React Redux as an alternative to useContext

An alternative to useContext for managing global state and passing down data to components without relying on prop drilling is to use a state management library like Redux. Redux provides a centralized store for your application’s state and allows you to access and update that state from any component without needing to pass props.

Redux works well for complex UIs where multiple components need access to shared data and where the state management requirements go beyond what useState and useContext can provide. It also offers features like time-travel debugging and middleware, making it particularly suitable for larger applications.

Here is a breakdown of how Redux works:

  1. Store: Redux has a single store that holds the entire state of your application. This state is represented as a JavaScript object.

  2. Actions: Actions are plain JavaScript objects that describe what happened. They are used to trigger state changes in the store. An action typically has a type and payload.

  3. Reducers: Reducers are functions that specify how the application’s state changes in response to an action. They take the current state and an action as parameters and return a new state.

  4. Dispatch: Components can dispatch actions to trigger state changes. Dispatching an action notifies Redux that something has happened in the application.

  5. Connect: The connect function (or React hooks like useSelector and useDispatch when using the Redux Toolkit) is used to connect components to the Redux store. It provides a way to access the state and dispatch actions.

Using Redux in your application involves setting up actions, reducers, and a store. While it introduces additional concepts and code compared to useContext, it provides a well-structured solution for managing complex state in a scalable manner. Keep in mind that Redux might be more suitable for larger projects with extensive state management needs, as it could be overkill for smaller applications with simpler UIs.

Here is a simplified example of how to use Redux in a React application. This example uses the “redux” and “react-redux” libraries, which are the standard packages for integrating Redux with React.

1. Install Dependencies

npm install redux react-redux

2. Define action types and action creators that will be used to update the state in the Redux store. For this example, let’s create a simple counter application.

// actions.js
export const INCREMENT = 'INCREMENT';
export const DECREMENT = 'DECREMENT';

export const increment = () => ({ type: INCREMENT });
export const decrement = () => ({ type: DECREMENT });

3. Create reducers that define how the application’s state changes in response to actions.

// reducers.js
import { INCREMENT, DECREMENT } from './actions';

const initialState = {
 count: 0,
 };

const counterReducer = (state = initialState, action) => {
 switch (action.type) {
   case INCREMENT:
     return { …state, count: state.count + 1 };
   case DECREMENT:
     return { …state, count: state.count - 1 };
   default:
     return state;
   }
};

export default counterReducer;

4. Create the Redux store by combining reducers.

// store.js
import { createStore } from 'redux';
import counterReducer from './reducers';

const store = createStore(counterReducer);
export default store;

5. Use the connect function (or hooks like useSelector and useDispatch when using Redux Toolkit) to connect your React components to the Redux store.

// Counter.js
import React from 'react';
import { connect } from 'react-redux';
import { increment, decrement } from './actions';

const Counter = ({ count, increment, decrement }) => {
 return (
   <div>
     <p>Count: {count}</p>
      <button onClick={increment}>Increment</button>
      <button onClick={decrement}>Decrement</button>
    </div>
   );
};

const mapStateToProps = (state) => ({
 count: state.count,
});

const mapDispatchToProps = {
 increment,
 decrement,
};

export default connect(mapStateToProps, mapDispatchToProps)(Counter);

6. Wrap your root component with the `Provider` from `react-redux` to make the Redux store available to your entire application.

// App.js
import React from 'react';
import { Provider } from 'react-redux';
import store from './store';
import Counter from './Counter';

const App = () => {
 return (
   <Provider store={store}>
     <Counter />
   </Provider>
   );
 };

export default App;

In this example, the “Counter” component is connected to the Redux store using the connect function. The component receives the count state and the increment and decrement action creators as props. When the buttons are clicked, they trigger the corresponding actions, which update the state in the Redux store, causing the component to re-render with the updated count value.


Here are three small project ideas that can help you practice using React Redux for state management:

1. Todo List App:
Create a simple todo list application using React Redux. Users should be able to add new tasks, mark tasks as completed, and remove tasks. Redux can be used to manage the list of tasks and their completion status. This project will give you a hands-on experience in setting up the Redux store, creating actions, and managing the application’s state.

2. Counter with Multiple Counters:
Build a counter application where you can have multiple counters on the screen. Each counter should have its own increment, decrement, and reset buttons. Use Redux to manage the state of each counter independently. This project will help you understand how to manage multiple pieces of state within the Redux store and how to organize actions and reducers.

3. User Profile Dashboard:
Create a user profile dashboard that displays a user’s information, such as name, email, and profile picture. Allow users to edit their profile information and update it in real time. Use Redux to manage the user’s profile data and ensure that changes are reflected throughout the application. This project will provide insights into managing more complex forms and asynchronous actions with Redux.

