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  • How to detect if a string is a number with regex (with JavaScript example)

    March 27th, 2023

    To detect if a string is a number with regex, you can use the following regular expression:

    ^-?\d+(\.\d+)?$

    Explanation:

    • ^ matches the start of the string
    • -? matches an optional minus sign (-)
    • \d+ matches one or more digits
    • (\.\d+)? matches an optional decimal point followed by one or more digits
    • $ matches the end of the string

    This regular expression will match any string that represents a number, including integers and decimal numbers, with or without a leading minus sign.


    Here’s an example of how to use this regular expression to check if a string is a number in JavaScript:

    function isNumber(str) {
      return /^-?\d+\.?\d*$/.test(str);
    }
    
    console.log(isNumber('42')); // true
    console.log(isNumber('-3.14')); // true
    console.log(isNumber('0')); // true
    console.log(isNumber('4.2.1')); // false
    console.log(isNumber('hello')); // false

    The test method returns true if the regular expression matches the given string, and false otherwise.

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  • How to remove more than two spaces and new lines with regex

    March 26th, 2023

    To remove more than two spaces and new lines using regex, you can use the following pattern:

    \s{2,}|[\r\n]+

    This pattern matches any sequence of two or more whitespace characters (\s{2,}) or any sequence of one or more newline characters ([\r\n]+).

    To remove these matches from your text using regex, you can use a regex function in your programming language of choice

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  • How to remove extra spaces and new lines using regex in Notepad++

    March 26th, 2023

    Removing extra spaces and new lines can be a tedious task, especially when dealing with large chunks of text. Thankfully, regular expressions (regex) can make this process much easier and more efficient. In this post, we’ll show you how to remove more than two spaces and new lines with regex in just a few simple steps.

    Step 1: Identify the pattern

    First, we need to identify the pattern we want to remove. In this case, we want to remove more than two spaces and any new line characters.

    Step 2: Create the Regex expression

    Next, we’ll create a regex expression to match this pattern. The expression will look like this:

    `[\r\n\s]{3,}`

    This expression matches any sequence of three or more space characters, as well as any new line characters.

    Step 3: Replace the pattern

    Now that we have our regex expression, we can use it to replace the pattern in our text. You can use any text editor that supports regex, such as Notepad++.

    Here’s an example of how to do this in Notepad++:

    1. Open your text file in Notepad++.
    2. Click Ctrl+H to open the “Replace” dialog box.
    3. In the “Find what” field, enter the regex expression: `[\r\n\s]{3,}`
    4. Leave the “Replace with” field blank.
    5. Select “Regular expression” in the “Search Mode” section.
    6. Click “Replace All” to remove all instances of the pattern.

    That’s it! You have successfully removed more than two spaces and new lines from your text using regex. Using regular expressions can save you a lot of time and effort when working with large chunks of text. We hope you found this tutorial helpful!


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  • Node.js with Express and MySQL scaffold

    February 24th, 2023

    Node.js is a popular platform for building server-side applications, while Express is a widely used Node.js framework for building web applications. MySQL is a popular open-source relational database management system used to store and manage data. In this blog post, we will discuss how to scaffold a Node.js and Express application with MySQL.

    What is scaffolding?

    Scaffolding is a technique used in software development to generate code templates that can be used as a starting point for building an application. Scaffolding helps developers save time by providing a starting point with pre-built functionality, structures, and design patterns. With scaffolding, developers can focus on customizing and extending the generated code to fit their specific application needs.

    Scaffolding a Node.js and Express application with MySQL

    To scaffold a Node.js and Express application with MySQL, we will use a package called express-generator. Express-generator is a command-line tool that generates a basic Express application structure with some pre-defined routes, views, and middleware.

    Here are the steps to scaffold a Node.js and Express application with MySQL:

    Step 1: Install Node.js and MySQL

    Before we begin, make sure you have Node.js and MySQL installed on your machine. You can download and install them from their respective websites.

