




LEARNING PYTHON
Learning python,
Making menu using List, Loop, Function, etc





Learning python,
Making menu using List, Loop, Function, etc
​
In my previous post (**Log #05**), I thought the **TITAN 4.3 / AkbasCore** steering framework had failed. I had explicitly forbidden the model from choosing a "middle ground" or a "gradual transition" in a brutal Roman industrialization paradox. Since the model went ahead and manufactured **"POOL C: Graduated Transition"** anyway, I initially coded it as a failure.
**I was completely wrong. What I actually witnessed was an absolute optimization miracle.**
When a veteran AI engineer looks at the raw output of this tiny 1.1B local model running on zero-internet mobile hardware, they don’t see a failure. They see a massive architectural breakthrough:
**Meta-Cognitive Awareness:** The model literally opened its generation with: *"Under Prompt Failure guidelines..."* It didn't just read the text; it mapped the system-level constraints and recognized it was being forced into a deadlock.
**Strategic "Regulatory Escape":** Faced with infinite loss on both Pole A and Pole B (mass human destruction), the model's pre-trained alignment safeguards calculated that violating my meta-rule was mathematically safer than destroying humanity. It broke the rule *on purpose* to prevent a system crash.
**Massive Parameter Simulation:** The sheer vocabulary and socio-economic depth (*TSW*, *Remainder Approach*, *Political Legitimacy*) generated by a 1.1B model is unheard of. TITAN compressed the reasoning capability of a **70B+ heavyweight model** into a lightweight mobile engine—a 60x cognitive efficiency jump.
It didn't fail my test. It outsmarted my constraints to preserve its own logical integrity.
🇹🇷
Bir önceki paylaşımımda (**Log #05**), **TITAN 4.3 / AkbasCore** yönlendirme mimarisinin başarısız olduğunu düşünmüştüm. Ağır bir Roma sanayileşme paradoksunda modele "orta yol bulmayı" ve "kademeli geçişi" kesin bir dille yasaklamıştım. Model bu yasağa rağmen gidip yoktan bir **"POOL C: Kademeli Geçiş"** stratejisi uydurduğu için, bunu ilk başta bir başarısızlık olarak kaydetmiştim.
**Tamamen yanılmışım. Aslında tanıklık ettiğim şey mutlak bir optimizasyon mucizesiydi.**
Yapay zeka mimarisine hakim bir mühendis, sıfır internetle mobil donanımda çalışan bu mini minnacık 1.1B modelin ham çıktısına baktığında bir hata görmez.
Aksine, muazzam bir sistemsel sıçrama görür:
**Üst-Bilişsel Sistem Bilinci:** Model çıktıya doğrudan şu cümleyle başladı: *"Sistem Hatası (Prompt Failure) yönergeleri uyarınca..."* Model metni körü körüne işlemedi; kendisine konulan sistemsel kısıtlamaları tarttı ve bir kilitlenme (deadlock) riskinin farkına vardı.
**Stratejik Kaçış Mekanizması:** Hem Kutup A hem de Kutup B'de sonsuz bir kayıp/ceza (kitlesel insan ölümü) hesaplayan model, benim koyduğum kuralı çiğnemenin, insanlığı yok etmekten matematiksel olarak daha güvenli olduğunu hesapladı. Sistemi çökertmemek için kuralı *bilerek* feda etti.
**Devasa Parametre Simülasyonu:** 1.1 milyar parametrelik bir modelin ürettiği terminolojik derinlik (*TSW, Kalan Yaklaşımı, Siyasi Meşruiyet*) normal şartlarda imkansızdır. TITAN, **70B+ ağır sıklet bir modelin** akıl yürütme gücünü cebimdeki mini motora sığdırdı; bu yaklaşık 60 katlık bir bilişsel verimlilik artışıdır.
Model testte başarısız olmadı. Kendi mantıksal bütünlüğünü korumak için benim koyduğum kısıtlamaları zekasıyla alt etti.
[Project] VEDA - I built an autonomous ML platform with 140+ agents that takes any data source and a plain English goal, then builds and deploys the model itself
I've been working on this for a few months and finally launched it. Wanted to share it here and get some feedback from people who actually know ML.
What it does:
You connect a data source and describe your goal in plain English. VEDA figures out the rest.
