Interactive Python, TypeScript, Rust, and C++ Code Snippets

Learn how to add runnable Python, TypeScript, Rust, and C++ code snippets to your blog posts

This post explains how to use the python, typescript, rust, and cpp shortcodes to create interactive, runnable code snippets in your blog posts.

Introduction

Interactive code snippets allow readers to run and experiment with code directly in their browsers without setting up a development environment. Our website now supports this feature for Python (using Pyodide, a port of CPython to WebAssembly), TypeScript (using the TypeScript compiler in the browser), Rust (using compilation services), and C++ (using WebAssembly).

Python Shortcode

Basic Usage

To add a runnable Python code snippet to your post, use the python shortcode like this:

{{< python >}}
# Your Python code here
print("Hello, world!")
{{< /python >}}

This will create a code block with a “Run” button. When clicked, the code will execute and the output will be displayed below the code.

Here’s a live example:

Python Code

# A simple Python example
$$print("Hello, world!")
for i in range(5):
    print(f"The square of {i} is {i*i}")

apple = 50 # Apple variable is shared across multiple code editors.

Loading Pyodide...

Output:

Using Python Libraries

Pyodide includes many standard library modules and popular packages like NumPy, Pandas, Matplotlib, and more. When you import these libraries in your code, Pyodide will automatically load them.

Here’s an example using NumPy:

Python Code

%% numpy
import numpy as np
from functools import wraps

# Create a random array
data = np.random.rand(5, 5)
print("Random 5x5 matrix:")
print(data)

# Calculate statistics
print(f"Mean: {np.mean(data):.4f}")
print(f"Max: {np.max(data):.4f}")
print(f"Min: {np.min(data):.4f}")

print("apple: ", apple) # Apple variable is shared across multiple code editors.

Loading Pyodide...

Output:

Creating Visualizations

You can even create visualizations using Matplotlib:

Python Code

%% numpy, matplotlib

import numpy as np
import matplotlib.pyplot as plt
from io import BytesIO
import base64

# Create data
x = np.linspace(0, 2*np.pi, 100)
y1 = np.sin(x)
y2 = np.cos(x)

# Create plot
plt.figure(figsize=(8, 4))
plt.plot(x, y1, label='sin(x)')
plt.plot(x, y2, label='cos(x)')
plt.title('Sine and Cosine Waves')
plt.xlabel('x')
plt.ylabel('y')
plt.legend()
plt.grid(True)

# Convert plot to image and display
buf = BytesIO()
plt.savefig(buf, format='png')
buf.seek(0)
img_str = base64.b64encode(buf.read()).decode('utf-8')
print(f'<img src="data:image/png;base64,{img_str}" />')

Loading Pyodide...

Output:

Interactive Examples

You can create more complex examples that demonstrate algorithms or concepts:

Python Code

$$def fibonacci(n):
$$    """Return the nth Fibonacci number."""
$$    if n <= 0:
$$        return 0
$$    elif n == 1:
$$        return 1
$$    else:
$$        return fibonacci(n-1) + fibonacci(n-2)
$$
$$# Calculate and print the first 10 Fibonacci numbers
$$print("First 10 Fibonacci numbers:")
$$for i in range(10):
$$    print(f"fibonacci({i}) = {fibonacci(i)}")

Loading Pyodide...

Output:

TypeScript Shortcode

Basic Usage

To add a runnable TypeScript code snippet to your post, use the typescript shortcode like this:

{{< typescript >}}
// Your TypeScript code here
console.log("Hello from TypeScript!");
{{< /typescript >}}

This creates an interactive code block with syntax highlighting and a “Run” button. When clicked, the TypeScript code is compiled to JavaScript and executed, with the output displayed below.

Here’s a live example:

TS Code

// A simple TypeScript example
$$ console.log("Hello from TypeScript!");

// Type annotations
const message: string = "TypeScript is awesome";
const year: number = 2023;
const isEnabled: boolean = true;

console.log(`${message} in ${year}!`);
console.log(`Feature enabled: ${isEnabled}`);

Compiling TypeScript...