    Step 2: Install express-generator

    Open a terminal or command prompt and run the following command to install express-generator globally:

    npm install -g express-generator

    Step 3: Scaffold the Express application

    Next, run the following command to scaffold a basic Express application:

    express --view=ejs myapp

    This command generates a new Express application called myapp with EJS as the view engine.

    Step 4: Install MySQL package

    To use MySQL in our application, we need to install the mysql package. Run the following command in your terminal:

    npm install --save mysql

    Step 5: Set up a database connection

    We need to set up a connection to our MySQL database. Create a new file called db.js in the myapp directory and add the following code:

    const mysql = require('mysql');
    
    const connection = mysql.createConnection({
      host: 'localhost',
      user: 'root',
      password: 'yourpassword',
      database: 'myappdb'
    });
    
    connection.connect((err) => {
      if (err) {
        console.error('Error connecting to MySQL database: ', err);
        return;
      }
      console.log('Connected to MySQL database');
    });
    
    module.exports = connection;
    

    Replace the values for the user, password, and database properties with your own values.

    Step 6: Create a database table

    Create a new file called users.sql in the myapp directory and add the following SQL code:

    CREATE TABLE IF NOT EXISTS users (
      id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
      name VARCHAR(255) NOT NULL,
      email VARCHAR(255) NOT NULL,
      created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
    );

    This creates a new table called users with four columns: id, name, email, and created_at.

    Step 7: Create a model

    Create a new file called user.js in the myapp/models directory and add the following code:

    const db = require('../db');
    
    const selectAll  = (cb) =>{
      db.query('SELECT * FROM users', (err, results) => {
        if (err) {
          return cb(err);
        }
        cb(null, results);
      });
    };
    
    const insert = (name, email, cb)  => {
      const sql = 'INSERT INTO users (name, email) VALUES (?, ?)';
      db.query(sql, [name, email],(err, results) => {
        if (err) {
          return cb(err);
        }
        cb(null, results);
      });
    };
    

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  • What is “Red, Green, Refactor” in software development?

    February 24th, 2023

    In the world of software development, there are many methodologies and practices that teams can use to ensure high-quality, maintainable code. One such practice is the “Red, Green, Refactor” approach, which has gained popularity in recent years due to its simplicity and effectiveness.

    What is “Red, Green, Refactor”?

    “Red, Green, Refactor” (also known as “Test-Driven Development” or “TDD”) is a software development approach that involves three main steps:

    1. Red: Write a failing test. Before any code is written, the developer writes a test that checks for a specific behavior or outcome. The test should fail initially because there is no code to make it pass.
    2. Green: Write the simplest code to pass the test. Once the test is written, the developer writes the minimum amount of code necessary to make the test pass. This code may not be efficient or well-designed, but it satisfies the requirements of the test.
    3. Refactor: Improve the code without changing the functionality. After the test is passing, the developer can refactor the code to make it more efficient, readable, and maintainable. The goal is to improve the quality of the code without changing the functionality.

    This process is repeated for each feature or behavior that needs to be implemented. By following this approach, developers can ensure that their code is thoroughly tested and that it meets the requirements of the customer or user.

    Why is “Red, Green, Refactor” important?

    There are several benefits to using the “Red, Green, Refactor” approach in software development:

    1. Better code quality: By writing tests first, developers can ensure that their code meets the requirements of the customer or user. Refactoring the code after it passes the tests can also improve its quality and maintainability.
    2. Faster feedback loop: Writing tests first allows developers to get feedback on their code more quickly. If a test fails, the developer knows immediately that something is wrong and can fix it before moving on to the next feature.
    3. Reduced debugging time: By catching errors early in the development process, developers can avoid spending hours debugging complex issues later on.
    4. Easier collaboration: When developers write tests first, they can communicate their expectations to their colleagues more effectively. Tests provide a common language for developers to discuss requirements and functionality.
    5. Increased confidence: Knowing that the code is thoroughly tested and meets the requirements of the customer or user can give developers confidence in their work. This can lead to better job satisfaction and a more positive work environment.