Use these projects, to gain a better understanding of how to structure code, manage state, and handle interactions using Redux.


Here are some sources for learning more about using “react-redux” for state management with React:

  1. Official Redux Documentation
    The official Redux documentation is a comprehensive resource for learning about Redux and how to integrate it with React.

  2. React Redux Documentation
    This is the official documentation for the `react-redux` library, which provides bindings between React and Redux. It explains how to use `connect`, `Provider`, and other key concepts.

  3. Redux Essentials Tutorial
    This is an excellent tutorial series from the Redux team that covers the essentials of using Redux and `react-redux`. It’s a great starting point for beginners.

  4. Redux Toolkit Documentation
    Redux Toolkit is an official package that simplifies many aspects of Redux development, including creating reducers, actions, and the store setup. It’s highly recommended for most Redux projects.

Practice is key and the official documentation and tutorials provide practical examples that you can follow along with and adapt to your own projects.

Benefits of RESTful Routing

Using RESTful routing for a website offers can enhance the design, scalability, maintainability, and overall user experience of the web application. REST (Representational State Transfer) is an architectural style that leverages the existing principles of the web to build APIs and web applications.

Simplicity and Uniformity

RESTful routing adheres to a set of simple and consistent principles. The uniformity of URLs and the HTTP methods (GET, POST, PUT, DELETE) makes it easy for developers to understand and use the API efficiently. This consistency promotes a clear and intuitive structure, making it easier for new developers to join a project and quickly grasp how different endpoints work.

Scalability

RESTful routing contributes to the scalability of web applications. By using HTTP methods appropriately, RESTful APIs can support caching mechanisms, reducing the need for repeated requests to the server. Caching can significantly improve response times and reduce server load, which is crucial when dealing with a large number of concurrent users or heavy traffic.

Statelessness

RESTful routing follows a stateless architecture, meaning each request from the client to the server must contain all the necessary information to understand and process it. This approach eliminates the need for the server to store session information, reducing server overhead and making it easier to scale horizontally by adding more servers if needed.

Flexibility and Interoperability

RESTful APIs communicate over standard HTTP protocols, which are well-supported by various programming languages and platforms. This design choice enables easy integration with different systems and promotes interoperability between different technologies. As a result, clients can be developed in one language or technology and still interact seamlessly with the server, which could be developed using a different language or technology.

Easier Testing and Debugging

RESTful routing simplifies testing and debugging processes. Since each endpoint represents a specific resource and action, testing individual components becomes straightforward. Developers can use tools like Postman or cURL to interact with the API endpoints directly, making it easier to test and validate different parts of the application. Additionally, RESTful APIs often return data in standardized formats like JSON, which further aids in debugging and simplifies data parsing on the client-side.


In Python, you can create a RESTful route using a web framework like Flask. Flask is a popular framework that allows you to define routes easily.

First, make sure you have Flask installed.

pip install Flask

Now, create a basic Flask application with a RESTful route:

from flask import Flask, jsonify, request

app = Flask(__name__)

# Sample data (usually fetched from a database)
users = [
 {"id": 1, "name": "John Doe"},
 {"id": 2, "name": "Jane Smith"},
 {"id": 3, "name": "Bob Johnson"}
]

# RESTful route to get all users
@app.route('/api/users', methods=['GET'])
def get_users():
 return jsonify(users)

# RESTful route to get a specific user by ID
@app.route('/api/users/<int:user_id>', methods=['GET'])
def get_user(user_id):
 user = next((user for user in users if user['id'] == user_id), None)
 if user:
   return jsonify(user)
 else:
   return jsonify({"message": "User not found"}), 404

if __name__ == '__main__':
 app.run(debug=True)

In this example there are two RESTful routes:

  1. ‘/api/users’ (GET): This route returns a JSON response containing a list of all users in the ‘users’ list.

  2. ‘/api/users/<int:user_id>’ (GET): This route takes a ‘user_id’ as a parameter in the URL and returns the user with the specified ID. If the user is not found, it returns a 404 error.

To run the application, save the code to a file (something like ‘app.py’) and execute it:

python app.py

Now your Flask application is running, and you can access the RESTful routes:

This is a simple example and in a real-world application you would likely interact with a database or other data storage systems to fetch and manage the data for the RESTful routes. Flask provides an easy way to create RESTful APIs in Python, and you can extend and customize it to suit your specific application’s needs.