Compilation successful

Output:

Using TypeScript Features

There is type-checking too (Work-in-process)!

TS Code

const message: number = "TypeScript is awesome";
const year: number = 2023;
console.log(`${message} in ${year}!`);

Compiling TypeScript...

Compilation successful

Output:

The above should not compile (The above example is still compiling - need to incorporate type checking into the shortcodes, still a work in progress).

The TypeScript shortcode supports all standard TypeScript features, including interfaces, types, classes, and more:

TS Code

// Define an interface
interface Person {
  name: string;
  age: number;
  greet(): void;
}

// Implement the interface
class Employee implements Person {
  constructor(public name: string, public age: number, private role: string) {}
  
  $$ greet(): void {
  $$   console.log(`Hello, my name is ${this.name} and I'm ${this.age} years old.`);
  $$ }
  $$ 
  $$ introduce(): void {
  $$   console.log(`I work as a ${this.role}.`);
  $$ }
}

// Create an instance
const employee = new Employee("Alice", 30, "Developer");
employee.greet();
employee.introduce();

Compiling TypeScript...

Compilation successful

Output:

Working with Arrays and Objects

TypeScript provides excellent type safety for working with collections:

TS Code

// Type-safe arrays and objects
const numbers: number[] = [1, 2, 3, 4, 5];
const fruits: Array<string> = ["apple", "banana", "orange"];

// Array operations with TypeScript
const doubled = numbers.map((n: number): number => n * 2);
console.log("Doubled numbers:", doubled);

const filteredFruits = fruits.filter((fruit: string): boolean => fruit.length > 5);
console.log("Fruits with more than 5 characters:", filteredFruits);

// Type-safe object
$$ interface Product {
$$   id: number;
$$   name: string;
$$   price: number;
$$ }

const products: Product[] = [
  { id: 1, name: "Laptop", price: 1200 },
  { id: 2, name: "Phone", price: 800 },
  { id: 3, name: "Tablet", price: 400 }
];

// Calculate total price
const totalPrice = products.reduce((sum, product) => sum + product.price, 0);
console.log(`Total price: $${totalPrice}`);

Compiling TypeScript...

Compilation successful

Output:

Async Operations

TypeScript handles async operations elegantly with type safety:

TS Code

// Async function example
async function fetchData<T>(delay: number, data: T): Promise<T> {
  return new Promise((resolve) => {
    setTimeout(() => {
      console.log("Data fetched!");
      resolve(data);
    }, delay);
  });
}

// Using async/await
async function processData() {
  console.log("Fetching data...");
  
  try {
    const result = await fetchData(1000, { id: 123, name: "Sample Data" });
    console.log("Result:", result);
    
    const numbers = await fetchData(500, [1, 2, 3, 4, 5]);
    const sum = numbers.reduce((a, b) => a + b, 0);
    console.log("Sum:", sum);
  } catch (error) {
    console.error("Error:", error);
  }
}

// Run the async function
processData();

Compiling TypeScript...

Compilation successful

Output:

Rust Shortcode

Basic Usage

To add a runnable Rust code snippet to your post, use the rust shortcode like this:

{{< rust >}}
// Your Rust code here
fn main() {
    println!("Hello from Rust!");
}
{{< /rust >}}

This creates an interactive code block with syntax highlighting and a “Run” button. When clicked, the Rust code is compiled and executed remotely, with the output displayed below.

Here’s a live example:

Rust Code

fn main() {
    // A simple Rust example
    $$ println!("Hello from Rust!");
    
    // Display some numbers
    for i in 0..5 {
        println!("The square of {} is {}", i, i * i);
    }
}

Compiling Rust...