    The “Red, Green, Refactor” approach is a powerful tool for software developers. By writing tests first, developers can ensure that their code meets the requirements of the customer or user, reduce debugging time, and increase collaboration and confidence. While it may take some time to get used to this approach, the benefits are clear. By following this methodology, teams can produce high-quality, maintainable code that meets the needs of their users.

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  • What is Refactor Driven Development?

    February 24th, 2023

    Refactor Driven Development (RDD) is a software development approach that emphasizes continuous refactoring of code as the primary way of improving its design and maintainability. In this approach, developers focus on cleaning up the code and improving its structure and organization, while ensuring that it still works correctly and passes all tests.

    RDD is often contrasted with Test Driven Development (TDD), which focuses on writing tests first, and then writing code to pass those tests. While TDD ensures that the code is correct and meets the requirements, RDD ensures that the code is maintainable and can be easily modified and extended in the future.

    While TDD ensures that the code is correct and meets the requirements, RDD ensures that the code is maintainable and can be easily modified and extended in the future.

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    The RDD process begins by identifying areas of the code that are difficult to work with or could be improved. This could be code that is overly complex, duplicated, or poorly organized. Once these areas are identified, developers work to refactor the code, making it more modular, readable, and reusable.

    During the refactoring process, developers may also identify areas where new features or functionality could be added to the code. Rather than adding these new features directly, developers will often refactor the existing code to make it more extensible, allowing the new functionality to be added more easily in the future.

    The RDD approach can have several benefits for software development teams. By focusing on improving code quality and maintainability, teams can reduce the amount of time and effort required to make changes or add new features. This can lead to faster development cycles and more reliable software.

    Additionally, by continuously refactoring code, teams can avoid the accumulation of technical debt, which can slow down development and make it more difficult to maintain the code over time. Technical debt is a term used to describe the costs associated with taking shortcuts or using quick fixes when developing software, which can lead to problems down the road.

    By continuously refactoring code, teams can avoid the accumulation of technical debt

    Tweet

    In order to implement RDD effectively, teams need to have a strong understanding of software design principles and best practices. And the most important thing: have a good set of unit and integration tests to rely on. Without them, any refactor you make will be a pure risk.

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  • Caching large data with Redis

    February 23rd, 2023

    Redis is an open-source, in-memory data structure store. It is commonly used as a database, cache, and message broker in web development. Redis stores data in key-value pairs and is known for its speed and performance. It can handle large workloads and support concurrent operations, making it a popular choice for caching large data. With its ability to store data in memory, support for various data structures, and built-in features like data expiration, Redis is a powerful tool for improving the performance and scalability of websites and applications.

    Caching is a key component of any application’s architecture. It enables developers to create fast, responsive apps that are able to handle large workloads and support concurrent operations. Redis, an in-memory data structure store, is an increasingly popular choice for caching large data.

    This post will explore how Redis works and why it is a great choice for caching large data. Redis stores data in key-value pairs and uses a data structure that is well-suited for caching.

    Caching is an important aspect of web development that helps to speed up the performance of websites and applications. One of the most commonly used caching systems is Redis. This in-memory data structure store can be used as a database, cache, and message broker, making it an ideal choice for caching large amounts of data.

    When it comes to large data sets, traditional databases can be slow, leading to poor performance for users. Caching this data in Redis can help to speed things up dramatically. Redis stores data in memory, making it incredibly fast compared to disk-based databases like MySQL. This means that when the same data is requested multiple times, Redis can quickly retrieve it from memory, rather than having to go through the slower process of retrieving it from disk.

    Another advantage of using Redis for caching large data is its ability to support multiple data structures. Redis supports a variety of data structures such as strings, hashes, lists, sets, and sorted sets. This makes it an ideal choice for storing complex data structures that can be quickly retrieved and manipulated. For example, if you have a large product catalog, you can store it in Redis as a hash, with each product represented as a key-value pair. This makes it easy to quickly retrieve individual products, or to search the catalog for specific products.

