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app.py
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| 1 |
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#!/usr/bin/env python3
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"""
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app.py
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A Streamlit application that displays a densified, numbered skillβtree overview.
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| 6 |
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It includes:
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| 7 |
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1. A Combined Overall Skill Tree Model in a numbered Markdown outline.
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| 8 |
+
2. Detailed numbered outlines for each subβmodel with emojiβlabeled skills.
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| 9 |
+
3. An overall combined Mermaid diagram showing interβarea relationships with relationship labels and enhanced emojis.
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| 10 |
+
4. A Glossary defining key terms.
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| 11 |
+
5. A Python Libraries Guide and a JavaScript Libraries Guide with package names and emoji labels.
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| 12 |
+
6. A Picture Mnemonic Outline to aid memorization.
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| 13 |
+
7. A Tweet Summary for a highβresolution overview.
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| 14 |
+
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| 15 |
+
Each node or term is annotated with an emoji and a mnemonic acronym to aid readability.
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| 16 |
+
For example:
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| 17 |
+
- Leadership and Collaboration (LeCo)
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| 18 |
+
- Security and Compliance (SeCo)
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| 19 |
+
- Data Engineering (DaEn)
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| 20 |
+
- Community OpenSource (CoOS)
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| 21 |
+
- FullStack UI Mobile (FuMo)
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| 22 |
+
- Software Cloud MLOps (SCMI)
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| 23 |
+
- Machine Learning AI (MLAI)
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| 24 |
+
- Systems Infrastructure (SyIn)
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| 25 |
+
- Specialized Domains (SpDo)
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| 26 |
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"""
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import streamlit as st
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import streamlit.components.v1 as components
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def render_mermaid(mermaid_code, height=500):
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| 32 |
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html_code = f"""
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| 33 |
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<html>
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| 34 |
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<head>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/mermaid.min.js"></script>
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| 36 |
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<style>
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| 37 |
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body {{
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| 38 |
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background-color: white;
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| 39 |
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font-family: sans-serif;
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| 40 |
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}}
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| 41 |
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</style>
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| 42 |
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</head>
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| 43 |
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<body>
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| 44 |
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<div class="mermaid">
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| 45 |
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{mermaid_code}
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</div>
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| 47 |
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<script>
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| 48 |
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mermaid.initialize({{startOnLoad:true}});
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</script>
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| 50 |
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</body>
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| 51 |
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</html>
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"""
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components.html(html_code, height=height)
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# --------------------------
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| 56 |
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# Markdown Outlines as Variables
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# --------------------------
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| 58 |
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| 59 |
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md_combined_outline = r'''
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| 60 |
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# π Hands On State of Art App Dev Using Mixture of Experts, Skills Knowledge, and Multiagent ML Architectures
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| 61 |
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1. **π₯ Leadership and Collaboration (LeCo):** Strategic leadership and team management.
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| 62 |
+
2. **π Security and Compliance (SeCo):** Security operations, compliance, and system hardening.
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| 63 |
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3. **π Data Engineering (DaEn):** Data processing, analytics, and governance.
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| 64 |
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4. **π’ Community OpenSource (CoOS):** Community engagement, documentation, and collaboration.
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| 65 |
+
5. **π± FullStack UI Mobile (FuMo):** Mobile and web app development with ML integration.
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| 66 |
+
6. **π» Software Cloud MLOps (SCMI):** Cloud infrastructure, ML frameworks, and automation.
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| 67 |
+
7. **π€ Machine Learning AI (MLAI):** Large-scale architectures, distributed training, and inference.
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| 68 |
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8. **π§ Systems Infrastructure (SyIn):** Hardware, OS, and distributed HPC deployments.
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| 69 |
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9. **π― Specialized Domains (SpDo):** Advanced CV, robotics, HPC, and AI quantization.
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| 70 |
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'''
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md_submodels_outline = r'''
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## 1. π₯ Leadership Management Collaboration (LeCo)
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| 74 |
+
1. **π Strategic and Cross-Functional Leadership:** Global strategy, team coordination and vendor management.
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| 75 |
+
2. **π€ Team Building and Agile Collaboration:** Coaching, agile processes and stakeholder management.
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| 76 |
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3. **π‘ Domain Expertise and Innovation:** Deep AI framework knowledge and product strategy.
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| 77 |
+
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| 78 |
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## 2. π Security Compliance Reliability (SeCo)
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| 79 |
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1. **π‘οΈ Security Operations and Incident Response:** Incident management, pen testing and vulnerability assessment.
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| 80 |
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2. **β
Compliance and Governance:** Data quality standards, compliance policies and IAM solutions.
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| 81 |
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3. **π System Hardening and Automation:** Secure HPC, ML, Python, Bash automation and cost optimization.