Compilation successful

Output:

Using Rust Features

The Rust shortcode supports many standard Rust features, including structs, enums, traits, and more:

Rust Code

// Define a struct
$$ struct Person {
$$     name: String,
$$     age: u32,
$$ }

// Implement methods for the struct
impl Person {
    fn new(name: &str, age: u32) -> Self {
        Person {
            name: String::from(name),
            age,
        }
    }
    
    fn greet(&self) {
        println!("Hello, my name is {} and I'm {} years old.", self.name, self.age);
    }
}

fn main() {
    // Create an instance of Person
    let person = Person::new("Alice", 30);
    person.greet();
}

Compiling Rust...

Compilation successful

Output:

Working with Collections

Rust provides powerful, safe ways to work with collections:

Rust Code

fn main() {
    // Working with vectors
    let mut numbers = vec![1, 2, 3, 4, 5];
    
    // Map operation (similar to other languages)
    let doubled: Vec<i32> = numbers.iter().map(|&n| n * 2).collect();
    println!("Doubled numbers: {:?}", doubled);
    
    // Filter operation
    let even_numbers: Vec<i32> = numbers.iter().filter(|&&n| n % 2 == 0).cloned().collect();
    println!("Even numbers: {:?}", even_numbers);
    
    // Push and modify
    numbers.push(6);
    numbers.push(7);
    println!("Updated vector: {:?}", numbers);
    
    // Using a HashMap
    use std::collections::HashMap;
    
    $$ let mut scores = HashMap::new();
    $$ scores.insert(String::from("Blue"), 10);
    $$ scores.insert(String::from("Red"), 25);
    $$ scores.insert(String::from("Green"), 15);
    
    println!("Scores: {:?}", scores);
    
    // Access and update
    if let Some(score) = scores.get_mut("Blue") {
        *score += 5;
    }
    
    println!("Updated Blue score: {:?}", scores.get("Blue"));
}

Compiling Rust...

Compilation successful

Output:

Error Handling and Result Type

Rust’s approach to error handling is both powerful and expressive:

Rust Code

fn divide(a: i32, b: i32) -> Result<i32, String> {
    if b == 0 {
        return Err(String::from("Cannot divide by zero"));
    }
    Ok(a / b)
}

fn main() {
    // Using the Result type for error handling
    let results = vec![
        divide(10, 2),
        divide(5, 0),
        divide(8, 4)
    ];
    
    for (i, result) in results.iter().enumerate() {
        match result {
            Ok(value) => println!("Result {}: {}", i, value),
            Err(error) => println!("Error in result {}: {}", i, error)
        }
    }
    
    // Using the ? operator for error propagation
    fn process_division() -> Result<(), String> {
        let result1 = divide(10, 2)?;
        println!("First division result: {}", result1);
        
        let result2 = divide(result1, 0)?; // This will return early with an Err
        println!("This line won't be reached!");
        
        Ok(())
    }
    
    println!("\nAttempting process_division:");
    match process_division() {
        Ok(_) => println!("All operations succeeded"),
        Err(e) => println!("An error occurred: {}", e)
    }
}

Compiling Rust...

Compilation successful

Output:

Ownership and Borrowing

Demonstrate Rust’s unique ownership system with this example:

Rust Code

fn main() {
    // Ownership example
    let s1 = String::from("hello");
    
    // s1 is moved into the function
    let (s2, len) = calculate_length_with_ownership(s1);
    
    // s1 is no longer valid here!
    // println!("s1: {}", s1); // This would cause a compilation error
    
    println!("s2: {}, length: {}", s2, len);
    
    // Borrowing example
    let s3 = String::from("world");
    
    // s3 is borrowed by the function
    let len = calculate_length_with_borrowing(&s3);
    
    // s3 is still valid here
    println!("s3: {}, length: {}", s3, len);
    
    // Mutable borrowing
    let mut s4 = String::from("hello");
    println!("Before: {}", s4);
    
    append_world(&mut s4);
    println!("After: {}", s4);
}

// Function that takes ownership
fn calculate_length_with_ownership(s: String) -> (String, usize) {
    let length = s.len();
    (s, length) // Return the string and its length
}

// Function that borrows its parameter
fn calculate_length_with_borrowing(s: &String) -> usize {
    s.len() // Return the length of the borrowed string
}

// Function that mutably borrows its parameter
fn append_world(s: &mut String) {
    s.push_str(" world");
}

Compiling Rust...

