Update tech_docs/go_getting_started.md
This commit is contained in:
@@ -1,3 +1,789 @@
|
||||
### Stage 0: Core Concepts in Golang
|
||||
|
||||
---
|
||||
|
||||
#### Overview
|
||||
|
||||
This stage covers the fundamental data structures in Golang: slices, maps, arrays, and structs. It provides a detailed comparison to help you decide which data structure to use based on the nature of your data and the operations you need to perform.
|
||||
|
||||
---
|
||||
|
||||
### 1. Slices
|
||||
|
||||
#### Characteristics
|
||||
|
||||
- **Dynamic Size**: Slices are dynamically-sized, unlike arrays.
|
||||
- **Backed by Arrays**: Slices are backed by arrays and provide a view into them.
|
||||
- **Reslicing**: You can slice slices, creating new slices that share the same underlying array.
|
||||
|
||||
#### Use Cases
|
||||
|
||||
- **Dynamic Arrays**: When you need a dynamic array with convenient operations.
|
||||
- **Subsequences**: When you need to work with subsequences of an array.
|
||||
|
||||
#### Example: Storing a List of Names
|
||||
|
||||
```go
|
||||
names := []string{"Alice", "Bob", "Charlie"}
|
||||
|
||||
// Accessing elements
|
||||
secondName := names[1] // Bob
|
||||
|
||||
// Adding an element
|
||||
names = append(names, "David")
|
||||
|
||||
// Slicing
|
||||
subset := names[1:3] // {"Bob", "Charlie"}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 2. Maps
|
||||
|
||||
#### Characteristics
|
||||
|
||||
- **Key-Value Pairs**: Maps store data in key-value pairs.
|
||||
- **Unordered**: The order of map entries is not guaranteed.
|
||||
- **Dynamic Size**: Maps can grow and shrink as needed.
|
||||
|
||||
#### Use Cases
|
||||
|
||||
- **Associative Arrays**: When you need to associate keys with values.
|
||||
- **Fast Lookups**: When you need fast lookups by key.
|
||||
|
||||
#### Example: Storing Product Prices
|
||||
|
||||
```go
|
||||
prices := map[string]float64{
|
||||
"Apple": 1.99,
|
||||
"Banana": 0.49,
|
||||
"Cherry": 2.99,
|
||||
}
|
||||
|
||||
// Accessing elements
|
||||
applePrice := prices["Apple"]
|
||||
|
||||
// Adding an element
|
||||
prices["Date"] = 3.49
|
||||
|
||||
// Deleting an element
|
||||
delete(prices, "Banana")
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 3. Arrays
|
||||
|
||||
#### Characteristics
|
||||
|
||||
- **Fixed Size**: Arrays have a fixed size defined at compile time.
|
||||
- **Value Type**: Arrays are value types, meaning they are copied on assignment.
|
||||
- **Performance**: Useful for performance-critical code where size is known.
|
||||
|
||||
#### Use Cases
|
||||
|
||||
- **Fixed-Size Collections**: When you know the size of the collection in advance.
|
||||
- **Performance-Critical**: When performance is a concern and you need a fixed-size array.
|
||||
|
||||
#### Example: Storing Scores
|
||||
|
||||
```go
|
||||
var scores [5]int
|
||||
|
||||
// Assigning values
|
||||
scores[0] = 100
|
||||
scores[1] = 90
|
||||
|
||||
// Iterating over an array
|
||||
for i, score := range scores {
|
||||
fmt.Println(i, score)
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 4. Structs
|
||||
|
||||
#### Characteristics
|
||||
|
||||
- **Custom Data Types**: Structs allow you to create custom data types.
|
||||
- **Named Fields**: Fields are accessed by name.
|
||||
- **Composition**: Structs can be composed of other structs.
|
||||
|
||||
#### Use Cases
|
||||
|
||||
- **Complex Data Structures**: When you need to model complex data structures.
|
||||
- **Grouping Data**: When you need to group related data together.