    Redis also has built-in support for data expiration, which means you can set a time limit for how long data should be stored in the cache. This is especially useful for data that changes frequently or becomes stale over time. By setting an expiration time for this data, you can ensure that it is automatically removed from the cache and updated from the database when necessary.

    In terms of scalability, Redis is highly scalable and can handle large amounts of data without slowing down. It can be easily set up as a distributed cache, which allows you to split the data across multiple nodes, providing greater scalability and reliability.

    In conclusion, caching large data with Redis can have a significant impact on the performance and scalability of your website or application. With its in-memory storage, support for multiple data structures, and built-in support for data expiration, Redis is an ideal choice for caching large amounts of data. Whether you’re looking to speed up your website, improve scalability, or store complex data structures, Redis is definitely worth considering as your caching solution.


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  • 5 ideas to optimize page speed loading and boost your page rank

    February 23rd, 2023

    Page speed is an important optimization task for websites as it can have a significant impact on how well your website ranks in search engine results. Slow-loading pages can lead to lower user engagement and a lower position in SERP.

    … but what is SERP?

    SERP stands for “Search Engine Results Page”. It refers to the page that is displayed by a search engine in response to a user’s search query. This page typically includes a list of search results relevant to the user’s query, along with various elements such as ads, featured snippets, and related questions. The search engine’s algorithm determines the order in which the search results are displayed on the SERP, with the most relevant and useful results typically appearing at the top of the page. SERPs can differ in appearance and format depending on the search engine, the user’s device, and the specific query being searched.


    Fortunately, there are several techniques you can employ to optimize page speed loading and boost your page rank. Here are 5 ideas you can use to optimize page speed and get better ranking:

    Here are five ways to optimize page speed loading and boost your page rank:

    1. Compress images: Large images can significantly slow down your website’s loading speed. Compressing images before uploading them to your site can significantly reduce their size without compromising quality.
    2. Minimize HTTP requests: Every time a browser requests a file, page, style, script or any other resource from a server, it slows down the page’s loading speed. Minimizing the number of resources requested can help speed up your website.
    3. Use a Content Delivery Network (CDN): A CDN caches your website’s static files on multiple servers around the world, so they can be delivered quickly to users regardless of their location.
    4. Minimize the use of plugins: Plugins can slow down your website by adding extra code that needs to be loaded. Minimize the use of plugins or choose lightweight alternatives to speed up your site.
    5. Enable browser caching: Enabling browser caching allows frequently requested files, such as images and stylesheets, to be stored on a user’s device, so they don’t have to be reloaded every time they visit your site. This can significantly improve page speed and provide a better user experience.

    By implementing these optimizations, you can improve your website’s loading speed and boost your page rank.

    Google Page Speed is a good starting point to know where you are in terms of speed. I strongly recommend it, you don’t have to be an expert.

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  • How to parse json in Salesforce Apex

    February 23rd, 2023
    Parsing JSON in Salesforce Apex is an important part of salesforce development and is used to integrate data into Salesforce. In this post, we will learn how to parse JSON in Apex to consume external API data in Salesforce.

    JSON (JavaScript Object Notation) is a text-based data interchange format that is used to transmit, transport and store data. It is commonly used to exchange data between web applications, client and server endpoints, database systems and more.

    The best way to parse JSON data

    Let’s see an example:

    public class MyClass {
            public String field1;
            public String field1;
    
            public static MyClass parse(String json) {
                return (MyClass) System.JSON.deserialize(json, MyClass.class);
            }
    }

    More examples here

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  • How to generate a JSON in Salesforce Apex

    February 23rd, 2023

    Let’s see how to get a JSON string based on the attributes of an Apex class in Salesforce

    public class MyClass {
        public String field1;
        public String field2;
        
        public String getJson(){
            JSONGenerator gen = JSON.createGenerator(false);
            gen.writeStartObject();
            if(this.field1 != null) gen.writeStringField('field1', this.field1);
            if(this.field2 != null) gen.writeStringField('field2', this.field2);
            gen.writeEndObject();
            return gen.getAsString();
        }
    }

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