Compilation successful

Output:

C++ Shortcode

Basic Usage

To add a runnable C++ code snippet to your post, use the cpp shortcode like this:

{{< cpp >}}
// Your C++ code here
#include <iostream>

int main() {
    std::cout << "Hello from C++!" << std::endl;
    return 0;
}
{{< /cpp >}}

This creates an interactive code block with syntax highlighting and a “Run” button. When clicked, the C++ code is compiled and executed using WebAssembly, with the output displayed below.

Here’s a live example:

C++ Code

Compiler: Standard:

#include <iostream>

int main() {
$$    // A simple C++ example
$$    std::cout << "Hello from C++!" << std::endl;
$$    
$$    // Display some numbers
$$    for (int i = 0; i < 5; i++) {
$$        std::cout << "The square of " << i << " is " << i * i << std::endl;
$$    }
$$    
$$    return 0;
}

Compiling C++...

Compilation successful

Output:

Using C++ Features

The C++ shortcode supports many standard C++ features, including classes, templates, and more:

C++ Code

Compiler: Standard:

#include <iostream>
#include <string>

// Define a class
class Person {
private:
    std::string name;
    int age;
    
public:
    $$ Person(const std::string& name, int age) : name(name), age(age) {}
    $$ 
    $$ void greet() const {
    $$     std::cout << "Hello, my name is " << name << " and I'm " << age << " years old." << std::endl;
    $$ }
};

int main() {
    // Create an instance of Person
    Person person("Alice", 30);
    person.greet();
    
    return 0;
}

Compiling C++...

Compilation successful

Output:

Working with STL Containers

C++ provides powerful containers and algorithms through the Standard Template Library (STL):

C++ Code

Compiler: Standard:

#include <iostream>
#include <vector>
#include <algorithm>
#include <numeric>
#include <map>

int main() {
    // Working with vectors
    std::vector<int> numbers = {1, 2, 3, 4, 5};
    
    // Map operation (similar to other languages)
    std::vector<int> doubled;
    std::transform(numbers.begin(), numbers.end(), std::back_inserter(doubled),
                  [](int n) { return n * 2; });
    
    std::cout << "Doubled numbers: ";
    for (int n : doubled) {
        std::cout << n << " ";
    }
    std::cout << std::endl;
    
    // Filter operation
    std::vector<int> even_numbers;
    std::copy_if(numbers.begin(), numbers.end(), std::back_inserter(even_numbers),
                [](int n) { return n % 2 == 0; });
    
    std::cout << "Even numbers: ";
    for (int n : even_numbers) {
        std::cout << n << " ";
    }
    std::cout << std::endl;
    
    // Push and modify
    numbers.push_back(6);
    numbers.push_back(7);
    
    std::cout << "Updated vector: ";
    for (int n : numbers) {
        std::cout << n << " ";
    }
    std::cout << std::endl;
    
    // Using a map (similar to HashMap in other languages)
    std::map<std::string, int> scores;
    scores["Blue"] = 10;
    scores["Red"] = 25;
    scores["Green"] = 15;
    
    std::cout << "Scores: ";
    for (const auto& pair : scores) {
        std::cout << pair.first << "=" << pair.second << " ";
    }
    std::cout << std::endl;
    
    // Access and update
    scores["Blue"] += 5;
    
    std::cout << "Updated Blue score: " << scores["Blue"] << std::endl;
    
    return 0;
}

Compiling C++...