|
||||
|
||||
#### Example: Defining a Person
|
||||
|
||||
```go
|
||||
type Person struct {
|
||||
Name string
|
||||
Age int
|
||||
}
|
||||
|
||||
person := Person{Name: "Alice", Age: 30}
|
||||
|
||||
// Accessing fields
|
||||
name := person.Name
|
||||
|
||||
// Modifying fields
|
||||
person.Age = 31
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Detailed Comparison
|
||||
|
||||
| Feature | Slice | Map | Array | Struct |
|
||||
|------------------|--------------------------------|--------------------------|--------------------------|---------------------------|
|
||||
| **Size** | Dynamic | Dynamic | Fixed | N/A |
|
||||
| **Indexing** | Integer | Key | Integer | Field |
|
||||
| **Mutability** | Mutable | Mutable | Mutable | Mutable |
|
||||
| **Uniqueness** | Allows duplicates | Unique keys | Allows duplicates | N/A |
|
||||
| **Use Case** | Dynamic arrays, subsequences | Associative arrays | Fixed-size collections | Complex data structures |
|
||||
|
||||
---
|
||||
|
||||
### Summary of Core Concepts
|
||||
|
||||
1. **Slices**: Use for dynamic arrays and subsequences.
|
||||
2. **Maps**: Use for associative arrays and fast lookups.
|
||||
3. **Arrays**: Use for fixed-size collections and performance-critical code.
|
||||
4. **Structs**: Use for complex data structures and grouping related data.
|
||||
|
||||
By mastering these core concepts, you'll be well-equipped to handle a wide range of programming challenges efficiently in Golang.
|
||||
|
||||
---
|
||||
|
||||
### Stage 1: Intermediate Concepts in Golang
|
||||
|
||||
Building on the core concepts from Stage 0, Stage 1 delves deeper into more advanced techniques, optimizations, and specialized data structures.
|
||||
|
||||
---
|
||||
|
||||
#### 1. **Advanced Slice Techniques**
|
||||
|
||||
- **Capacity Management**: Understanding and managing slice capacity.
|
||||
```go
|
||||
numbers := make([]int, 0, 10) // len(numbers) == 0, cap(numbers) == 10
|
||||
```
|
||||
|
||||
- **Copying Slices**: Efficiently copying slices.
|
||||
```go
|
||||
src := []int{1, 2, 3}
|
||||
dst := make([]int, len(src))
|
||||
copy(dst, src)
|
||||
```
|
||||
|
||||
- **Appending Slices**: Using `append()` function efficiently.
|
||||
```go
|
||||
s1 := []int{1, 2}
|
||||
s2 := []int{3, 4}
|
||||
s1 = append(s1, s2...) // {1, 2, 3, 4}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
#### 2. **Advanced Map Techniques**
|
||||
|
||||
- **Concurrent Maps**: Using `sync.Map` for concurrent access.
|
||||
```go
|
||||
var m sync.Map
|
||||
m.Store("key", "value")
|
||||
value, ok := m.Load("key")
|
||||
```
|
||||
|
||||
- **Zero Value Handling**: Checking if a map key exists.
|
||||
```go
|
||||
value, exists := prices["Apple"]
|
||||
```
|
||||
|
||||
- **Map of Maps**: Nested maps for complex data structures.
|
||||
```go
|
||||
nestedMap := map[string]map[string]int{
|
||||
"category1": {"item1": 1, "item2": 2},
|
||||
"category2": {"item3": 3},
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
#### 3. **Advanced Array Techniques**
|
||||
|
||||
- **Multidimensional Arrays**: Working with 2D and 3D arrays.
|
||||
```go
|
||||
var matrix [3][3]int
|
||||
matrix[0][0] = 1
|
||||
```
|
||||
|
||||
- **Array Slicing**: Creating slices from arrays.
|
||||
```go
|
||||
array := [5]int{1, 2, 3, 4, 5}
|
||||
slice := array[1:4] // {2, 3, 4}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
#### 4. **Advanced Struct Techniques**
|
||||
|
||||
- **Embedding Structs**: Composing structs using embedding.
|
||||
```go
|
||||
type Address struct {
|
||||
Street string
|
||||
City string
|
||||
}
|
||||
|
||||
type Person struct {
|
||||
Name string
|
||||
Age int
|
||||
Address
|
||||
}
|
||||
|
||||
person := Person{Name: "Alice", Age: 30, Address: Address{Street: "Main St", City: "Wonderland"}}
|
||||
```
|
||||
|
||||
- **Tags and Reflection**: Using struct tags and reflection.
