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- import streamlit as st
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- import streamlit.components.v1 as components
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-
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- # --------------------------
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- # Mermaid Renderer Function
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- # --------------------------
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- def render_mermaid(mermaid_code, height=300):
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- """Render a mermaid diagram using an HTML snippet in a Streamlit component."""
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- html_code = f"""
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- <html>
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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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- <style>
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- body {{
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- background-color: white;
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- font-family: sans-serif;
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- }}
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- </style>
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- </head>
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- <body>
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- <div class="mermaid">
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- {mermaid_code}
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- </div>
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- <script>
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- mermaid.initialize({{startOnLoad:true}});
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- </script>
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- </body>
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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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- # --------------------------
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- # Markdown Outlines for Each Area
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- # --------------------------
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- markdown_areas = {
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- "1. ๐Ÿ‘ฅ Leadership Management Collaboration LeCo": r'''
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- 1. ๐Ÿ‘ฅ Leadership Management Collaboration LeCo
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- ''',
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- "2. ๐Ÿ”’ Security Compliance Reliability SeCo": r'''
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- 2. ๐Ÿ”’ Security Compliance Reliability SeCo
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- ''',
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- "3. ๐Ÿ“Š Data Engineering Analytics Data Governance DaEn": r'''
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- 3. ๐Ÿ“Š Data Engineering Analytics Data Governance DaEn
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- ''',
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- "4. ๐Ÿ“ข Community OpenSource Communication CoOS": r'''
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- 4. ๐Ÿ“ข Community OpenSource Communication CoOS
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- ''',
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- "5. ๐Ÿ“ฑ FullStack UI Mobile Product Development FuMo": r'''
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- 5. ๐Ÿ“ฑ FullStack UI Mobile Product Development FuMo
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- ''',
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- "6. ๐Ÿ’ป Software Cloud MLOps Infrastructure SCMI": r'''
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- 6. ๐Ÿ’ป Software Cloud MLOps Infrastructure SCMI
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- ''',
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- "7. ๐Ÿค– Machine Learning AI Model Development MLAI": r'''
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- 7. ๐Ÿค– Machine Learning AI Model Development MLAI
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- ''',
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- "8. ๐Ÿ”ง Systems Infrastructure LowLevel Engineering SyIn": r'''
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- 8. ๐Ÿ”ง Systems Infrastructure LowLevel Engineering SyIn
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- ''',
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- "9. ๐ŸŽฏ Specialized Domains Emerging Technologies SpDo": r'''
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- 9. ๐ŸŽฏ Specialized Domains Emerging Technologies SpDo
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- '''
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- }
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-