Compilation successful

Output:

Templates and Generic Programming

C++ templates enable powerful generic programming:

C++ Code

Compiler: Standard:

#include <iostream>
#include <string>
#include <vector>

// Generic function template
$$ template<typename T>
$$ T add(T a, T b) {
$$     return a + b;
$$ }

// Generic class template
template<typename T>
class Stack {
private:
    std::vector<T> elements;
    
public:
    void push(const T& element) {
        elements.push_back(element);
    }
    
    T pop() {
        if (elements.empty()) {
            throw std::out_of_range("Stack is empty");
        }
        
        T top = elements.back();
        elements.pop_back();
        return top;
    }
    
    bool isEmpty() const {
        return elements.empty();
    }
    
    size_t size() const {
        return elements.size();
    }
};

int main() {
    // Using the function template
    std::cout << "Adding integers: " << add(5, 3) << std::endl;
    std::cout << "Adding doubles: " << add(3.14, 2.71) << std::endl;
    std::cout << "Concatenating strings: " << add(std::string("Hello, "), std::string("C++!")) << std::endl;
    
    // Using the class template
    Stack<int> intStack;
    intStack.push(1);
    intStack.push(2);
    intStack.push(3);
    
    std::cout << "Integer stack size: " << intStack.size() << std::endl;
    std::cout << "Popping from integer stack: " << intStack.pop() << std::endl;
    std::cout << "New stack size: " << intStack.size() << std::endl;
    
    Stack<std::string> stringStack;
    stringStack.push("Hello");
    stringStack.push("World");
    
    std::cout << "String stack size: " << stringStack.size() << std::endl;
    std::cout << "Popping from string stack: " << stringStack.pop() << std::endl;
    
    return 0;
}

Compiling C++...

Compilation successful

Output:

Memory Management and Smart Pointers

Demonstrate C++’s modern memory management with smart pointers:

C++ Code

Compiler: Standard:

#include <iostream>
#include <memory>
#include <vector>
#include <string>

$$ class Resource {
$$ private:
$$     std::string name;
    
public:
    Resource(const std::string& n) : name(n) {
        std::cout << "Resource '" << name << "' created." << std::endl;
    }
    
    ~Resource() {
        std::cout << "Resource '" << name << "' destroyed." << std::endl;
    }
    
    void use() const {
        std::cout << "Using resource '" << name << "'." << std::endl;
    }
};

int main() {
    // Scope-based resource management
    {
        std::cout << "=== Entering inner scope ===" << std::endl;
        
        // Unique pointer - exclusive ownership
        std::unique_ptr<Resource> uniqueRes = std::make_unique<Resource>("Unique");
        uniqueRes->use();
        
        // Shared pointer - shared ownership
        std::shared_ptr<Resource> sharedRes1 = std::make_shared<Resource>("Shared");
        {
            std::cout << "Reference count: " << sharedRes1.use_count() << std::endl;
            auto sharedRes2 = sharedRes1; // Create another reference
            std::cout << "Reference count after sharing: " << sharedRes1.use_count() << std::endl;
            sharedRes2->use();
        } // sharedRes2 goes out of scope here
        
        std::cout << "Reference count after inner scope: " << sharedRes1.use_count() << std::endl;
        sharedRes1->use();
        
        // Weak pointer - non-owning reference
        std::shared_ptr<Resource> sharedRes3 = std::make_shared<Resource>("Weak Reference Target");
        std::weak_ptr<Resource> weakRes = sharedRes3;
        
        std::cout << "Weak pointer expired? " << weakRes.expired() << std::endl;
        
        if (auto res = weakRes.lock()) {
            res->use();
        } else {
            std::cout << "Failed to lock weak pointer." << std::endl;
        }
        
        // Reset the shared pointer, releasing the resource
        sharedRes3.reset();
        std::cout << "After resetting shared pointer, weak pointer expired? " << weakRes.expired() << std::endl;
        
        std::cout << "=== Exiting inner scope ===" << std::endl;
    } // All resources are automatically cleaned up here
    
    std::cout << "Back in main scope." << std::endl;
    return 0;
}

Compiling C++...