|
||||
```go
|
||||
type User struct {
|
||||
Name string `json:"name"`
|
||||
Age int `json:"age"`
|
||||
}
|
||||
|
||||
u := User{Name: "Alice", Age: 30}
|
||||
jsonData, _ := json.Marshal(u)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Summary of Intermediate Concepts
|
||||
|
||||
1. **Slices**: Capacity management, copying, and appending.
|
||||
2. **Maps**: Concurrent access, zero value handling, and nested maps.
|
||||
3. **Arrays**: Multidimensional arrays and array slicing.
|
||||
4. **Structs**: Embedding, tags, and reflection.
|
||||
|
||||
By mastering these intermediate concepts, you'll be able to handle more complex data structures and write optimized, high-performance Golang code.
|
||||
|
||||
---
|
||||
|
||||
### Stage 2: Advanced Concepts in Golang
|
||||
|
||||
At this stage, you'll delve into more specialized data structures, optimization strategies, and concurrent programming techniques essential for handling complex problems efficiently.
|
||||
|
||||
---
|
||||
|
||||
#### 1. **Custom Data Structures**
|
||||
|
||||
- **Linked Lists**: Implementing and using linked lists.
|
||||
```go
|
||||
type Node struct {
|
||||
Value int
|
||||
Next *Node
|
||||
}
|
||||
|
||||
type LinkedList struct {
|
||||
Head *Node
|
||||
}
|
||||
|
||||
func (ll *LinkedList) Append(value int) {
|
||||
newNode := &Node{Value: value}
|
||||
if ll.Head == nil {
|
||||
ll.Head = newNode
|
||||
} else {
|
||||
current := ll.Head
|
||||
for current.Next != nil {
|
||||
current = current.Next
|
||||
}
|
||||
current.Next = newNode
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
- **Trees**: Implementing binary search trees and AVL trees.
|
||||
```go
|
||||
type TreeNode struct {
|
||||
Value int
|
||||
Left *TreeNode
|
||||
Right *TreeNode
|
||||
}
|
||||
|
||||
func insertNode(root *TreeNode, value int) *TreeNode {
|
||||
if root == nil {
|
||||
return &TreeNode{Value: value}
|
||||
}
|
||||
if value < root.Value {
|
||||
root.Left = insertNode(root.Left, value)
|
||||
} else {
|
||||
root.Right = insertNode(root.Right, value)
|
||||
}
|
||||
return root
|
||||
}
|
||||
```
|
||||
|
||||
- **Graphs**: Representing and manipulating graphs.
|
||||
```go
|
||||
type Graph struct {
|
||||
nodes map[int][]
|
||||
|
||||
int
|
||||
}
|
||||
|
||||
func (g *Graph) AddEdge(u, v int) {
|
||||
if g.nodes == nil {
|
||||
g.nodes = make(map[int][]int)
|
||||
}
|
||||
g.nodes[u] = append(g.nodes[u], v)
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
#### 2. **Concurrent Programming**
|
||||
|
||||
- **Goroutines and Channels**: Using goroutines and channels for concurrency.
|
||||
```go
|
||||
func worker(id int, jobs <-chan int, results chan<- int) {
|
||||
for j := range jobs {
|
||||
fmt.Println("worker", id, "started job", j)
|
||||
time.Sleep(time.Second)
|
||||
fmt.Println("worker", id, "finished job", j)
|
||||
results <- j * 2
|
||||
}
|
||||
}
|
||||
|
||||
func main() {
|
||||
jobs := make(chan int, 100)
|
||||
results := make(chan int, 100)
|
||||
|
||||
for w := 1; w <= 3; w++ {
|
||||
go worker(w, jobs, results)
|
||||
}
|
||||
|
||||
for j := 1; j <= 5; j++ {
|
||||
jobs <- j
|
||||
}
|
||||
close(jobs)
|
||||
|
||||
for a := 1; a <= 5; a++ {
|
||||
<-results
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
- **Sync Package**: Using `sync.Mutex`, `sync.WaitGroup`, and `sync.Once`.