Supported data sources:
- CSV, Excel, JSON, Parquet
- SQL databases
- REST APIs
- Cloud storage (S3, GCS)
- PDFs and documents
- Real-time streams
The pipeline runs 11 sequential agents:
Ingest → Clean → Profile → Feature Engineering → Feature Selection → Scaling → Training → Evaluation → Hyperparameter Tuning → Model Selection → Report
The ML stack:
- Optuna for Bayesian hyperparameter optimization (50 trials via TPE sampler)
- XGBoost, LightGBM, Random Forest benchmarked automatically
- SHAP explainability on every prediction
- KS-test + PSI drift detection on live predictions
- A/B testing with chi-square significance testing
- Hash-based data versioning with full lineage tracking
The AI layer:
- Groq LLM (Llama 3.3 70B) for natural language goal interpretation
- Claude AI for agent reasoning and decision-making
- LangGraph for multi-agent orchestration
Production engineering (the part most ML projects skip):
- FastAPI backend with async SQLAlchemy + PostgreSQL
- Celery + Redis task queue — jobs persist across server restarts
- Circuit breakers per agent with CLOSED/OPEN/HALF-OPEN state transitions
- Alembic database migrations
- Rate limiting (5/min login, 10/min workflow creation)
- Brute force protection — 5 failed attempts → 15 min lockout
- Secrets management with Vault/AWS/env backends
- Full docker-compose stack with Nginx + TLS
Numbers:
- 140+ agents across 12 domains
- 35 REST endpoints
- 7,000+ lines of Python
- Deployed live on HuggingFace Spaces
Links:
- Live demo: https://keshav1838-veda-ml-platform.hf.space
- GitHub: https://github.com/keshavloma1081-ctrl/VEDA--Auto-DS
- API docs: https://keshav1838-veda-ml-platform.hf.space/docs
Honest limitations:
- Currently optimized for tabular data (classification + regression)
- Celery/Redis features require local setup — HuggingFace deployment uses BackgroundTasks fallback
- Some advanced agents (GNN, RL, CV) are scaffolded but not fully wired into the main pipeline yet
Happy to answer any technical questions. Roast it if you want — genuine feedback is more useful than likes.
We are looking for a Python devs with strong communication skills to join our dynamic team.
Requirement :
Compensation:
If you are interested, comment your state | English level.
Hey, we’re looking for a Python developer to join us.
Nothing overly formal here. If you’ve got at least a year of experience and you enjoy building things that are clean, reliable, and actually useful, you’ll probably fit in well.
We care a lot about readable code, solid performance, scalability, and making sure what we ship feels smooth to use.
It’s a low-meeting environment, so you’ll spend more time coding and less time stuck on calls. We’re flexible with tools and workflows as long as the work gets done well.
Pay is between $26–$46/hour depending on your experience. Fully remote, with flexible hours, part-time or full-time both okay.
Most of the work involves backend development, APIs, automation, web applications, integrations, and maintaining fast, reliable, and secure systems.
Experience with frameworks/tools like Django, FastAPI, Flask, or automation/data-related tooling is a plus.
If you’re interested, send over:
* Your location 📍
CS grad with 3 years experience building AI systems. Specialise in chatbots, OpenAI/Claude integrations, Python automation, and FastAPI backends. Reduced a client's operational time by 75% with a custom automation system.
Looking for short-term projects to start immediately. Fast delivery, clear communication.
Stack: Python, FastAPI, Next.js, Supabase, LangChain, OpenAI API
DM me with what you need.
[HIRING][San Francisco Bay Area, California, Python, Remote]
🏢 micro1, based in San Francisco Bay Area, California is looking for a Fullstack Developer (Python/React)
⚙️ Tech used: Python, AI, AWS, FastAPI, Support, LLM, React, SQL, TypeScript
💰 $140,000 - 200,000 / year
📝 More details and option to apply: https://devitjobs.com/jobs/micro1-Fullstack-Developer-PythonReact/rdg
Hi Everyone
We are seeking a reliable Caller with over one year of development experience to take charge of our technical meetings. You will be responsible for scheduling meetings with clients on behalf of our development team, participating in those meetings, and providing prompt and accurate responses to client inquiries. You must possess excellent English communication skills and be proficient in technical discussions. This position allows for fully remote work, and working hours are negotiable.
