Book 0 — Computer Science Foundations

Before Python, you need enough computing fundamentals to understand why ML systems behave the way they do.

Computers

• What is a computer? / How programs execute — full deep-dive
• CPU
• RAM
• Storage
• GPU
• Registers
• Cache
• Instruction execution
• Binary, bits & bytes
• Number systems
• Memory addresses
• Processes vs threads
• Operating systems
• Files
• Networking basics

Programming Fundamentals

• Algorithms
• Flowcharts
• Pseudocode
• Variables & data
• Control flow
• Functions
• Modularity
• Abstraction
• Complexity

Data Structures

• Arrays — full deep-dive
• Linked lists, stacks & queues — full deep-dive
• Hash tables & sets — full deep-dive
• Trees, BST & Heaps — full deep-dive
• Graphs & tries — full deep-dive

Algorithms

• Algorithms — full deep-dive (Big-O/Ω/Θ, searching, sorting, recursion, divide & conquer, greedy, DP, graph algorithms)

Status

Complete deep-dive coverage of program execution on real hardware, plus the core data structures (arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs and tries) and the algorithm toolkit (asymptotic analysis, searching, sorting, recursion, divide & conquer, greedy and dynamic programming).