In summary, RESTful routing offers simplicity, uniformity, and scalability while promoting statelessness and interoperability. By adhering to these principles, developers can create web applications with clear, intuitive APIs that are easily scalable, maintainable, and compatible with various client technologies. This approach ensures a smooth user experience and streamlines the development process, making RESTful routing a great choice for modern web development.

Using the the .select() method in SQLAlchemy

The .select() method in SQLAlchemy is used to construct a SELECT statement for querying a database. It allows you to specify the columns and tables to retrieve data from and apply various filtering and sorting conditions.

Here are three examples that demonstrate using .select():

Example 1: Selecting All Columns From a Table

from sqlalchemy import select
from sqlalchemy.orm import sessionmaker

# SQLAlchemy session object named 'session'

# Define the table model
Base = declarative_base()

employee = class Employee(
  id = Column(Integer, primary_key=True),
  name = Column(String),
  age = Column(Integer)
)

# Create a select statement to retrieve all columns from the 'employees' table
stmt = select(employee)

# Execute the select statement
result = session.execute(stmt)

# Iterate over the result to fetch the data
for row in result:
  print(row)

In this example, with an existing SQLAlchemy session object named ‘session’ and a table named ‘employees’ with columns ‘id’, ‘name’, and ‘age’. There is also a defined model called Employee and its table name and columns are specified using SQLAlchemy.

Creating a select statement using select(Employee) to retrieve all columns from the ‘employees’ table. Here, Employee represents the table model defined earlier. The select statement constructs a query to fetch all the rows and columns from the ‘employees’ table, and calling session.execute(stmt) then executes the statement.

The result object obtained from the execution allows for iteration over the rows using a loop. In this example, the print statement displays each row of the retrieved data. Further, all of the values of individual columns are accessible using the column names as attributes of the row object (e.g., row.id, row.name, row.age).

Example 2: Selecting Specific Columns with a Filter Condition

from sqlalchemy import select
from sqlalchemy.orm import sessionmaker

# Create a select statement to retrieve 'name' and 'age' columns from the 'employees' table
stmt = select(Employee.name, Employee.age).where(Employee.age > 30)

# Execute the select statement
result = session.execute(stmt)

# Iterate over the result to fetch the data
for row in result:
  print(row.name, row.age)

Continuing with the same ‘session’ object and the ‘employees’ table defined in the previous example, this example shows a select statement using select(Employee.name, Employee.age) to retrieve only the ‘name’ and ‘age’ columns from the ‘employees’ table. Additionally, a filter condition using .where(Employee.age > 30) retrieves only the rows where the ‘age’ column is greater than 30.

Executing the select statement with session.execute(stmt) retrieves the result set. It is also possible to iterate over the result set and access the values of the ‘name’ and ‘age’ columns for each row. In this example, the ‘name’ and ‘age’ values are printed using row.name and row.age.

Example 3: Applying Ordering and Limiting the Result Set

from sqlalchemy import select
from sqlalchemy.orm import sessionmaker

# Create a select statement to retrieve 'name' and 'age' columns from the 'employees' table

# Order the results by 'age' in descending order and limit the result to 5 rows
stmt = select(Employee.name, Employee.age).order_by(Employee.age.desc()).limit(5)

# Execute the select statement
result = session.execute(stmt)

# Iterate over the result to fetch the data
for row in result:
  print(row.name, row.age)

In this example, again using the existence of the ‘session’ object and the ‘employees’ table a select statement is created using select(Employee.name, Employee.age) to retrieve the ‘name’ and ‘age’ columns from the ‘employees’ table. To control the order of the results using .order_by(Employee.age.desc()) sorts the rows by the ‘age’ column in descending order. Additionally, this limits the result set to 5 rows by using .limit(5).

Executing the select statement with session.execute(stmt) retrieves the result set, which contains the ordered and limited data. Iterating over the result set and accesses the ‘name’ and ‘age’ columns for each row. In this example the ‘name’ and ‘age’ values are printed.

These examples demonstrate how you can use the .select() method in SQLAlchemy to construct complex SELECT statements for querying databases. Remember to adapt the code to your specific database and table structures.

For more information about SQLAlchemy and the .select() method:

Using Custom Fonts in React

Fonts play a role in capturing the attention of users and creating memorable experiences. While standard web fonts like Arial and Times New Roman work in a simple app, they may not always align with the unique branding or design requirements. This is where custom fonts can be a useful feature.

Going beyond the standard font library and adding a distinctive typography can personalize a web site/application. In this blog post, we will explore the process of integrating custom fonts into a React application, and walk through the necessary steps, from importing font files and defining CSS rules to applying the custom font to specific elements or components within your React components.