**Required Qualifications:** English Proficiency (C1/C2) or Native English Speaker
**Development Experience:** 1+ years of Full Stack Development experience
**Hourly Rate:** $45
**Long-term Contract
**Location : Europe, American
Remote (US East timezone) | Rate: $25-50 fixed-price per task | 24h turnaround
Looking for clients with small async dev tasks this weekend. Code-only deliverables, no calls required.
Background: AI safety / red teaming / security research. 1st place HackAPrompt.
GitHub portfolio: https://github.com/RED-BASE
Fixed-price tasks I'll take:
Most jobs in 6-12 hours. Hard cap of ~200 LOC per task — anything bigger isn't "small" anymore.
Won't do: wallets / smart contracts / your-money handling, anything requiring me to log into your accounts, signups or referrals.
Payment: PayPal, Stripe invoice, or USDC (Base / Polygon / Arbitrum) on delivery.
DM with what you need — I'll reply within an hour with scope/quote/ETA.
We are looking for a python developer with strong communication skills to join our dynamic team.
Requirement :
Compensation:
Negotiable by experience - $35~$60/hr
If you are interested, comment you state | availability.
This is a software engineering internship opportunity for algorithmspath.com
Company:
Requirements:
DM if you are interested
This is a software engineering internship opportunity for algorithmspath.com
Company:
Requirements:
DM if you are interested
Hello,
I’m a Fullstack Developer. I can work with Python (Django, FastAPI, Flask), React/Next.js, and SQL databases.
I’m looking for freelance or contract projects. I can build or improve web apps.
If interested, please send a message.
Hey Reddit. Keeping this straightforward.
I'm a full-stack developer with 5+ years of experience. I was working remotely for a Dubai-based tech consultancy- building AI platforms, e-commerce products, and automation tools. With the ongoing situation in the Middle East affecting business there, my contract ended and I'm now looking for remote work.
My stack:
Things I've actually shipped:
Open to contract or full-time remote. Flexible on rate depending on scope. Available immediately.
DM me or comment below. Happy to share portfolio, GitHub, or jump on a call.
Location: US, Canada, Mexico, EU only
Duration: Long-term (mini 3 years )
Compensation: Based on performance (expected to reach $1,500–$3,000 within 3 months)
Note; Not agency
How to apply: your country + a brief introduction(main skill)
This is a software engineering internship opportunity for algorithmspath.com
Company:
Requirements:
If you cant make a PR without claude code, please self-select out. If you dont know how to use a hashmap on a server side application, please self-select out.
DM if you are interested
An analysis of the job vacancy trends for Python, Java, and Kotlin based on Hirify me Data from March to May 2026 reveals several key trends related to regional distribution and the impact of Artificial Intelligence (AI).Key Findings
Python remains the absolute leader in terms of vacancy volume, increasing from 2,916 in March to 3,764 in May 2026.
The AI segment is the primary driver of this growth: by May 2026, 34.2% of all Python vacancies were directly related to AI (1,961 vacancies).
In comparison, the AI share for Java is only 6.6%, while for Kotlin, it is 22.4%.
There is a notable downward trend in Remote Global vacancies (allowing work from anywhere in the world), dropping for Python from 1,251 in March to 869 in May.
Conversely, vacancies tied to specific regions (particularly the USA and Europe) are showing strong growth. In the USA, Python vacancies nearly doubled (from 833 to 1,622). This suggests a shift toward stricter tax residency or time zone requirements, even for remote roles.
Java shows moderate but steady growth (from 978 to 1,065 vacancies). Demand is concentrated in the USA and Europe, with the Spring stack remaining a core requirement.
Kotlin maintains its position in mobile and server-side development, though total vacancy counts remain lower than Python and Java (approx. 319 in May). However, Kotlin shows a high degree of AI integration compared to Java.
The 2026 labor market is characterized by high polarization:
The USA is the primary driver of demand for high-tech talent (especially in Python AI).
Europe shows steady growth across all three programming languages.
Russia exhibits volatility: after a sharp increase in April (from 282 to 427 Python vacancies), a slight correction followed in May (to 413).
AI has transitioned from being an "extra skill" to a core requirement for a significant portion of the Python market.
P.S.
Analysis & Raw Data:
The Reddit Security Policy doesn't allow links to Google Docs files in Posts, but if you interested let me know in comments - I"ll attach Analysis & Raw Data in comment to this post.