Compilation successful

Output:

C++ Examples

Let’s explore some C++ code examples that you can run directly in the browser.

Simple Calculator in C++

C++ Code

Compiler: Standard:

#include <iostream>

int main() {
    double num1, num2;
    char operation;
    
    std::cout << "Simple Calculator\n";
    std::cout << "Enter first number: 5\n";
    std::cout << "Enter operation (+, -, *, /): +\n";
    std::cout << "Enter second number: 3\n";
    
    num1 = 5;
    operation = '+';
    num2 = 3;
    
    double result;
    switch(operation) {
        case '+':
            result = num1 + num2;
            break;
        case '-':
            result = num1 - num2;
            break;
        case '*':
            result = num1 * num2;
            break;
        case '/':
            if(num2 != 0)
                result = num1 / num2;
            else {
                std::cout << "Error: Division by zero" << std::endl;
                return 1;
            }
            break;
        default:
            std::cout << "Error: Invalid operation" << std::endl;
            return 1;
    }
    
    std::cout << "Result: " << num1 << " " << operation << " " << num2 << " = " << result << std::endl;
    return 0;
}

Compiling C++...

Compilation successful

Output:

Fibonacci Sequence in C++

C++ Code

Compiler: Standard:

#include <iostream>
#include <vector>

// Function to generate Fibonacci sequence up to n terms
std::vector<int> generateFibonacci(int n) {
    std::vector<int> fib;
    if (n <= 0) return fib;
    
    fib.push_back(0);
    if (n == 1) return fib;
    
    fib.push_back(1);
    $$ for (int i = 2; i < n; ++i) {
        $$ fib.push_back(fib[i-1] + fib[i-2]);
    }
    
    return fib;
}

int main() {
    int n = 10;
    std::cout << "Generating first " << n << " Fibonacci numbers:" << std::endl;
    
    std::vector<int> fibSequence = generateFibonacci(n);
    
    for (int i = 0; i < fibSequence.size(); ++i) {
        std::cout << fibSequence[i];
        $$ if (i < fibSequence.size() - 1) {
            $$ std::cout << ", ";
        $$ }
    }
    std::cout << std::endl;
    
    return 0;
}

Compiling C++...

Compilation successful

Output:

Object-Oriented Programming in C++

C++ Code

Compiler: Standard:

#include <iostream>
#include <string>
#include <vector>

class Shape {
protected:
    std::string name;
public:
    Shape(const std::string& n) : name(n) {}
    virtual double area() const = 0;
    virtual void display() const {
        std::cout << "Shape: " << name << std::endl;
    }
    virtual ~Shape() {}
};

class Circle : public Shape {
private:
    double radius;
public:
    Circle(double r) : Shape("Circle"), radius(r) {}
    
    double area() const override {
        return 3.14159 * radius * radius;
    }
    
    void display() const override {
        Shape::display();
        std::cout << "Radius: " << radius << std::endl;
        std::cout << "Area: " << area() << std::endl;
    }
};

class Rectangle : public Shape {
private:
    double width;
    double height;
public:
    Rectangle(double w, double h) : Shape("Rectangle"), width(w), height(h) {}
    
    double area() const override {
        return width * height;
    }
    
    void display() const override {
        Shape::display();
        std::cout << "Width: " << width << std::endl;
        std::cout << "Height: " << height << std::endl;
        std::cout << "Area: " << area() << std::endl;
    }
};

int main() {
    std::vector<Shape*> shapes;
    
    shapes.push_back(new Circle(5.0));
    shapes.push_back(new Rectangle(4.0, 6.0));
    
    std::cout << "Displaying shape information:" << std::endl;
    for (const auto& shape : shapes) {
        shape->display();
        std::cout << "-------------------" << std::endl;
    }
    
    // Clean up
    for (auto& shape : shapes) {
        delete shape;
    }
    
    return 0;
}

Compiling C++...