|
||||
```go
|
||||
var mu sync.Mutex
|
||||
var count int
|
||||
|
||||
func increment() {
|
||||
mu.Lock()
|
||||
count++
|
||||
mu.Unlock()
|
||||
}
|
||||
|
||||
func main() {
|
||||
var wg sync.WaitGroup
|
||||
|
||||
for i := 0; i < 1000; i++ {
|
||||
wg.Add(1)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
increment()
|
||||
}()
|
||||
}
|
||||
|
||||
wg.Wait()
|
||||
fmt.Println("Final count:", count)
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
#### 3. **Performance Optimization**
|
||||
|
||||
- **Profiling and Benchmarking**: Using `pprof` and `testing` packages for profiling and benchmarking.
|
||||
```go
|
||||
import (
|
||||
"testing"
|
||||
)
|
||||
|
||||
func BenchmarkMyFunction(b *testing.B) {
|
||||
for i := 0; i < b.N; i++ {
|
||||
MyFunction()
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
- **Memory Management**: Understanding and optimizing memory usage.
|
||||
```go
|
||||
import (
|
||||
"runtime"
|
||||
)
|
||||
|
||||
func printMemUsage() {
|
||||
var m runtime.MemStats
|
||||
runtime.ReadMemStats(&m)
|
||||
fmt.Printf("Alloc = %v MiB", bToMb(m.Alloc))
|
||||
fmt.Printf("\tTotalAlloc = %v MiB", bToMb(m.TotalAlloc))
|
||||
fmt.Printf("\tSys = %v MiB", bToMb(m.Sys))
|
||||
fmt.Printf("\tNumGC = %v\n", m.NumGC)
|
||||
}
|
||||
|
||||
func bToMb(b uint64) uint64 {
|
||||
return b / 1024 / 1024
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Summary of Advanced Concepts
|
||||
|
||||
1. **Custom Data Structures**: Designing and implementing linked lists, trees, and graphs.
|
||||
2. **Concurrent Programming**: Using goroutines, channels, and the sync package for concurrency.
|
||||
3. **Performance Optimization**: Profiling, benchmarking, and memory management.
|
||||
|
||||
By mastering these advanced concepts, you'll be equipped to tackle complex programming challenges, design efficient solutions, and optimize performance at scale, solidifying your expertise as a Golang developer.
|
||||
|
||||
---
|
||||
|
||||
### Stage 2.5: Subject Matter Expert (SME) Level in Golang
|
||||
|
||||
At this level, focus on mastering complex data structures, optimization strategies, and integrating data structures with algorithms. This includes designing custom data structures and optimizing performance at scale.
|
||||
|
||||
---
|
||||
|
||||
#### 1. **Custom Data Structures**
|
||||
|
||||
- **Complex Data Structures**: Designing advanced data structures such as heaps, tries, and disjoint-set data structures.
|
||||
```go
|
||||
type MinHeap struct {
|
||||
array []int
|
||||
}
|
||||
|
||||
func (h *MinHeap) Insert(key int) {
|
||||
h.array = append(h.array, key)
|
||||
h.heapifyUp(len(h.array) - 1)
|
||||
}
|
||||
|
||||
func (h *MinHeap) heapifyUp(index int) {
|
||||
for h.array[parent(index)] > h.array[index] {
|
||||
h.swap(parent(index), index)
|
||||
index = parent(index)
|
||||
}
|
||||
}
|
||||
|
||||
func parent(i int) int {
|
||||
return (i - 1) / 2
|
||||
}
|
||||
|
||||
func (h *MinHeap) swap(i1, i2 int) {
|
||||
h.array[i1], h.array[i2] = h.array[i2], h.array[i1]
|
||||
}
|
||||
```
|
||||
|
||||
- **Balanced Trees**: Implementing AVL trees, Red-Black trees, and B-trees.
