Posts con #Pythonic
#Pythonic
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LEARN an Engineering Software... If you're in Mechanical Engineering, learn AutoCAD, SolidWorks, MATLAB and ANSYS. In Chemical Engineering, learn Aspen HYSYS, Aspen Plus and MATLAB. In Civil Engineering, learn AutoCAD Civil 3D, Revit, and ETABS. In Electrical Engineering, learn MATLAB/Simulink, ETAP, AutoCAD Electrical and PLC programming software. In Petroleum Engineering, learn PETREL, Eclipse, PROSPER and PIPESIM. In Mechatronics Engineering, learn MATLAB/Simulink, SolidWorks, LabVIEW and TIA Portal. In Agricultural Engineering, learn AutoCAD, SolidWorks, MATLAB and ArcGIS. In Computer Engineering, learn Python, MATLAB, Proteus and Multisim. In Structural Engineering, learn ETABS, SAFE, and Tekla Structures. In Environmental Engineering, learn ArcGIS, EPANET, SWMM and MATLAB. Learn at least one engineering software before you graduate.MATLAB @MATLABWhy did racing cars start bouncing down the straights? Using MATLAB Agentic Toolkit, this visual helps students explore the physics of porpoising. Lower ride height creates more downforce. Too low, and airflow can detach, reducing downforce and allowing the car to rise again.225231320.1K
MATLAB@MATLABWhy did racing cars start bouncing down the straights? Using MATLAB Agentic Toolkit, this visual helps students explore the physics of porpoising. Lower ride height creates more downforce. Too low, and airflow can detach, reducing downforce and allowing the car to rise again.22616618.2K
Which programming language is best to learn as a beginner ?? 1) JAVA 2) Python 3) C++ 4) JavaScript12161538.4K
Python Quiz: What is the Output? A) 5 B) 7 C) 8 D) 49524530270K
Name a programming language better than Python. I'll wait.8841167.5K
Robin Lovelace@robinlovelaceAs part of the Introduction to Data Science sessions, I've set-up GitHub Codespaces to run Python and R code natively, no installation steps needed! Amazing that all you need to run data science code now is a browser (and in this case a GitHub account)🚀0191204.4K
unixporn@bot_unixporn[ Hyprland ] Better Hyprland v1.0 - A Unified Custom Shell and Desktop Experience (Python/PyQt6) Link: #unixporn #linux #screenshot0101425.5K
UNCENSOR ANY AI MODEL ON YOUR OWN GAMING PC heretic 2.0 just dropped and it strips the censorship out of open models with no retraining how to set it up: 1. install python 3.10 or newer 2. install pytorch 2.6+ for your gpu 3. open terminal and install heretic pip install -U heretic-llm 4. run it on any hugging face model heretic Qwen/Qwen3-4B-Instruct-2507 5. save it, upload to hugging face, chat with it, or run benchmarks if you have low vram then turn on 4-bit mode22222269.1K
THESE 2 FREE REPOS SHOULD HONESTLY BE ILLEGAL. ONE PENGU SHORT, OPEN SINCE SATURDAY, +$405 PER $10,000, AND THE GROK BOT DESK STILL WON'T CLOSE IT. they're openai-agents-python and the mcp servers repo. 122k github stars between them. here's how it works: > 5 roles hand off in a line: triage → scout → analyst → trader → risk > every volume spike goes into the memory server. 116 notes since friday > the pm makes a call on every 5-minute bar of pengu here's how to run it: 1 → pip install openai-agents 2 → add the memory and time mcp servers 3 → watch the trail line before you touch anything honestly the trail line is the part i keep watching. it follows the short down and would lock in +1.43% if it's hit. i'd have closed this trade on day one. where the pm stands now is on screen in the clip (visualization). bookmark this ↓Roan @RohOnChainif you want to build an AI trading system from scratch, start with this article you will end up with real market data, real backtests and a bot that trades for you 24/710234889
if you want to build an AI trading system from scratch, start with this article you will end up with real market data, real backtests and a bot that trades for you 24/71872361.7K2.6M
Python Quiz: 🧠 Only 1% of coders get this right on the first try! Comment your answer 💯37812314.1K

Your backend needs to handle 100,000 requests per second. Which framework are you trusting? A. Node.js + Express B. Python + FastAPI C. Go + Gin D. Java + Spring Boot101816843.9K
Download this 371-page PDF “Guide to NumPy” (from MIT) for deepening your Python programming expertise:03592.9K
GPT 6.1 sol once it realizes there's python in PATH:Krzysiek Daukszewicz @daukszuPiękny manewr.14502.2K52.7K
Beginner Python vs. Python Pro: The Difference Is in the Details! Beginners write code that works. Professionals write code that is clean, readable, reliable, and easy to maintain. Here’s what changes as you grow as a Python developer: ✅ Understand syntax errors and indentation ✅ Use type hints and meaningful function names ✅ Write clean, reusable code ✅ Handle errors properly ✅ Follow PEP 8 guidelines ✅ Debug your code and write tests ✅ Use libraries like Pandas effectively The goal isn't just to make your code run. It's to make it better. Unlock your full potential in Python with 100 practical, real-world projects designed to take you from complete beginner to confident developer. This book is hands-on, structured, and explanation-focused — perfect for students, self-learners, and working professionals who want to learn by building, not just reading. Books:53526217.4K
Anthropic might ban my subscription after this... opus 5.5 + 20 github repos = an agent team that f*cking never logs off. 6 claude code agents in one tmux: a lead, a planner, two coders, a reviewer, ops. they plan, code, test and review. i just approve the PRs. the whole stack is open source, 1.2M+ stars combined: THE CORE > claude-code (154k★): the engine every agent runs in > claude-agent-sdk-python (8.4k★): build your own agents in code > ruflo (80k★): the team lead that hands tasks to the swarm > crewAI (60k★): roles + handoffs between agents > langgraph (44k★): long jobs that survive a crash THE STAFF > wshobson/agents (42k★): a marketplace of specialist agents > awesome-claude-code-subagents (26k★): 100+ subagents, backend to security > superpowers (307k★): the team's rules. plan, test, review PARALLEL > claude-squad (8.7k★): many agents at once, each in its own workspace > vibe-kanban (28k★): the kanban board the agents work from MEMORY > mem0 (68k★): long-term memory > graphiti (32k★): one shared knowledge graph for the team TOOLS > MCP servers (92k★): files, git, web > github-mcp-server (34k★): issues, PRs, code > browser-use (119k★): agents that work in a browser > composio (31k★): 1000+ apps, Slack to Notion 24/7 INFRA > E2B (14.6k★): sandboxes where agents run code safely > temporal (24k★): schedules, retries, restarts after a crash > claude-code-action (9.7k★): the night shift on new issues + PRs > langfuse (37k★): every step, every error, one dashboard the board keeps moving.Gipp 🦅 @gippp693271005.4K

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