Data Structures & Algorithms Cheat Sheets + Coding Tracker

DATA STRUCTURES & ALGORITHMS CHEAT SHEET BUNDLE + INTERACTIVE CODING PRACTICE TRACKER

Learn, practice, visualize, and track Data Structures & Algorithms with a complete digital study system designed for students, self-learners, future developers, and coding interview preparation.

IMPORTANT

The main product is a full INTERACTIVE HTML DSA STUDY TRACKER.

It is NOT an Excel spreadsheet.

WHAT’S INCLUDED

• 48 high-yield DSA cheat sheets in PDF
• 48 matching high-resolution PNG cheat sheets
• Full interactive HTML DSA Study Tracker
• 72-topic mastery tracker
• 1,200 practice questions
• 620 flashcards
• 60 coding challenges
• Step-by-step solution strategies
• JavaScript reference solutions
• Python reference solutions
• Interactive DSA visualizers
• Insert, Delete, Search + Traverse controls
• BST Insert, Delete, Search + Traverse
• Step-by-step Min Heap insertion
• BFS + DFS visualizations
• Merge Sort visualizer
• Quick Sort visualizer
• Bubble Sort visualizer
• Binary Search visualizer
• Mistake Log
• Mistake Type Breakdown
• Accuracy Trend analytics
• Weak Area Analyzer
• Recommended Focus
• Targeted Practice Plan
• Spaced Repetition
• Automatic review scheduling
• Study Planner
• Habit Tracker
• Smart Notes
• Goals + Target Tracker
• Progress Reports
• Interview Prep workflow
• 11 fictional practice datasets
• 5 blank CSV templates
• 5 sample CSV templates with fictional data
• Quick Start Guide PDF
• User Guide PDF
• Study Tips PDF
• Complete 72-Topic List PDF
• Personal-Use License PDF
• Supporting CSS, JavaScript + SVG resources
• Clearly labeled START HERE tracker file

CORE DATA STRUCTURES

Study:

• Arrays
• Linked Lists
• Stacks
• Queues
• Hash Tables
• Sets
• Trees
• Binary Search Trees
• Tree Traversals
• Heaps
• Priority Queues
• Graphs
• Tries
• Deques
• Union-Find
• And more

ARRAYS + LINKED LISTS

Review:

• Array access
• Search
• Insert + Delete
• Indexed storage
• Linked nodes
• Singly linked lists
• Doubly linked lists
• Circular linked lists
• Common applications
• Time + space complexity

STACKS + QUEUES

Study:

• LIFO
• FIFO
• Push
• Pop
• Peek
• Enqueue
• Dequeue
• Front
• Expression parsing
• Undo / redo
• BFS
• Scheduling

HASH TABLES + SETS

Review:

• Hash functions
• Key-value storage
• Collisions
• Chaining
• Open addressing
• Rehashing
• Load factor
• Membership testing
• Duplicate removal
• Frequency counting

TREES + BINARY SEARCH TREES

Study:

• Nodes
• Root
• Parent + child
• Leaves
• Height + depth
• Binary trees
• BST properties
• Search
• Insert
• Delete
• Inorder traversal
• Preorder traversal
• Postorder traversal
• Level-order traversal

The interactive tracker includes dedicated BST controls for:

• Insert
• Delete
• Search
• Traverse

HEAPS + PRIORITY QUEUES

Learn:

• Min Heaps
• Max Heaps
• Heap properties
• Insert
• Extract
• Peek
• Heapify
• Build Heap
• Priority Queues
• Scheduling
• Top-K problems
• Dijkstra
• Prim

Includes step-by-step Min Heap insertion practice.

GRAPHS + BFS + DFS

Study:

• Vertices + edges
• Directed graphs
• Undirected graphs
• Weighted graphs
• Adjacency Lists
• Adjacency Matrices
• BFS
• DFS
• Cycle Detection
• Connected Components
• Topological Sort
• Shortest Paths

The tracker includes dedicated Run BFS and Run DFS visualizations.

SORTING + SEARCHING

Includes:

• Linear Search
• Binary Search
• Bubble Sort
• Selection Sort
• Insertion Sort
• Merge Sort
• Quick Sort
• Heap Sort
• Counting Sort
• Radix Sort

Interactive visualizers include:

• Merge Sort
• Quick Sort
• Bubble Sort
• Binary Search

RECURSION + BACKTRACKING

Study:

• Base Cases
• Recursive Cases
• Call Stack
• Recursive problem solving
• Backtracking
• N-Queens
• Sudoku
• Subsets
• Permutations
• Word Search
• Graph Coloring
• Constraint problems

BIG-O + TIME & SPACE COMPLEXITY

Review:

• O(1)
• O(log n)
• O(n)
• O(n log n)
• O(n²)
• O(2^n)
• O(n!)
• Best Case
• Average Case
• Worst Case
• Time Complexity
• Space Complexity
• Amortized Analysis

ALGORITHM PATTERNS

Study:

• Two Pointers
• Sliding Window
• Prefix Sums
• Hashing
• Divide & Conquer
• Greedy
• Backtracking
• Dynamic Programming
• Shortest Path Patterns
• Interval Problems

GREEDY ALGORITHMS

Topics include:

• Activity Selection
• Fractional Knapsack
• Huffman Coding
• Dijkstra’s Algorithm
• Kruskal’s Algorithm
• Prim’s Algorithm
• Job Scheduling
• Interval Scheduling

DYNAMIC PROGRAMMING

Study:

• Memoization
• Tabulation
• Fibonacci
• Climbing Stairs
• 0/1 Knapsack
• Longest Common Subsequence
• Longest Increasing Subsequence
• Coin Change
• Edit Distance
• Matrix-style DP
• Common DP patterns

1,200 PRACTICE QUESTIONS

Includes:

• Multiple Choice
• Algorithm Tracing
• Complexity Analysis
• Code Review
• Concept Questions
• Problem-Solving Practice

620 FLASHCARDS

Use the built-in spaced repetition system to review key concepts.

Review ratings:

• Again
• Hard
• Good
• Easy

Your rating automatically schedules the next review.

60 CODING CHALLENGES

Practice coding problems covering:

• Arrays
• Linked Lists
• Stacks
• Queues
• Hash Tables
• Trees
• Graphs
• Sorting
• Searching
• Recursion
• Backtracking
• Dynamic Programming
• Greedy Algorithms

Each challenge includes:

• Problem prompt
• Difficulty
• Step-by-step strategy
• Time complexity
• Space complexity
• JavaScript reference solution
• Python reference solution

INTERACTIVE VISUALIZERS

Practice with visual tools for:

• Arrays
• Linked Lists
• Stacks
• Queues
• Binary Search Trees
• Min Heaps
• Graph BFS
• Graph DFS
• Binary Search
• Bubble Sort
• Merge Sort
• Quick Sort

MISTAKE LOG + WEAK AREA ANALYZER

Track:

• Topic
• Problem
• Mistake Type
• Root Cause
• Correct Fix
• Status
• Date
• Notes

Analytics include:

• Mistake Type Breakdown
• Accuracy Trend
• Weak Area Analysis
• Recommended Focus
• Targeted Practice Plan

SPACED REPETITION + STUDY PLANNER

Plan and review:

• Study sessions
• Study duration
• Weekly habits
• Flashcard reviews
• Upcoming review dates
• Weak topics
• Coding practice
• Progress goals

SMART NOTES

Features include:

• Topic-based notes
• Tags
• Quick summaries
• Favorites
• Rich text formatting
• Search
• TXT export
• CSV export

NOTE TEMPLATES

Includes:

• Concept Summary
• Problem Pattern
• Complexity Note
• Mistake Reflection

GOALS + PROGRESS REPORTS

Track:

• Topics Mastered
• Questions Solved
• Practice Accuracy
• Coding Challenges
• Flashcards Reviewed
• Study Time
• Notes
• Mistakes
• Strengths
• Areas to Improve

INTERVIEW PREP WORKFLOW

Practice a structured problem-solving process:

1. Understand the problem
2. Identify inputs, outputs + constraints
3. Choose the right data structure or pattern
4. Implement the solution
5. Analyze time + space complexity
6. Test edge cases
7. Compare alternative approaches

11 FICTIONAL PRACTICE DATASETS

Includes data for:

• Arrays
• Linked Lists
• Graphs
• Binary Search Trees
• Heaps
• Sorting
• Dynamic Programming
• Intervals
• Complexity
• Practice History
• Interview Problems

5 BLANK CSV TEMPLATES

• Study Planner
• Task Tracker
• Mistake Log
• Notes Template
• Progress Tracker

5 SAMPLE CSV TEMPLATES

Fictional completed examples are included so you can see how each template may be used.

FILE TYPES

• HTML
• PDF
• PNG
• CSV
• JSON
• TXT
• CSS
• JavaScript
• SVG

COMPATIBILITY

The interactive tracker opens in a modern web browser.

Core tracker features work offline after download.

Compatible with modern browsers on:

• Windows
• Mac
• Desktop / Laptop
• Tablet
• Mobile

Display may vary depending on device and screen size.

DIGITAL DOWNLOAD

This is a digital product.

No physical item will be shipped.

EDUCATIONAL DISCLAIMER

This resource is intended for educational and informational purposes only.

It does not provide professional employment, interview, certification, academic, or career advice.

No academic, certification, interview, employment, or professional outcome is guaranteed.

PERSONAL-USE LICENSE

For personal educational use only.

Files may not be resold, redistributed, shared, sublicensed, publicly uploaded, repackaged, or commercially reproduced.

Thank you for supporting TheDigitalAttic1.