|
||||
```go
|
||||
type AVLNode struct {
|
||||
key int
|
||||
height int
|
||||
left *AVLNode
|
||||
right *AVLNode
|
||||
}
|
||||
|
||||
func (n *AVLNode) height() int {
|
||||
if n == nil {
|
||||
return 0
|
||||
}
|
||||
return n.height
|
||||
}
|
||||
|
||||
func max(a, b int) int {
|
||||
if a > b {
|
||||
return a
|
||||
}
|
||||
return b
|
||||
}
|
||||
|
||||
func rightRotate(y *AVLNode) *AVLNode {
|
||||
x := y.left
|
||||
T2 := x.right
|
||||
|
||||
x.right = y
|
||||
y.left = T2
|
||||
|
||||
y.height = max(y.left.height(), y.right.height()) + 1
|
||||
x.height = max(x.left.height(), x.right.height()) + 1
|
||||
|
||||
return x
|
||||
}
|
||||
|
||||
func leftRotate(x *AVLNode) *AVLNode {
|
||||
y := x.right
|
||||
T2 := y.left
|
||||
|
||||
y.left = x
|
||||
x.right = T2
|
||||
|
||||
x.height = max(x.left.height(), x.right.height()) + 1
|
||||
y.height = max(y.left.height(), y.right.height()) + 1
|
||||
|
||||
return y
|
||||
}
|
||||
|
||||
func insert(root *AVLNode, key int) *AVLNode {
|
||||
if root == nil {
|
||||
return &AVLNode{key: key, height: 1}
|
||||
}
|
||||
|
||||
if key < root.key {
|
||||
root.left = insert(root.left, key)
|
||||
} else if key > root.key {
|
||||
root.right = insert(root.right, key)
|
||||
} else {
|
||||
return root
|
||||
}
|
||||
|
||||
root.height = 1 + max(root.left.height(), root.right.height())
|
||||
|
||||
balance := root.left.height() - root.right.height()
|
||||
|
||||
if balance > 1 && key < root.left.key {
|
||||
return rightRotate(root)
|
||||
}
|
||||
if balance < -1 && key > root.right.key {
|
||||
return leftRotate(root)
|
||||
}
|
||||
if balance > 1 && key > root.left.key {
|
||||
root.left = leftRotate(root.left)
|
||||
return rightRotate(root)
|
||||
}
|
||||
if balance < -1 && key < root.right.key {
|
||||
root.right = rightRotate(root.right)
|
||||
return leftRotate(root)
|
||||
}
|
||||
|
||||
return root
|
||||
}
|
||||
```
|
||||
|
||||
- **Graphs**: Implementing advanced graph algorithms such as Dijkstra's and A*.
|
||||
```go
|
||||
type Edge struct {
|
||||
node int
|
||||
weight int
|
||||
}
|
||||
|
||||
type Graph struct {
|
||||
nodes map[int][]Edge
|
||||
}
|
||||
|
||||
func (g *Graph) AddEdge(u, v, weight int) {
|
||||
g.nodes[u] = append(g.nodes[u], Edge{node: v, weight: weight})
|
||||
}
|
||||
|
||||
func (g *Graph) Dijkstra(start int) map[int]int {
|
||||
dist := make(map[int]int)
|
||||
for node := range g.nodes {
|
||||
dist[node] = int(^uint(0) >> 1) // Initialize with infinity
|
||||
}
|
||||
dist[start] = 0
|
||||
|
||||
pq := &MinHeap{}
|
||||
pq.Insert(start)
|
||||
|
||||
for len(pq.array) > 0 {
|
||||
current := pq.ExtractMin()
|
||||
|
||||
for _, edge := range g.nodes[current] {
|
||||
alt := dist[current] + edge.weight
|
||||
if alt < dist[edge.node] {
|
||||
dist[edge.node] = alt
|
||||
pq.Insert(edge.node)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return dist
|
||||
}
|
||||
|
||||
func (h *MinHeap) ExtractMin() int {
|
||||
if len(h.array) == 0 {
|
||||
return -1
|
||||
}
|
||||
|
||||
root := h.array[0]
|
||||
h.array[0] = h.array[len(h.array)-1]
|
||||
h.array = h.array[:len(h.array)-1]
|
||||
|
||||
h.heapifyDown(0)
|
||||
|
||||
return root
|
||||
}
|
||||
|
||||
func (h *MinHeap) heapifyDown(index int) {
|
||||
lastIndex := len(h.array) - 1
|
||||
l, r := left(index), right(index)
|
||||
childToCompare := 0
|
||||
|
||||
for l <= lastIndex {
|
||||
if l == lastIndex || h.array[l] < h.array[r] {
|
||||
childToCompare = l
|
||||
} else {
|
||||
childToCompare = r
|
||||
}
|
||||
|
||||
if h.array[index] > h.array[childToCompare] {
|
||||
h.swap(index, childToCompare)
|
||||
index = childToCompare
|
||||
l, r = left(index), right(index)
|
||||
} else {
|
||||
return
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func left(i int) int {
|
||||
return 2*i + 1
|
||||
}
|
||||
|
||||
func right(i int) int {
|
||||
return 2*i + 2
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
#### 2. **Advanced Algorithms**
|
||||
|
||||
- **Algorithm Integration**: Combining data structures with algorithms for problem-solving.
