github.com/ashishpatel26/500-AI-Agents-Projects
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📖 Readme: https://github.com/ashishpatel26/500-AI-Agents-Projects#readme
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👀 Watchers: 105
🍴 Forks: 1.3K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.
🔗 Repository URL: https://github.com/ashishpatel26/500-AI-Agents-Projects
🌐 Website: https://github.com/ashishpatel26/500-AI-Agents-Projects
📖 Readme: https://github.com/ashishpatel26/500-AI-Agents-Projects#readme
📊 Statistics:
🌟 Stars: 7K stars
👀 Watchers: 105
🍴 Forks: 1.3K forks
💻 Programming Languages: Not available
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==================================
🧠 By: https://t.iss.one/DataScienceM
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Cheat sheets for Machine Learning and Data Science interviews
A developer posted a useful set of cheat sheets for interview preparation. They contain all the most important information on key ML and DS topics.
Convenient to review before the interview or to brush up your basics.
Like if you find it useful👍
👉 https://t.iss.one/CodeProgrammer
A developer posted a useful set of cheat sheets for interview preparation. They contain all the most important information on key ML and DS topics.
Convenient to review before the interview or to brush up your basics.
Like if you find it useful
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Introducing Vanna: An Open-Source Text-to-SQL Tool | Daily Dose of Data Science posted on the topic | LinkedIn
Finally! A Text-to-SQL tool that actually works!
(100% open-source, 20k+ stars)
Vanna is an open-source RAG framework for complex Text-to-SQL generation, designed for handling dynamic datasets.
Works in 2 easy steps:
1️⃣ Train a RAG “model” on your data.
2️⃣ Ask questions in natural language which will return SQL queries that can be set up to automatically run on your database.
Key features:
🎯 High accuracy on complex datasets
🤖 Self-learning: improves with each query
🔒 Secure: data never leaves your environment
🌐 Connect to any SQL DB (Snowflake, Redshift, etc.)
🧩 Multiple front-end integrations (Jupyter, Slack, etc.)
Vanna GitHub: https://github.com/vanna-ai/vanna
https://t.iss.one/CodeProgrammer🌟
Finally! A Text-to-SQL tool that actually works!
(100% open-source, 20k+ stars)
Vanna is an open-source RAG framework for complex Text-to-SQL generation, designed for handling dynamic datasets.
Works in 2 easy steps:
1️⃣ Train a RAG “model” on your data.
2️⃣ Ask questions in natural language which will return SQL queries that can be set up to automatically run on your database.
Key features:
🎯 High accuracy on complex datasets
🤖 Self-learning: improves with each query
🔒 Secure: data never leaves your environment
🌐 Connect to any SQL DB (Snowflake, Redshift, etc.)
🧩 Multiple front-end integrations (Jupyter, Slack, etc.)
Vanna GitHub: https://github.com/vanna-ai/vanna
https://t.iss.one/CodeProgrammer
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➖ дати, що змінили світ,
➖ визначні українці та світові події.
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t.iss.one/ukr_history_daily
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Forwarded from Python | Machine Learning | Coding | R
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Found a top open-source tool
It turns any JSON or YAML into an interactive mind-map.
Convenient for analyzing complex structures, you can immediately see connections and nesting.
The perfect tool to avoid getting lost in the "forest of brackets" and to understand data faster. A must-have for developers😧
confmap.com
👉 @codeprogrammer
It turns any JSON or YAML into an interactive mind-map.
Convenient for analyzing complex structures, you can immediately see connections and nesting.
The perfect tool to avoid getting lost in the "forest of brackets" and to understand data faster. A must-have for developers
confmap.com
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Forwarded from Data Science Machine Learning Data Analysis
📌 Understanding Random Forest using Python (scikit-learn)
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read
A Random Forest is a powerful machine learning algorithm that can be used for classification…
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read
A Random Forest is a powerful machine learning algorithm that can be used for classification…
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