80 lines
2.7 KiB
Markdown
80 lines
2.7 KiB
Markdown
# Full Customized Progress Map
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**Status:** 28% complete — Week 1 Day 2 finished 🚀
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## Student Profile
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* **Background:** Experienced Full-Stack Web Developer (JavaScript, PHP, SQL, HTML, CSS, Python)
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* **Primary Goals:** System Administration, Security, Algorithms & Low-Level Programming
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* **Cert Path:** CompTIA A+ → CCNA → Security+
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* **Learning Style:** Project-based, hands-on, practical labs
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* **Setup:** Linux host + Windows VM, VS Code with extensions installed
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---
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## Week 1 Progress
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### Day 1: Variables, Types & Algorithm Foundations
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**Languages Covered:** C, Python, Bash, PowerShell (conceptual C++, C#, SQL comparisons)
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**Mini-Project:** Cross-Platform System Information CLI / Input Validation CLI
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**Exercises:**
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* Hello Name Input
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* Character Counting
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* Length Validation
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* First Character Validation
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* Full Input Sanitization
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### Day 2: Conditionals & Loops in Python
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**Languages Covered:** Python 3.12
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**Concepts Learned:**
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* Translating C-style algorithms into Python
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* `if`, `elif`, `else` conditional structures
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* Boolean operators: `and`, `or`, `not`
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* Looping over strings and collections (`for ch in string`, `for user in list`)
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* Input validation across multiple items
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* Early exit with `break` for efficiency
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* Algorithmic thinking in Python: character counting, validation, and loop analysis
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* Time complexity: T(n) for loops, T(m, n) for nested loops
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* Security-aware practices (ASCII checks vs `isalpha()`, defensive coding for empty input)
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**Exercises Completed:**
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1. Even/Odd number checker
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2. Count letters in a string
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3. Rebuild C username validator in Python
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4. Validate list of usernames
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5. Algorithm runtime analysis (linear scaling, T(m, n) = m × n)
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**Key Learnings / Memories:**
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* Python hides memory details, but algorithmic logic is the same
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* Conditional logic and loop behavior mirrors C, reinforcing Day 1 concepts
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* Defensive coding is critical for sysadmin/security tasks
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* Linear time complexity in loops and nested loops is fundamental to performance and security analysis
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* Security insight: validation must be explicit to avoid Unicode or special-character pitfalls
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**Next Objectives:**
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* Week 1 Day 3: SQL — conditional queries, filtering, and algorithmic thinking
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* Apply conditional logic in database queries
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* Compare SQL filtering with procedural languages
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* Analyze query runtime in a similar T(n) mindset
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**Practice Recommendations:**
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* Reimplement Day 1 and Day 2 validation logic in Bash and PowerShell for cross-platform practice
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* Explore Python built-ins (`isalpha()`, `isdigit()`) and compare with ASCII-based logic
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* Start thinking about applying loops and conditionals to database queries in SQL
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---
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**Status Update:** Day 2 completed, ready to move to Day 3 (SQL — conditionals & filtering)
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