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| 82 |
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| 83 |
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## 3. π Data Engineering Analytics Data Governance (DaEn)
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| 84 |
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1. **π§ Data Processing and Ingestion:** Multi-modal data, event handling and ETL pipelines.
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| 85 |
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2. **π Analytics, Forecasting and Visualization:** BI tools, dashboards and forecasting.
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| 86 |
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3. **π Data Governance and Quality:** Data modeling, warehousing and stakeholder communications.
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## 4. π’ Community OpenSource Communication (CoOS)
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| 89 |
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1. **π Technical Documentation and Demos:** Code examples, demos and technical notebooks.
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| 90 |
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2. **π¬ Community Engagement and Collaboration:** Public speaking, social media engagement and collaborations.
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| 91 |
+
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| 92 |
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## 5. π± FullStack UI Mobile Product Development (FuMo)
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| 93 |
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1. **π± Mobile and Web App Development:** Full-stack development, CI/CD and API design.
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| 94 |
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2. **π¨ UI/UX and Frontend Integration:** React/Next.js, TypeScript and user-centric UI design.
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| 95 |
+
3. **π Backend and Cross-Platform Tools:** Python/Node, cloud microservices and ML bridging.
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| 96 |
+
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| 97 |
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## 6. π» Software Cloud MLOps Infrastructure (SCMI)
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| 98 |
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1. **π οΈ Developer Tooling and Observability:** Full-stack development, debugging and SRE practices.
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| 99 |
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2. **π€ ML Frameworks and Automation:** Python APIs, PyTorch, Keras and distributed frameworks (Ray, Horovod).
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| 100 |
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3. **π Data Pipelines and Processing:** Spark, Airflow and ETL pipelines.
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4. **βοΈ Cloud and Infrastructure Provisioning:** Kubernetes, Docker, Terraform and cloud integration.
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| 102 |
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| 103 |
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## 7. π€ Machine Learning AI Model Development (MLAI)
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| 104 |
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1. **ποΈ Large-Scale Architectures and Retrieval:** Transformers, RAG and vector databases.
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2. **βοΈ Experimentation and Distributed Training:** Reinforcement learning, quantization and ablation studies.
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3. **π‘ Application and API Development:** Agentic AI, LLM inference and microservices.
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4. **π Optimization and Monitoring:** Performance tuning, scaling and reliability.
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## 8. π§ Systems Infrastructure LowLevel Engineering (SyIn)
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1. **π§ Hardware and OS Integration:** Linux, embedded systems, C/C++ integrations.
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2. **βοΈ Performance and Tuning:** Cross-layer tuning, throughput modeling and load balancing.
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3. **π€ Advanced ML and Automation:** Cross-team innovation, observability and ServiceNow automation.
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4. **π Distributed and HPC Deployment:** Data-center HPC/ML, GPU orchestration and multi-GPU pipelines.
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## 9. π― Specialized Domains Emerging Technologies (SpDo)
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1. **π₯ Advanced CV and 3D Graphics:** Neural rendering, reconstruction and graphics engines.
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2. **π Robotics and Autonomous Systems:** Autonomous vehicles, sensor fusion and path planning.
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3. **π» HPC and Hardware Integration:** GPU/SoC modeling, HPC networking and prototyping.
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4. **π’ AI Quantization and Inference:** Quantization techniques, in-browser inference and neural sparse models.
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'''
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md_glossary = r'''
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# π Glossary
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1. **π§ Systems Infrastructure (SyIn):** Hardware and OS-level operations enabling computing environments.
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| 125 |
+
2. **π» Software Cloud MLOps (SCMI):** Tools and processes for managing ML workflows and cloud infrastructures.
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| 126 |
+
3. **π€ Machine Learning AI (MLAI):** Techniques and architectures for developing and deploying AI models.
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| 127 |
+
4. **π Data Engineering (DaEn):** Methods for processing, analyzing, and governing data.
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| 128 |
+
5. **π Security and Compliance (SeCo):** Practices ensuring system security and adherence to regulations.
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| 129 |
+
6. **π₯ Leadership and Collaboration (LeCo):** Strategies for effective team management and cross-functional coordination.
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| 130 |
+
7. **π± FullStack UI Mobile (FuMo):** End-to-end development of mobile and web interfaces integrating ML.
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| 131 |
+
8. **π― Specialized Domains (SpDo):** Focus areas in advanced tech such as computer vision, robotics, and HPC.
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| 132 |
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9. **π’ Community OpenSource (CoOS):** Engagement with open-source communities and technical education.
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| 133 |
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10. **HPC (π):** High-Performance Computing; large-scale computational systems and clusters.
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| 134 |
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11. **LLM (π§ ):** Large Language Models; deep learning models for natural language processing.
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| 135 |
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12. **MLOps (βοΈ):** Machine Learning Operations; practices for deploying and managing ML systems.