To use custom fonts in React, you can follow these steps:

Step 1: Import the Font File

First, make sure you have the font file (usually in the format of .TTF or .OTF, but any font type should work) that you want to use. It is also helpful to store the font file in your project’s asset folder. If there is not an asset folder in the project then you can create one inside the src directory. A good location might look like “src/assets/fonts”.

Step 2: Define a CSS File for the Font

Create a CSS file in your project, such as “src/assets/css/fonts.css”, to define the font-face rules for your custom font.

Open the CSS file and add the following code:

@font-face {
   font-family: 'CustomFont';
     src: url('../fonts/CustomFont.ttf') format('truetype');
     /* Add additional font formats if necessary */
}

In this example, the font file “CustomFont.ttf” is a placeholder for the custom font and is located in the “../fonts” directory relative to the CSS file. Adjust the path accordingly based on your project structure.

It’s important to note the format requirement. You can find more information about the accepted formats here.

Step 3: Import the CSS File

Next, if you would like to style the fonts within the React components then import the CSS file in React where you want to use the custom font. You can do this by adding the import statement at the top of your component file:

import React from 'react';
import './assets/css/fonts.css'; // Path to your CSS file

function MyComponent() {
 // Component code
}

Step 4: Apply the Custom Font

Now, you can apply the custom font to the desired elements within your component. Use the “font-family” CSS property and set it to the name you defined in the font-face rule (“CustomFont” in our example).

import React from 'react';
import './assets/css/fonts.css'; // Path to your CSS file

function MyComponent() {
 return (
   <div style={{ fontFamily: 'CustomFont' }}>
     <h1>This text will use the custom font.</h1>
     <p>Some other text with the custom font.</p>
   </div>
 );
}

In this example, we apply the custom font to a <div> element and all its children. You can also apply it to specific elements or components by setting the “fontFamily” style property accordingly.

That’s it! With these steps, you can use custom fonts in your React app.

Remember to adjust the file paths and font names based on your project’s structure and the actual font file you are using.

Using the .map() function in JavaScript

The map() function in JavaScript is a higher-order function that operates on arrays. Higher-order functions in JavaScript are a type of function that either accept functions as an argument or return functions.

The map() function allows you to transform each element of an array and create a new array based on the transformation. Creating a new array from the function is a benefit of the map() function and allows for non-destructive manipulation of the original array. The resulting array will have the same length as the original array, but with each element modified according to the transformation provided.

The syntax of the map() function is:

const newArray = array.map((element, index, array) => {
  // Transformation logic
  return transformedElement;
  });

array — The original array on which you want to apply the transformation.

element — The current element being processed.

index — The index of the current element being processed.

array — The original array itself.

Here are some examples to show how the map() function works:

Example 1: Doubling Numbers

const numbers = [1, 2, 3, 4, 5];
const doubledNumbers = numbers.map((num) => {
  return num * 2;
  });
console.log(doubledNumbers); // Output: [2, 4, 6, 8, 10]

In this example, the map() function takes each number in the ‘numbers’ array, multiplies it by 2, and returns the transformed element, resulting in a new array with doubled numbers.

Example 2: Converting Strings to Uppercase

const names = ['john', 'jane', 'jack'];
const capitalizedNames = names.map((name) => {
  return name.toUpperCase();
  });
console.log(capitalizedNames); // Output: ['JOHN', 'JANE', 'JACK']

The map() function converts each name in the ‘names’ array to uppercase using the toUpperCase() method and returns the modified string, resulting in a new array with capitalized names.

Example 3: Manipulating Object Properties

const users = [
  { id: 1, name: 'John', age: 25 },
  { id: 2, name: 'Jane', age: 30 },
  { id: 3, name: 'Jack', age: 28 }
  ];
const userNames = users.map((user) => {
  return user.name;
  });
console.log(userNames); // Output: ['John', 'Jane', 'Jack']

In this example, the map() function extracts the ‘name’ property from each object in the ‘users’ array and returns an array containing only the names.

The map() function in JavaScript provides a concise and efficient way to transform the elements of an array and create a new array based on the specified transformation logic. It simplifies the process of iterating over an array, applying modifications to each element, and collecting the results, and is a powerful tool for various data manipulation tasks.

Sources

Here are some sources that were used for research and that can be used to learn more:

  1. MDN Web Docs — Array.prototype.map() — This is the official documentation on map() function provided by Mozilla Developer Network (MDN).

  2. JavaScript.info — Array methods: map, filter, reduce — This page on JavaScript.info covers various array methods, including map().

  3. W3Schools — JavaScript Array map() Method — W3Schools provides a guide on the map() function with examples and explanations