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- # --------------------------
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- # Mermaid Diagrams for Each Area
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- # --------------------------
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- mermaid_areas = {
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- "1. ๐Ÿ‘ฅ Leadership Management Collaboration LeCo": r'''
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- graph LR
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- LeCo["๐Ÿ—ผLeCo๐Ÿ‘ฅ Leadership and Collaboration"]
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- LeCo -->|๐Ÿš€ Guides| LeCo1a["1. ๐Ÿš€ Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management"]
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- LeCo -->|๐Ÿค Supports| LeCo1b["2. ๐Ÿค Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management"]
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- LeCo -->|๐Ÿ’ก Innovates| LeCo1c["3. ๐Ÿ’ก Domain Expertise and Innovation - Deep AI knowledge and product strategy"]
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- ''',
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- "2. ๐Ÿ”’ Security Compliance Reliability SeCo": r'''
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- graph LR
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- SeCo["๐Ÿ‘“SeCo๐Ÿ”’ Security and Compliance"]
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- SeCo -->|๐Ÿ›ก๏ธ Protects| SeCo1["1. ๐Ÿ›ก๏ธ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment"]
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- SeCo -->|โœ… Regulates| SeCo2["2. โœ… Compliance and Governance - Data quality, compliance policies and IAM"]
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- SeCo -->|๐Ÿ”’ Secures| SeCo3["3. ๐Ÿ”’ System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization"]
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- ''',
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- "3. ๐Ÿ“Š Data Engineering Analytics Data Governance DaEn": r'''
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- graph LR
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- DaEn["๐Ÿช‘DaEn๐Ÿ“Š Data Engineering"]
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- DaEn -->|๐Ÿ’ง Processes| DaEn1["1. ๐Ÿ’ง Data Processing and Ingestion - Multi-modal data, event handling and ETL"]
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- DaEn -->|๐Ÿ“Š Analyzes| DaEn2["2. ๐Ÿ“Š Analytics, Forecasting and Visualization - BI, dashboards and forecasting"]
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- DaEn -->|๐Ÿ“ Governs| DaEn3["3. ๐Ÿ“ Data Governance and Quality - Modeling, warehousing and stakeholder communications"]
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- ''',
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- "4. ๐Ÿ“ข Community OpenSource Communication CoOS": r'''
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- graph LR
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- CoOS["๐ŸชŸCoOS๐Ÿ“ข Community OpenSource"]
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- CoOS -->|๐Ÿ“š Documents| CoOS1["1. ๐Ÿ“š Technical Documentation and Demos - Code examples, demos and notebooks"]
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- CoOS -->|๐Ÿ’ฌ Engages| CoOS2["2. ๐Ÿ’ฌ Community Engagement and Collaboration - Public speaking, social media and collaborations"]
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- ''',
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- "5. ๐Ÿ“ฑ FullStack UI Mobile Product Development FuMo": r'''
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- graph LR
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- FuMo["โœ‹FuMo๐Ÿ“ฑ FullStack UI Mobile"]
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- FuMo -->|๐Ÿ“ฑ Develops| FuMo1["1. ๐Ÿ“ฑ Mobile and Web App Development - Full stack development, CI/CD and API design"]
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- FuMo -->|๐ŸŽจ Designs| FuMo2["2. ๐ŸŽจ UI, UX and Frontend Integration - React, Next.js, TypeScript and intuitive design"]
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- FuMo -->|๐Ÿ”Œ Connects| FuMo3["3. ๐Ÿ”Œ Backend and Cross-Platform Tools - Python, Node, cloud microservices and ML bridging"]
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- ''',
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- "6. ๐Ÿ’ป Software Cloud MLOps Infrastructure SCMI": r'''
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- graph LR
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- SoCM["๐ŸŽฒSoCM๐Ÿ’ป Software Cloud MLOps"]
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- SoCM -->|๐Ÿ› ๏ธ Optimizes| SCMI1["1. ๐Ÿ› ๏ธ Developer Tooling and Observability - Full stack dev, debugging and SRE practices"]
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- SoCM -->|๐Ÿค– Automates| SCMI2["2. ๐Ÿค– ML Frameworks and Automation - Python APIs, PyTorch, Keras and Ray, Horovod"]
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- SoCM -->|๐Ÿ”„ Pipelines| SCMI3["3. ๐Ÿ”„ Data Pipelines and Processing - Spark, Airflow and ETL pipelines"]