|
||||
```go
|
||||
func quicksort(arr []int) []int {
|
||||
if len(arr) < 2 {
|
||||
return arr
|
||||
}
|
||||
|
||||
left, right := 0, len(arr)-1
|
||||
|
||||
pivot :=
|
||||
|
||||
rand.Int() % len(arr)
|
||||
|
||||
arr[pivot], arr[right] = arr[right], arr[pivot]
|
||||
|
||||
for i := range arr {
|
||||
if arr[i] < arr[right] {
|
||||
arr[i], arr[left] = arr[left], arr[i]
|
||||
left++
|
||||
}
|
||||
}
|
||||
|
||||
arr[left], arr[right] = arr[right], arr[left]
|
||||
|
||||
quicksort(arr[:left])
|
||||
quicksort(arr[left+1:])
|
||||
|
||||
return arr
|
||||
}
|
||||
```
|
||||
|
||||
- **Dynamic Programming**: Using slices and maps for memoization and tabulation.
|
||||
```go
|
||||
func fibonacci(n int, memo map[int]int) int {
|
||||
if n <= 1 {
|
||||
return n
|
||||
}
|
||||
if _, ok := memo[n]; !ok {
|
||||
memo[n] = fibonacci(n-1, memo) + fibonacci(n-2, memo)
|
||||
}
|
||||
return memo[n]
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
#### 3. **Performance Engineering**
|
||||
|
||||
- **Profiling and Optimization**: Using `pprof` and `testing` packages for profiling and benchmarking.
|
||||
```go
|
||||
import (
|
||||
"testing"
|
||||
)
|
||||
|
||||
func BenchmarkMyFunction(b *testing.B) {
|
||||
for i := 0; i < b.N; i++ {
|
||||
MyFunction()
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
- **Concurrency and Parallelism**: Leveraging `sync`, `atomic`, and `context` packages for concurrency.
|
||||
```go
|
||||
import (
|
||||
"sync"
|
||||
"sync/atomic"
|
||||
)
|
||||
|
||||
var count int64
|
||||
|
||||
func increment() {
|
||||
atomic.AddInt64(&count, 1)
|
||||
}
|
||||
|
||||
func main() {
|
||||
var wg sync.WaitGroup
|
||||
|
||||
for i := 0; i < 1000; i++ {
|
||||
wg.Add(1)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
increment()
|
||||
}()
|
||||
}
|
||||
|
||||
wg.Wait()
|
||||
fmt.Println("Final count:", count)
|
||||
}
|
||||
```
|
||||
|
||||
- **Big Data and Scalability**: Techniques for handling and processing large datasets efficiently.
|
||||
```go
|
||||
import (
|
||||
"bufio"
|
||||
"os"
|
||||
)
|
||||
|
||||
func processLargeFile(filePath string) {
|
||||
file, err := os.Open(filePath)
|
||||
if err != nil {
|
||||
log.Fatal(err)
|
||||
}
|
||||
defer file.Close()
|
||||
|
||||
scanner := bufio.NewScanner(file)
|
||||
for scanner.Scan() {
|
||||
// Process each line
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
log.Fatal(err)
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Summary of SME Level Concepts
|
||||
|
||||
1. **Custom Data Structures**: Designing and implementing complex data structures like heaps, tries, and balanced trees.
|
||||
2. **Advanced Algorithms**: Integrating data structures with advanced algorithms and dynamic programming techniques.
|
||||
3. **Performance Engineering**: Profiling, concurrency, parallelism, and scalability techniques.
|
||||
|
||||
By mastering these SME level concepts, you'll be equipped to tackle the most complex programming challenges, design efficient solutions, and optimize performance at scale, solidifying your expertise as a Golang developer.
|
||||
|
||||
---
|
||||
|
||||
Certainly! Here's a comprehensive overview of the `select` statement in Go:
|
||||
|
||||
1. Introduction:
|
||||
|
||||
Reference in New Issue
Block a user