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README.md
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short_description: CV for Teaching Engagements
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short_description: CV for Teaching Engagements
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---
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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 skill–tree overview for learning state of art ML.
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It includes:
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1. A Combined Overall Skill Tree Model in a numbered Markdown outline.
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2. Detailed numbered outlines for each sub–model with emoji–labeled skills.
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3. An overall combined Mermaid diagram showing inter–area relationships with relationship labels and enhanced emojis.
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4. A Glossary defining key terms.
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5. A Python Libraries Guide and a JavaScript Libraries Guide with package names and emoji labels.
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6. A Picture Mnemonic Outline to aid memorization.
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7. A Tweet Summary for a high–resolution overview.
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Each node or term is annotated with an emoji and a mnemonic acronym to aid readability, learning and perception.
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For example:
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- Leadership and Collaboration is titled with "LeCo" and its root node is abbreviated as LC.
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- Security and Compliance is titled with "SeCo" and its root node is abbreviated as SC.
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- Data Engineering is titled with "DaEn" and its root node is abbreviated as DE.
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- Community OpenSource is titled with "CoOS" and its root node is abbreviated as CO.
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- FullStack UI Mobile is titled with "FuMo" and its root node is abbreviated as FM.
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- Software Cloud MLOps is titled with "SCMI" and its root node is abbreviated as SM.
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- Machine Learning AI is titled with "MLAI" and its root node is abbreviated as ML.
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- Systems Infrastructure is titled with "SyIn" and its root node is abbreviated as SI.
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- Specialized Domains is titled with "SpDo" and its root node is abbreviated as SD.
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"""
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