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- SoCM -->|โ˜๏ธ Deploys| SCMI4["4. โ˜๏ธ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration"]
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- ''',
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- "7. ๐Ÿค– Machine Learning AI Model Development MLAI": r'''
112
- graph LR
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- AIML["โ˜๏ธAIML๐Ÿค– AI Machine Learning"]
114
- AIML -->|๐Ÿ›๏ธ Structures| MLAI1["1. ๐Ÿ›๏ธ Large-Scale Architectures and Retrieval - Transformers, RAG and vector DBs"]
115
- AIML -->|โš—๏ธ Experiments| MLAI2["2. โš—๏ธ Experimentation and Distributed Training - RL, quantization and ablation studies"]
116
- AIML -->|๐Ÿ“ก Deploys| MLAI3["3. ๐Ÿ“ก Application and API Development - Agentic AI, LLM inference and microservices"]
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- AIML -->|๐Ÿ“ˆ Optimizes| MLAI4["4. ๐Ÿ“ˆ Optimization and Monitoring - Performance tuning, scaling and reliability"]
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- ''',
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- "8. ๐Ÿ”ง Systems Infrastructure LowLevel Engineering SyIn": r'''
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- graph LR
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- SyIn["๐ŸšชSyIn๐Ÿ”ง Systems Infrastructure"]
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- SyIn -->|๐Ÿง Integrates| SyIn1["1. ๐Ÿง Hardware and OS Integration - Linux, embedded, C, C++"]
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- SyIn -->|โš™๏ธ Tunes| SyIn2["2. โš™๏ธ Performance and Tuning - Cross-layer tuning, throughput and load balancing"]
124
- SyIn -->|๐Ÿค– Enhances| SyIn3["3. ๐Ÿค– Advanced ML and Automation - Cross-team innovation, observability and ServiceNow"]
125
- SyIn -->|๐Ÿš€ Scales| SyIn4["4. ๐Ÿš€ Distributed and HPC Deployment - Data center HPC, ML, GPU orchestration and multi-GPU pipelines"]
126
- ''',
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- "9. ๐ŸŽฏ Specialized Domains Emerging Technologies SpDo": r'''
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- graph LR
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- SpDo["๐ŸฑSpDo๐ŸŽฏ Specialized Domains"]
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- SpDo -->|๐ŸŽฅ Visualizes| SpDo1["1. ๐ŸŽฅ Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines"]
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- SpDo -->|๐Ÿš— Automates| SpDo2["2. ๐Ÿš— Robotics and Autonomous Systems - Autonomous vehicles, sensor fusion and path planning"]
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- SpDo -->|๐Ÿ’ป Computes| SpDo3["3. ๐Ÿ’ป HPC and Hardware Integration - GPU, SoC modeling, HPC networking and prototyping"]
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- SpDo -->|๐Ÿ”ข Quantizes| SpDo4["4. ๐Ÿ”ข AI Quantization and Inference - Quantization, in-browser inference and neural sparse models"]
134
- '''
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- }
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-
137
- # --------------------------
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- # Markdown Sections
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- # --------------------------
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-
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- md_combined_outline = r'''
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- # ๐Ÿ“š Hands On ML App. Dev. with Mixture of Experts and Multiagent Skills and State of Art ML Architecture
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- 1. ๐Ÿ—ผLeCo๐Ÿ‘ฅ Leadership and Collaboration : Strategic leadership and team management.
144
- 2. ๐Ÿ‘“SeCo๐Ÿ”’ Security and Compliance : Security operations, compliance, and system hardening.
145
- 3. ๐Ÿช‘DaEn๐Ÿ“Š Data Engineering : Data processing, analytics, and governance.
146
- 4. ๐ŸชŸCoOS๐Ÿ“ข Community OpenSource : Community engagement, documentation, and collaboration.
147
- 5. โœ‹FuMo๐Ÿ“ฑ FullStack UI Mobile : Mobile and web app development with ML integration.
148
- 6. ๐ŸŽฒSoCM๐Ÿ’ป Software Cloud MLOps : Cloud infrastructure, ML frameworks, and automation.
149
- 7. โ˜๏ธAIML๐Ÿค– AI Machine Learning : Largeโ€“scale architectures, distributed training, and inference.
150
- 8. ๐ŸšชSyIn๐Ÿ”ง Systems Infrastructure : Hardware, OS, and distributed HPC deployments.
151
- 9. ๐ŸฑSpDo๐ŸŽฏ Specialized Domains : Advanced CV, robotics, HPC, and AI quantization.
152
- '''
153
-
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- md_submodels_outline = r'''
155
- ## 1. ๐Ÿ‘ฅ Leadership Management Collaboration LeCo
156
- 1. **๐Ÿš€ Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management**
157
- 2. **๐Ÿค Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management**
158
- 3. **๐Ÿ’ก Domain Expertise and Innovation - Deep AI framework knowledge and product strategy**
159
-
160
- ## 2. ๐Ÿ”’ Security Compliance Reliability SeCo
161
- 1. **๐Ÿ›ก๏ธ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment**
162
- 2. **โœ… Compliance and Governance - Data quality standards, compliance policies and IAM solutions**
163
- 3. **๐Ÿ”’ System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization**
164
-
165
- ## 3. ๐Ÿ“Š Data Engineering Analytics Data Governance DaEn
166
- 1. **๐Ÿ’ง Data Processing and Ingestion - Multi, modal data, event handling and ETL pipelines**
167
- 2. **๐Ÿ“Š Analytics, Forecasting and Visualization - BI, dashboards and forecasting**
168
- 3. **๐Ÿ“ Data Governance and Quality - Modeling, warehousing and stakeholder comms**
169
-
170
- ## 4. ๐Ÿ“ข Community OpenSource Communication CoOS
171
- 1. **๐Ÿ“š Technical Documentation and Demos - Code examples, demos and notebooks**
172
- 2. **๐Ÿ’ฌ Community Engagement and Collaboration - Public speaking, social media and collabs**
173
-
174
- ## 5. ๐Ÿ“ฑ FullStack UI Mobile Product Development FuMo
175
- 1. **๐Ÿ“ฑ Mobile and Web App Development - Full stack development, CI/CD and API design**
176
- 2. **๐ŸŽจ UI, UX and Frontend Integration - React, Next.js, TypeScript and intuitive design**
177
- 3. **๐Ÿ”Œ Backend and Cross-Platform Tools - Python, Node, cloud microservices and ML bridging**
178
-
179
- ## 6. ๐Ÿ’ป Software Cloud MLOps Infrastructure SoCM
180
- 1. **๐Ÿ› ๏ธ Developer Tooling and Observability - Full stack dev, debugging and SRE practices**
181
- 2. **๐Ÿค– ML Frameworks and Automation - Python APIs, PyTorch, Keras and Ray, Horovod**
182
- 3. **๐Ÿ”„ Data Pipelines and Processing - Spark, Airflow and ETL pipelines**
183
- 4. **โ˜๏ธ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration**
184
-
185
- ## 7. ๐Ÿค– AI Machine Learning Model Development AIML
186
- 1. **๐Ÿ›๏ธ Large-Scale Architectures and Retrieval - Transformers, RAG and vector DBs**
187
- 2. **โš—๏ธ Experimentation and Distributed Training - RL, quantization and ablation studies**
188
- 3. **๐Ÿ“ก Application and API Development - Agentic AI, LLM inference and microservices**
189
- 4. **๐Ÿ“ˆ Optimization and Monitoring - Performance tuning, scaling and reliability**
190
-
191
- ## 8. ๐Ÿ”ง Systems Infrastructure LowLevel Engineering SyIn
192
- 1. **๐Ÿง Hardware and OS Integration - Linux, embedded, C, C++**
193
- 2. **โš™๏ธ Performance and Tuning - Cross-layer tuning, throughput and load balancing**
194
- 3. **๐Ÿค– Advanced ML and Automation - Cross-team innovation, observability and ServiceNow**
195
- 4. **๐Ÿš€ Distributed and HPC Deployment - Data center HPC, ML, GPU orchestration and multi-GPU pipelines**
196
-
197
- ## 9. ๐ŸŽฏ Specialized Domains Emerging Technologies SpDo
198
- 1. **๐ŸŽฅ Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines**
199
- 2. **๐Ÿš— Robotics and Autonomous Systems - Autonomous vehicles, sensor fusion and path planning**
200
- 3. **๐Ÿ’ป HPC and Hardware Integration - GPU, SoC modeling, HPC networking and prototyping**
201
- 4. **๐Ÿ”ข AI Quantization and Inference - Quantization, in-browser inference and neural sparse models**
202
- '''
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-
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- md_glossary = r'''
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- # ๐Ÿ“– Glossary
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- 1. **๐Ÿ”ง Systems Infrastructure SyIn:** Hardware and OS, level operations enabling computing environments.
207
- 2. **๐Ÿ’ป Software Cloud MLOps SCMI:** Tools and processes for managing ML workflows and cloud infrastructures.
208
- 3. **๐Ÿค– Machine Learning AI MLAI:** Techniques and architectures for developing and deploying AI models.
209
- 4. **๐Ÿ“Š Data Engineering DaEn:** Methods for processing, analyzing and governing data.
210
- 5. **๐Ÿ”’ Security and Compliance SeCo:** Practices ensuring system security and adherence to regulations.
211
- 6. **๐Ÿ‘ฅ Leadership and Collaboration LeCo:** Strategies for effective team management and cross-functional coordination.
212
- 7. **๐Ÿ“ฑ FullStack UI Mobile FuMo:** End-to-end development of mobile and web interfaces integrating ML.
213
- 8. **๐ŸŽฏ Specialized Domains SpDo:** Focus areas in advanced tech such as computer vision, robotics and HPC.
214
- 9. **๐Ÿ“ข Community OpenSource CoOS:** Engagement with open-source communities and technical education.
215
- 10. **HPC:** High Performance Computing; large-scale computational systems and clusters.
216
- 11. **LLM:** Large Language Models; deep learning models for natural language processing.
217
- 12. **MLOps:** Machine Learning Operations; practices for deploying and managing ML systems.
218
- '''
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-
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- md_python_libraries = r'''
221
- # ๐Ÿ Python Libraries Guide
222
- 1. **๐Ÿ”ฅ TensorFlow (tensorflow) -** Deep learning library for research and production.
223
- 2. **๐Ÿค— Huggingface Hub (huggingface_hub) -** Platform for sharing and accessing pre-trained models.
224
- 3. **๐Ÿ”„ Transformers (transformers) -** Library for NLP and model inference.
225
- 4. **๐Ÿ”ฅ Torch (torch) -** PyTorch library for dynamic deep learning.
226
- 5. **๐Ÿš€ Streamlit (streamlit) -** Rapidly build interactive ML web apps.
227
- 6. **๐ŸŽ™๏ธ Gradio (gradio) -** Create customizable web interfaces for ML models.
228
- 7. **๐Ÿผ Pandas (pandas) -** Data manipulation and analysis.
229
- 8. **๐Ÿ”ข NumPy (numpy) -** Numerical computing and array operations.
230
- 9. **๐Ÿ’ฌ LangChain (langchain) -** Framework for building applications with language models.
231
- 10. **๐Ÿค– OpenAI (openai) -** API for accessing GPT models and AI services.
232
- 11. **๐Ÿ”‘ Azure MSAL (msal) -** Authentication library for Azure services.
233
- 12. **โš™๏ธ Scikit-learn (scikit-learn) -** Machine learning tools for data mining and analysis.
234
- 13. **๐Ÿ“ˆ Matplotlib (matplotlib) -** Plotting library for data visualization.
235
- 14. **๐Ÿ” Seaborn (seaborn) -** Statistical data visualization.
236
- 15. **๐Ÿ“Š Plotly (plotly) -** Interactive graphing library.
237
- 16. **๐Ÿ“š NLTK (nltk) -** Natural language processing toolkit.
238
- 17. **๐Ÿงช SciPy (scipy) -** Scientific and technical computing.
239
- 18. **โšก FastAPI (fastapi) -** Build fast APIs for ML applications.
240
- 19. **๐Ÿ›  Dask (dask) -** Parallel computing with task scheduling.
241
- 20. **๐Ÿ”— Requests (requests) -** HTTP library for Python.
242
- '''
243
-
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- md_js_libraries = r'''
245
- # ๐Ÿ’ป JavaScript Libraries Guide
246
- 1. **๐Ÿ”ฅ React (react) -** Library for building UI components.
247
- 2. **โš›๏ธ Redux (redux) -** Predictable state container for JavaScript apps.
248
- 3. **๐ŸŒ Node.js (node) -** JavaScript runtime for building server-side applications.
249
- 4. **๐Ÿ’ป Express (express) -** Web framework for Node.js.
250
- 5. **๐Ÿ”— D3.js (d3) -** Library for dynamic, interactive data visualizations.
251
- 6. **๐Ÿ“Š Chart.js (chart.js) -** Simple yet flexible charting library.
252
- 7. **๐Ÿ›  Webpack (webpack) -** Module bundler for JavaScript applications.
253
- 8. **โš™๏ธ Babel (babel) -** Transpiler for next-generation JavaScript.
254
- 9. **๐Ÿš€ Next.js (next) -** React framework for server-side rendering.
255
- 10. **๐ŸŽจ Tailwind CSS (tailwindcss) -** Utility-first CSS framework for rapid UI development.
256
- 11. **๐ŸŒ€ jQuery (jquery) -** DOM manipulation library.
257
- 12. **๐Ÿ” Lodash (lodash) -** Utility library for JavaScript.
258
- 13. **โฐ Moment.js (moment) -** Date library for parsing, validating and formatting dates.
259
- 14. **๐Ÿ“ก Axios (axios) -** Promise-based HTTP client.
260
- 15. **๐Ÿ’ฌ Socket.io (socket.io) -** Real-time communication library.
261
- 16. **๐Ÿ–ผ Vue.js (vue) -** Progressive framework for building user interfaces.
262
- 17. **๐Ÿ…ฐ๏ธ Angular (angular) -** Platform for building mobile and desktop web applications.
263
- 18. **๐Ÿ”ฅ Ember.js (ember) -** Framework for creating ambitious web applications.
264
- 19. **๐Ÿ“Š Mermaid.js (mermaid) -** Library for generating diagrams and flowcharts.
265
- 20. **๐ŸŽ‡ Three.js (three) -** Library for creating 3D graphics in the browser.
266
- '''
267
-
268
- md_picture_mnemonic = r'''
269
- # ๐Ÿ–ผ Picture Mnemonic Outline
270
- 1. **๐Ÿ—ผ Lighthouse -** Represents #1, a beacon of guidance.
271
- 2. **๐Ÿ‘“ Eyeglasses -** Symbolizes #2, two lenses for clarity.
272
- 3. **๐Ÿช‘ Stool -** Denotes #3, three legs for stability.
273
- 4. **๐ŸชŸ Window -** Four panes, representing #4.
274
- 5. **โœ‹ Hand -** Five fingers for #5.
275
- 6. **๐ŸŽฒ Dice -** Six sides symbolizing #6.