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| 136 |
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'''
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md_python_libraries = r'''
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# π Python Libraries Guide
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1. **π₯ TensorFlow (tensorflow) -** Deep learning library for research and production.
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| 141 |
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2. **π€ Huggingface Hub (huggingface_hub) -** Platform for sharing and accessing pre-trained models.
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| 142 |
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3. **π Transformers (transformers) -** Library for NLP and model inference.
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| 143 |
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4. **π₯ Torch (torch) -** PyTorch library for dynamic deep learning.
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| 144 |
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5. **π Streamlit (streamlit) -** Rapidly build interactive ML web apps.
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| 145 |
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6. **ποΈ Gradio (gradio) -** Create customizable web interfaces for ML models.
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| 146 |
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7. **πΌ Pandas (pandas) -** Data manipulation and analysis.
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| 147 |
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8. **π’ NumPy (numpy) -** Numerical computing and array operations.
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| 148 |
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9. **π¬ LangChain (langchain) -** Framework for building applications with language models.
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| 149 |
+
10. **π€ OpenAI (openai) -** API for accessing GPT models and AI services.
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| 150 |
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11. **π Azure MSAL (msal) -** Authentication library for Azure services.
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| 151 |
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12. **βοΈ Scikit-learn (scikit-learn) -** Machine learning tools for data mining and analysis.
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| 152 |
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13. **π Matplotlib (matplotlib) -** Plotting library for data visualization.
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| 153 |
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14. **π Seaborn (seaborn) -** Statistical data visualization.
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| 154 |
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15. **π Plotly (plotly) -** Interactive graphing library.
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| 155 |
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16. **π NLTK (nltk) -** Natural language processing toolkit.
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| 156 |
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17. **π§ͺ SciPy (scipy) -** Scientific and technical computing.
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| 157 |
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18. **β‘ FastAPI (fastapi) -** Build fast APIs for ML applications.
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| 158 |
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19. **π Dask (dask) -** Parallel computing with task scheduling.
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| 159 |
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20. **π Requests (requests) -** HTTP library for Python.
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| 160 |
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'''
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md_js_libraries = r'''
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| 163 |
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# π» JavaScript Libraries Guide
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1. **π₯ React (react) -** Library for building UI components.
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| 165 |
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2. **βοΈ Redux (redux) -** Predictable state container for JavaScript apps.
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| 166 |
+
3. **π Node.js (node) -** JavaScript runtime for building server-side applications.
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| 167 |
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4. **π» Express (express) -** Web framework for Node.js.
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| 168 |
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5. **π D3.js (d3) -** Library for dynamic, interactive data visualizations.
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| 169 |
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6. **π Chart.js (chart.js) -** Simple yet flexible charting library.
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| 170 |
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7. **π Webpack (webpack) -** Module bundler for JavaScript applications.
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| 171 |
+
8. **βοΈ Babel (babel) -** Transpiler for next-generation JavaScript.
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| 172 |
+
9. **π Next.js (next) -** React framework for server-side rendering.
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| 173 |
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10. **π¨ Tailwind CSS (tailwindcss) -** Utility-first CSS framework for rapid UI development.
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| 174 |
+
11. **π jQuery (jquery) -** DOM manipulation library.
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| 175 |
+
12. **π Lodash (lodash) -** Utility library for JavaScript.
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| 176 |
+
13. **β° Moment.js (moment) -** Date library for parsing, validating and formatting dates.
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| 177 |
+
14. **π‘ Axios (axios) -** Promise-based HTTP client.
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| 178 |
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15. **π¬ Socket.io (socket.io) -** Real-time communication library.
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| 179 |
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16. **πΌ Vue.js (vue) -** Progressive framework for building user interfaces.
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| 180 |
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17. **π
°οΈ Angular (angular) -** Platform for building mobile and desktop web applications.
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| 181 |
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18. **π₯ Ember.js (ember) -** Framework for creating ambitious web applications.
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| 182 |
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19. **π Mermaid.js (mermaid) -** Library for generating diagrams and flowcharts.
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| 183 |
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20. **π Three.js (three) -** Library for creating 3D graphics in the browser.
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| 184 |
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'''
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# --------------------------
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# Mermaid Diagrams (using graph LR)
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# --------------------------
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mermaid_areas = {
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"1. π₯ Leadership and Collaboration (LeCo)": r'''
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graph LR
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LC[π₯ Leadership and Collaboration (LeCo)]
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LC --> LeCo1a[π Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management]
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LC --> LeCo1b[π€ Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management]
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LC --> LeCo1c[π‘ Domain Expertise and Innovation - Deep AI knowledge and product strategy]
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''',
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"2. π Security and Compliance (SeCo)": r'''
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graph LR
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SC[π Security and Compliance (SeCo)]
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SC --> SeCo1[π‘οΈ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment]
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SC --> SeCo2[β
Compliance and Governance - Data quality, compliance polici
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