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A clean, structured learning path from basics to advanced Go programming.
- What is Go?
- Why Go? (Speed, Concurrency, Simplicity)
- Install Go (Windows / Mac / Linux)
- VS Code Setup + Extensions
- GOPATH vs GOROOT Explained
- Running Go Programs (run/build)
- Hello World
- Comments & Formatting (gofmt)
- Variables (var, short declarations)
- Constants (iota)
- Data Types (int, float, string, bool)
- Type Conversion
- Operators (Arithmetic, Logical, Comparison)
- String functions
- Rune vs Byte
- String formatting (fmt.Printf, Sprintf)
- Multi-line strings
- if / else
- switch (value & type)
- for loops (range, conditions)
- break, continue
- defer keyword (important)
- Basic functions
- Named return values
- Multiple returns
- Variadic functions
- Anonymous functions
- Closures
- Higher-order functions
- What is a module?
- go.mod explained
- Importing packages
- Creating your own package
- Multi-module workspace (Go 1.18+)
- Arrays
- Slices (make, append, capacity)
- Maps (CRUD)
- Copying slices & maps
- Deep vs shallow copy
- Structs basics
- Embedding (Goβs inheritance)
- Methods (value & pointer receivers)
- Custom types
- JSON Marshalling & Unmarshalling
- Pointer basics
- Pointer arithmetic (why Go doesnβt allow)
- Pointer receivers vs value receivers
- Empty interface (any)
- Type assertions
- Type switches
- Dependency injection pattern
- error type
- Custom errors
- Wrapping errors
- Panic, Recover
- Best error handling practices
- Type parameters
- Generic functions
- Generic structs
- Constraints
- Real-use cases
- What is concurrency?
- Goroutines
- Buffered & Unbuffered Channels
- Channel directions
- Select statement
- WaitGroups
- Mutex & RWMutex
- Deadlocks & Race Conditions
- Fan-in / Fan-out
- Worker pools
- Pipelines
- Context cancellation
- Rate limiting
- Timeouts
- Sync package
- Atomic operations
- Read/Write files
- Create/Delete files
- Buffer readers
- Working with JSON/YAML/TOML files
- HTTP servers (net/http)
- HTTP clients
- Handling requests/responses
- Middleware patterns
- REST API structure
- Routing (mux, echo, gin)
- Controllers & services
- DTOs
- Validation
- Error handling patterns
- SQL (MySQL, Postgres)
- Querying databases
- Prepared statements
- ORM (GORM)
- NoSQL (MongoDB driver)
- Unit testing (testing package)
- Benchmarks
- Table-driven tests
- Mocking
- Coverage reports
- To-do CLI tool
- Weather API
- REST API with database
- URL shortener
- Authentication system (JWT)
- Concurrency-based projects
- Build binaries
- Dockerizing Go apps
- Docker multi-stage builds
- Deploying to Render / Railway / EC2
- CI/CD basics
- go vet
- go fmt
- go env
- go build / run / install
- go test
- go mod tidy
- Go coding style guide
- Best practices
- Recommended books
- Official resources
- Next steps in Go
Go (Golang) is a modern programming language created at Google.
Its development began in 2007, and it was open-sourced in 2009.
Go was created with one clear objective:
Make programming simple, fast, and reliable without unnecessary complexity.
It blends:
- the performance & safety of compiled languages like C/C++,
- with the ease & flexibility of dynamic languages like Python.
Because of this, Go is clean, minimal, and excellent for building fast, scalable applicationsβespecially on multi-core systems.
Go is extremely easy to learn.
Its syntax is minimal and beginner-friendly, and the tools are powerful yet simple.
Go compiles down to machine code.
This makes it extremely fastβperfect for distributed systems like:
- Kubernetes
- Docker
- Cloudflare
Go has only 25 keywords, yet provides powerful features like:
- interfaces
- fast concurrency
- strong typing
Go is rapidly growing across startups, cloud platforms, DevOps tools, and enterprises.
Go developers are highly in demand with strong salaries.
- Backend systems
- Microservices
- DevOps tooling
- Cloud engineering
- High-performance systems
Go was created to fix limitations in older languages:
- Slow compilation (like C++)
- Overly complex codebases
- Weak concurrency models
Go solves these problems by offering:
- very fast compilation
- clean & readable syntax
- built-in concurrency (goroutines)
- single-binary deployment
- Simple syntax (only 25 keywords)
- C-level performance
- Memory efficient
- Built-in concurrency (goroutines)
- Easy deployment (single binary)
- Cross-platform builds
Some of the worldβs most powerful tools are written in Go:
- Docker
- Kubernetes
- Grafana
- Terraform
- Cloudflare
- Uberβs backend
Go is the top choice for:
- DevOps
- Cloud systems
- Distributed systems
- Scalable backends
This marks the official start of your Go learning journey.
Let's continue building β step by step.
