m83_

Apasionado por las ciencias de la computación, currently python developer aspiring to fullstack #Java #Python #JavaScript. #NoSQL #SQL #BigData #AWS

[m83_ @devm830x1945]

"No necesitas ser un científico para saber lo poderosa que es tu imaginación"
─Chris Prentiss.

[Avi Chawla @_avichawla]

A graph-powered all-in-one RAG system!

RAG-Anything is a graph-driven, all-in-one multimodal document processing RAG system built on LightRAG.

It supports all content modalities within a single integrated framework.

100% open-source.

[Avi Chawla @_avichawla]

@akshay_pachaar I really like this repo. Just takes a few lines of code to get a local MCP client up and running.

[Akshay 🚀 @akshay_pachaar]

Connect any LLM to any MCP server!

MCP-Use is the open source way to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.

Build 100% local MCP clients.

[Quant Science @quantscience_]

Machine learning techniques and data for stock market forecasting.

(A free PDF) 👇

[Real Python @realpython]

🐍📰 Pythonic Data Cleaning With Pandas and NumPy

A tutorial to get you started with basic data cleaning techniques in Python using Pandas and NumPy. #python https://t.co/Bbiku7OZcA

[Daily Dose of Data Science @DailyDoseOfDS_]

The only MCP server you'll ever need!

MindsDB lets you query data from 200+ sources, like Slack, Gmail, social platforms, and more, in both SQL and natural language.

A federated query engine that comes with a built-in MCP server.

100% open-source with 35k+ stars!

[Kirk Borne @KirkDBorne]

Deep #ReinforcementLearning Hands-On — Practical easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: https://t.co/P6k65TX1Cc [3rd Edition] v/ @PacktDataML
——
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
——
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
🟢Learn with concise explanations, modern libraries, and diverse applications from games to stock trading and web navigation.

🔵Speed up RL models using algorithmic and engineering approaches

[Wail ☕ @wailcsx]

This is one of the most underrated books I’ve ever read.

I have it in PDF (free).

Can’t attach here comment "Interested" and I’ll send it your way.

[Mohit Mishra @chessMan786]

Writing a C Compiler

[Tom Dörr @tom_doerr]

Curated list of Obsidian plugins, themes, and tools

[Wail ☕ @wailcsx]

If you’re learning AI/ML, there’s one book that explains it better than most courses I’ve taken.

It’s called: AI and Machine Learning for Coders.
Highly recommend adding it to your reading list.

I have it in PDF.
I’ll let you figure out how to get it :)

[Probability and Statistics @probnstat]

Mathematics of ML:

https://t.co/Y3H3pwD0Q0

[𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 @techwith_ram]

𝗣𝗮𝗻𝗱𝗮𝘀; 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗧𝗮𝘀𝗸𝘀

Use pandas to automate stuff at work. Instead of manually cleaning CSV files, you can set up a script that:

- Reads all CSVs in a folder
- Cleans the data
- Merges it into one neat report
- Emails it automatically

[Alex Xu @alexxubyte]

Session, Cookie, JWT, Token, SSO, and OAuth 2.0 Explained in One Diagram

[Kirk Borne @KirkDBorne]

50 #Algorithms Every Programmer Should Know: https://t.co/9eovDInEjs via @PacktDataML

—————
#DataScientist #DataScience #Coding #Mathematics #MachineLearning #Statistics #ComputerScience #AI #Cryptography #ComputationalScience

[m83_ @devm830x1945]

I just published Implementa CDC near-realtime de tu Base de datos transaccional con GCP Datastream hacia BigQuery… https://t.co/VnsuROEdTW

[m83_ @devm830x1945]

I just published Construye tu Data Warehouse con GCP Dataform y Workflows en BigQuery 👾 https://t.co/J21gwnF7c9

[m83_ @devm830x1945]

I just published Accediendo a tus datos de PostgreSQL con Gemini a traves de MCP Server https://t.co/BrzPq1r0o3

[Tom Yeh @ProfTomYeh]

How does an LLM sample a sentence? You can do it yourself by hand. ✍️ Walkthrough below 👇

[Quant Science @quantscience_]

20+ GitHub repositories on algorithmic trading with Python.

Grab the repo here: