Software Engineering Learning Paths

A structured collection of learning paths covering fundamental and advanced software engineering topics. Built as a Hugo static site with the Book theme.

Live site: https://kyngo.github.io/learning-paths/

Purpose

This repository provides in-depth, technically rigorous learning material for software engineers at any level. The paths are designed to be:

• Progressive — each topic builds from foundational concepts to advanced patterns
• Practical — theory is paired with real-world examples and exercises
• Clear — complex topics are explained as simply as the subject allows, without sacrificing technical accuracy

Learning Paths

Path	Description
Programming Logic	Algorithms, data structures, control flow, computational thinking
DSA Interview Prep	Sliding window, two pointers, trees, heaps, backtracking, binary search
Databases & SQL	Relational design, SQL mastery, indexing, transactions, NoSQL
Data Engineering	ETL/ELT, data lakes, warehouses, Spark, Airflow, Kafka, dbt
Database Internals	B-trees, LSM trees, WAL, MVCC, query planning, buffer pools, storage engines
System Design	Scalability, load balancing, caching, distributed systems
Distributed Systems	Consensus, replication, CRDTs, vector clocks, partitioning, distributed transactions
Software Architecture	Design patterns, clean architecture, DDD, event-driven systems
APIs & Web Services	REST, authentication, GraphQL, webhooks, rate limiting
Testing & Quality	Unit/integration/e2e testing, TDD, property testing, performance
Operating Systems	Processes, memory, file systems, I/O, concurrency, containers
Python	Python language from basics to advanced patterns
Java	Java ecosystem, OOP, concurrency, enterprise patterns
PHP	PHP from basics to modern frameworks (Laravel, Symfony)
Go	Goroutines, channels, interfaces, standard library, modules, patterns
Rust	Ownership, borrowing, lifetimes, traits, async, systems programming
C / C++	Memory management, pointers, compilation, STL, modern C++, systems programming
JavaScript / TypeScript / Node.js	Full JS ecosystem including types and server-side
Android (Kotlin + Jetpack Compose)	Kotlin language, coroutines, Jetpack Compose UI, navigation, architecture
Swift and SwiftUI	Apple development — Swift language and SwiftUI framework
Frontend Development	CSS, browser APIs, responsive design, accessibility
Progressive Web Apps	Service workers, offline-first, push notifications, Web APIs
Terraform	Infrastructure as Code with Terraform
Amazon Web Services	AWS cloud services and architecture
Cloud Architecture Patterns	12-factor, multi-account, migration strategies, serverless, multi-cloud, cost architecture
DevOps & CI/CD	Pipelines, GitLab CI, GitHub Actions, GitOps, DORA metrics
Observability	Metrics, logs, traces, Prometheus, Grafana, Datadog, SLOs, alerting
Kubernetes	Pods, deployments, networking, Helm, security, operations
Scripting	Shell scripting, automation, text processing
Tools	Git, Docker, SSH, Apache, Nginx, package management
Git Advanced	Internals, rebase, reflog, hooks, workflows at scale
Networking	TCP/IP, DNS, HTTP, subnetting, network architecture
Mathematics for Engineers	Number systems, algebra, discrete math, linear algebra, probability, statistics, calculus, information theory
Machine Learning	Regression, classification, clustering, feature engineering, scikit-learn, MLOps
IT Fundamentals	Operating systems, hardware, computer assembly, security basics
Cybersecurity	Threat landscape, cryptography, OSINT, offensive/defensive security
Web Security	OWASP Top 10, XSS, CSRF, OAuth 2.0, OIDC, transport security, API security
AI and Large Language Models	Neural networks, transformers, LLMs, RAG, agents, MCP, prompt engineering
Soft Skills	Communication, leadership, collaboration, career growth

Structure

Content lives under content/paths/. Each learning path has its own folder with an _index.md and numbered section files:

content/paths/
├── python/
│   ├── _index.md
│   ├── 01-basics.md
│   ├── 02-data-structures.md
│   └── ...
├── tools/
│   ├── _index.md
│   ├── 01-git.md
│   ├── 02-docker.md
│   └── ...
└── ...

Local Development

# Prerequisites: Hugo extended (v0.164.0+)
brew install hugo

# Run dev server
hugo server

# Build
hugo --gc --minify

Recommended Order for Beginners

IT Fundamentals → Programming Logic → Python → Scripting → Networking → AWS

Or for web development:

Programming Logic → JavaScript/TypeScript/Node.js → Frontend Development → Terraform → AWS

Deployment

Deployed automatically to GitHub Pages via GitHub Actions on push to master.