Compilation successful

Output:

Important Considerations

When using these interactive code shortcodes, keep these things in mind:

For Python:

Loading Time: Pyodide may take a moment to load on the first execution, especially on slower connections.
Package Availability: While many packages are available, not all Python packages can be used with Pyodide.
Performance: Complex computations may run slower in the browser than they would in a native Python environment.
Memory Limitations: Browser environments have memory limitations, so very large datasets may cause problems.

For TypeScript:

Browser API Limitations: The TypeScript code runs in a sandboxed environment, so some browser APIs may not be available.
No External Imports: You cannot import external modules or packages in the TypeScript snippets.
Compilation Errors: TypeScript errors are displayed in the output area, making it easy to debug code.
No Persistent State: Each execution starts with a fresh environment; state is not maintained between runs.

For Rust:

Remote Execution: Rust code is compiled and executed on remote servers, which may have usage limitations or occasional downtime.
Compilation Time: Rust compilation may take a few seconds, especially for larger code examples.
Standard Library: Most standard library features are available, but some platform-specific functionality may be restricted.
Memory and Time Limits: There are memory and execution time limits for the compiled code.

For C++:

WebAssembly Limitations: The C++ code is compiled to WebAssembly, which has some limitations compared to native C++.
Standard Library Support: Most of the C++ standard library is available, but some features may be restricted.
Compilation Time: Complex C++ code may take longer to compile in the browser environment.
Memory Management: While the examples demonstrate memory management, the actual behavior in the WebAssembly environment might differ slightly from native C++.

General Considerations:

Security: Code runs either in the user’s browser or on remote servers, so avoid including sensitive information or operations.
Mobile Compatibility: The interactive code blocks work on mobile devices but may have limited screen space.

Conclusion

The python, typescript, rust, and cpp shortcodes make your blog posts more interactive and engaging by allowing readers to experiment with code directly. This is particularly useful for tutorials, educational content, or demonstrating programming concepts.

Experiment with Python, TypeScript, Rust, and C++ in your posts and let us know how they work for you!

Interactive Python, TypeScript, Rust, and C++ Code Snippets

Contents

Introduction

Python Shortcode

Basic Usage

Using Python Libraries

Creating Visualizations

Interactive Examples

TypeScript Shortcode

Basic Usage

Using TypeScript Features

Working with Arrays and Objects

Async Operations

Rust Shortcode

Basic Usage

Using Rust Features

Working with Collections

Error Handling and Result Type

Ownership and Borrowing

C++ Shortcode

Basic Usage

Using C++ Features

Working with STL Containers

Templates and Generic Programming

Memory Management and Smart Pointers

C++ Examples

Simple Calculator in C++

Fibonacci Sequence in C++

Object-Oriented Programming in C++

Important Considerations

For Python:

For TypeScript:

For Rust:

For C++:

General Considerations:

Conclusion

Comments

Interactive Python, TypeScript, Rust, and C++ Code Snippets

Contents

Introduction

Python Shortcode

Basic Usage

Using Python Libraries

Creating Visualizations

Interactive Examples

TypeScript Shortcode

Basic Usage

Using TypeScript Features

Working with Arrays and Objects

Async Operations

Rust Shortcode

Basic Usage

Using Rust Features

Working with Collections

Error Handling and Result Type

Ownership and Borrowing

C++ Shortcode

Basic Usage

Using C++ Features

Working with STL Containers

Templates and Generic Programming

Memory Management and Smart Pointers

C++ Examples

Simple Calculator in C++

Fibonacci Sequence in C++

Object-Oriented Programming in C++

Important Considerations

For Python:

For TypeScript:

For Rust:

For C++:

General Considerations:

Conclusion

Related Posts

Comments