Lets Learn #Python with tips and tricks. Free Python Course: https://xitter.twitterapi.xyz/t.co/l9NKxZWrh7 biz : pythonclcoding@gmail.com AI Community Partner. DM for Everything.
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Python for AI Bootcamp – Day 5 is LIVE!
Your journey from Python fundamentals to Artificial Intelligence continues! Join us for Day 5 and take another step towards building your AI skills.
Learn. Code. Build. Grow.
Watch LIVE on YouTube:
youtube.com/live/ufYPxKz4UnI
What will be the output of the following Python Code?
a, b = zip(*[(1, 2), (3, 4), (5, 6)])
print(sum(a) - sum(b))
71%-3
14%3
12%-6
3%6
59 votes • 19 hoursWant to learn how computers solve real-world problems using Python?
Programming for Computations – Python is a free book covering numerical simulations, computational methods, and practical Python programming.
A great resource for Python developers, students, and aspiring computational scientists.
Read / Get the FREE PDF: clcoding.com/2026/11/program…
Python Coding Challenge – Day 1310!
Think you know Python's heapq module?
Can you predict the output of this code without running it?
Test your Python skills, challenge yourself, and share your answer in the comments!
clcoding.com/2026/11/python-…
From powering the AI revolution to making headlines worldwide — Jensen Huang’s journey shows how one name can become synonymous with an entire industry.
Want to Start Your Career in Data Science?
This Data Science Bootcamp is a great starting point for anyone looking to explore Data Science and Machine Learning using R Programming.
What makes it interesting?
Learn Data Science fundamentals.
Explore Machine Learning concepts.
Build practical projects.
Submit your first Kaggle project.
Take your first step toward becoming a Data Scientist.
Rated 4.7/5 by learners
312 students enrolled
If you're planning to enter the world of Data Science, this is worth checking out!
Detailed Explanation: clcoding.com/2026/11/data-sc…
What if you could create your own Magical Neon Universe using Python?
With just a few lines of Python, you can generate a colorful universe filled with glowing particles, vibrant circles, and random cosmic patterns.
Using:
Python
PyMuPDF (fitz)
Random & Math modules
You can turn simple Python code into creative PDF artwork!
Turn raw geographic data into powerful spatial intelligence using Python!
Books: gumroad.com/products/wogfz/
Learning with Kernels: A Complete Guide to Support Vector Machines
Want to understand the mathematics and theory behind Support Vector Machines (SVMs)?
This book covers:
Support Vector Machines (SVMs)
Kernel Methods
Regularization Techniques
Optimization Algorithms
Adaptive Computation
Advanced Machine Learning Concepts
640 Pages of In-Depth Learning
A valuable resource for Machine Learning students, researchers, and AI enthusiasts.
Get the Free PDF: clcoding.com/2026/09/learnin…
Notes help AI agents remember what worked. Training helps them evolve from experience.
The real question is: what happens when agents don't just retrieve past knowledge but actually improve their models through continuous learning?
That's where things get interesting.
🤝 Paid partnership
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience.
On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
What will be the output of the following Python Code?
x = 12
print((x ^ 5) & (x | 3))
11%8
44%9
18%13
26%15
310 votes • 1 hoursLife changes your priorities.
Young: Time + Energy, but no Money.
Adult: Money, but no Time.
Old: Time + Money, but less Energy.
Programmer: No Time, No Money, No Energy, No Friends… and somehow still debugging at 2 AM.
Being a programmer is a different kind of life!
Which stage are you in?
Python for AI Bootcamp 2026 – Day 4 is LIVE!
We're moving forward on our journey to learn Python and explore Artificial Intelligence!
Join Day 4 of the CLCODING Python for AI Bootcamp and keep building the skills needed to work with modern AI technologies.
📺 Watch Day 4 LIVE on YouTube:
youtube.com/live/XdtfXs2jtns…
Learn. Code. Build. Grow.
Share this session with aspiring Python developers and AI enthusiasts!
🤖 Made with AI
What if your calendar reminded you to make a wish every time you saw 11:11?
Build a beautiful Python Wish Calendar using calendar and rich — and highlight November 11 (11/11) as your special wish day!
Books: This comprehensive guide features 100 carefully selected Python loop interview questions, designed to take you from beginner to advanced level.
gumroad.com/products/xnlub/
Python Pattern Challenge — Day 44!
Ready to test your Python logic and pattern-printing skills?
Today's challenge is designed to sharpen your problem-solving skills and help you think like a Python developer.
Can you solve it without looking at the solution?
Try it, share your output, and challenge your developer friends!
Challenge: clcoding.com/2026/11/python-…
Even the most advanced AI can’t save you from ignoring obvious red flags. 😂
Technology evolves. Common sense is still required.
Python Bootcamp: whatsapp.com/channel/0029Vb7…
The Complete LLM & Generative AI Developer Stack (2026)
Building AI applications is no longer just about choosing an LLM.
You need the right ecosystem of tools to build, connect, retrieve, evaluate, and deploy intelligent applications.
Here's a developer roadmap covering 9 essential categories:
LLMs: GPT, Gemini, Llama, Claude, DeepSeek, Qwen, Mistral
Frameworks: LangChain, LlamaIndex, Haystack, txtai
Vector Databases: Chroma, Pinecone, Qdrant, Milvus, Weaviate
Data Extraction: Crawl4AI, Firecrawl, ScrapeGraphAI, Docling
LLM Platforms & Inference: Hugging Face, Ollama, Groq, Together AI
Text Embeddings: Nomic, Sentence Transformers, OpenAI, Voyage AI, Cohere
Evaluation: Giskard, Ragas, DeepEval, Promptfoo, TruLens
Observability: Langfuse, LangSmith, Arize Phoenix, Helicone
Agent Frameworks: CrewAI, AutoGen, LangGraph, OpenAI Agents SDK
What should you learn first?
Start with Python, understand how LLM APIs work, build a RAG application, explore vector databases, and then move towards AI agents.
Don't try to learn every tool at once. Build real projects and understand when to use each technology.
📚 Learn AI & Agentic AI:
• AI Fundamentals for Beginners: clcoding.com/2026/04/ai-fund…
• Learn Agentic AI & Build Multi-Agent Systems: clcoding.com/2026/01/learn-a…
Save this roadmap and share it with someone learning Generative AI!
The AI world is getting crowded!
When you say Chinese AI models, everyone thinks of DeepSeek and Kimi. But the real competition is just getting started.
Learn AI: clcoding.com/2026/04/ai-fund…
Mathematical Analysis of Machine Learning Algorithms – Free PDF
Want to understand the mathematics behind Machine Learning algorithms?
This 417-page resource is worth exploring if you're interested in the theory behind modern ML.
Topics to strengthen your understanding:
Mathematical foundations of Machine Learning
Understanding algorithm behavior
Theoretical concepts behind ML models
Building a stronger foundation for AI and Data Science
Don't just learn how to use ML algorithms. Understand the mathematics behind how they work.
Free PDF: clcoding.com/2026/07/mathema…