276
- 7. **โ˜๏ธ Cloud -** For #7, light and airy.
277
- 8. **๐Ÿšช Gate -** Represents #8, opening new paths.
278
- 9. **๐Ÿฑ Cat -** Nine lives, symbolic of #9.
279
-
280
- **Mnemonic:** A mnemonic is a memory aid using patterns or associations to enhance recall. Here, we apply the pegword technique by pairing each number with a vivid image to quickly remember complex information.
281
- *(Adapted from McCarthy, M. J. 2007. Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster. [1])*
282
-
283
- [1] McCarthy, M. J. 2007. *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from https://www.example.com/reference
284
- '''
285
-
286
- md_tweet = r'''
287
- # ๐Ÿฆ Tweet Summary
288
- Unlock your AI mastery with our densified skill tree - from LC to SD - each node paired with powerful mnemonics and vivid visuals (๐Ÿ—ผ๐Ÿ‘“๐Ÿช‘๐ŸชŸโœ‹๐ŸŽฒโ˜๏ธ๐Ÿšช๐Ÿฑ) to boost memory and innovation. #AI #ML #Learning #Innovation
289
- '''
290
-
291
- # --------------------------
292
- # Combined Mermaid Diagram (Overview)
293
- # --------------------------
294
- combined_mermaid = r'''
295
- graph TD
296
- LeCo["1. ๐Ÿ‘ฅ Leadership and Collaboration - LeCo"]
297
- SeCo["2. ๐Ÿ”’ Security and Compliance - SeCo"]
298
- DaEn["3. ๐Ÿ“Š Data Engineering - DaEn"]
299
- CoOS["4. ๐Ÿ“ข Community Open Source - CoOS"]
300
- FuMo["5. ๐Ÿ“ฑ FullStack UI Mobile - FuMo"]
301
- SoCM["6. ๐Ÿ’ป Software Cloud MLOps - SoCM"]
302
- AIML["7. ๐Ÿค– AI Machine Learning - AIML"]
303
- SyIn["8. ๐Ÿ”ง Systems Infrastructure - SyIn"]
304
- SpDo["9. ๐ŸŽฏ Specialized Domains - SpDo"]
305
-
306
- LeCo -->|๐Ÿงญ guides| SeCo
307
- LeCo -->|๐Ÿ‘‘ leads| AIML
308
- LeCo -->|๐Ÿค supports| SyIn
309
- SeCo ---|๐Ÿ”’ secures| AIML
310
- SeCo ---|๐Ÿ›ก๏ธ protects| SoCM
311
- AIML -->|๐Ÿ’ง feeds| DaEn
312
- SoCM -->|โšก powers| AIML
313
- FuMo ---|๐Ÿ”Œ integrates with| SoCM
314
- FuMo -->|โž• extends to| SpDo
315
- SpDo ---|โœจ enhances| AIML
316
- LeCo ---|๐Ÿ‘๏ธ oversees| SoCM
317
- CoOS ---|๐Ÿค collaborates with| LeCo
318
- CoOS ---|๐Ÿ—ฃ๏ธ informs| DaEn
319
- SpDo ---|๐Ÿ”„ shares with| CoOS
320
- '''
321
-
322
- # --------------------------
323
- # Streamlit App Layout
324
- # --------------------------
325
- def main():
326
- st.set_page_config(page_title="Densified Skill Tree", layout="wide")
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-
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- # Optionally render combined outlines and submodels if desired:
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- st.markdown(md_combined_outline, unsafe_allow_html=True)
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- #st.markdown(md_submodels_outline, unsafe_allow_html=True)
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-
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- # For each numbered area, display its markdown outline first, then its mermaid diagram.
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- for key in sorted(markdown_areas.keys(), key=lambda k: int(k.split('.')[0])):
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- st.markdown(markdown_areas[key], unsafe_allow_html=True)
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- if key in mermaid_areas:
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- render_mermaid(mermaid_areas[key], height=350)
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-
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- # Render the combined mermaid diagram for an overview
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- render_mermaid(combined_mermaid, height=850)
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-
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- # Display additional markdown sections
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- st.markdown(md_glossary, unsafe_allow_html=True)
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- st.markdown(md_python_libraries, unsafe_allow_html=True)
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- st.markdown(md_js_libraries, unsafe_allow_html=True)
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- st.markdown(md_picture_mnemonic, unsafe_allow_html=True)
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- st.markdown(md_tweet, unsafe_allow_html=True)
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-
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- if __name__ == "__main__":
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- main()