Tuesday, 7 October 2025

GraphQL vs REST API: A Comparative Study

GraphQL and REST are two prominent approaches for building APIs. REST has been around for a long time, offering a simple way to structure and interact with web services. GraphQL, developed by Facebook in 2012, is a more modern alternative that addresses some of the limitations of REST. This blog post provides a comparative analysis of GraphQL and REST APIs in tabular format, along with examples of input endpoints and their respective outputs.

Comparative Analysis

1. Data Fetching

Aspect GraphQL REST
Querying Data Allows querying multiple resources in a single request Requires multiple requests to different endpoints for related data

Example Query { user(id: "1") { name, email, posts { title } } }

GET /user/1 and then GET /user/1/posts

Example Output {"data": {"user": {"name": "John", "email": "john@example.com", "posts": [{"title": "First Post"}]}}} {"name": "John", "email": "john@example.com"} / [{"title": "First Post"}]

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Saturday, 4 October 2025

The Git & Github Bootcamp Part 7- Master on essentials and the tricky bits: rebasing, squashing, stashing, reflogs, blobs, trees, & more!


The Power of Reflogs - Retrieving “Lost” Work

1. Introducing Reflogs

Reflogs are a mechanism in Git that records updates to refs (branch heads, tags, etc.), effectively logging every state your repository has been in. This includes commits, merges, and even failed attempts at rewriting history.

2. The Limitations of Reflogs

Reflogs are local to your repository; they are not shared when you push or pull changes. They’re meant for recovering local changes that may have been lost or mistakenly altered. Additionally, entries in reflogs expire after a certain period (default is 90 days for commits that can no longer be reached and 30 days for reachable commits).

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Thursday, 2 October 2025

5 Fresh Project Ideas for Data Analysts to Explore

The world of data analysis is dynamic and continuously evolving. For data analysts looking to expand their portfolio or gain new insights, working on real-world datasets can be both enlightening and challenging. Here are five fresh project ideas that offer a wealth of information to analyze, visualize, and model.

🏠 Airbnb Open Data

Dataset: Airbnb Open Data on Kaggle
Project: Analyze the vibrant homestay landscape of New York City through Airbnb’s open data. From pricing strategies to seasonal availability, dive deep into what makes a successful Airbnb listing stand out in the bustling Big Apple.

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Tuesday, 30 September 2025

Exploring the Latest Functionalities in Python: A 2024 Overview

Python continues to be one of the most popular programming languages, renowned for its simplicity and versatility. As we move into 2024, the language has introduced several exciting features that enhance its functionality and usability. In this blog post, we’ll explore some of the latest additions to Python, including structural pattern matching, type hinting improvements, and enhancements in standard libraries.

1. Structural Pattern Matching

Introduced in Python 3.10, structural pattern matching has been refined and expanded in the latest versions. This powerful feature allows developers to match complex data structures using a concise syntax, making code more readable and easier to maintain.

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Monday, 29 September 2025

Mastering PHP: Converting Variables to Strings Like a Pro

When working in PHP, you may need a way to convert various data types into strings, similar to Java or .NET’s toString() method. In PHP, there isn’t a direct toString() method, but PHP provides several ways to achieve similar functionality. Let’s explore a few approaches, including examples for different data types and complex objects.

1. Type Casting: Converting Variables to Strings

The simplest way to convert a variable to a string is by type casting. This method works effectively for scalar values (integers, booleans, floats).

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Saturday, 27 September 2025

How to Find the Directory Where a Shell Script Resides

When working with Unix shell scripts, there are many scenarios where you need to determine the directory in which the script itself is located. For example, you might want to reference other files relative to the script’s location, regardless of where the script is being executed from. This task isn’t as straightforward as it might seem because scripts can be called from different directories or via symbolic links.

In this blog post, we’ll explore several methods to find the directory of a shell script, with examples in Bash and other Unix shells.

Why Do You Need the Script Directory?

Sometimes, scripts depend on other resources like configuration files or other scripts that are located in the same directory as the script itself. If you try to reference those files using relative paths, things can break if you run the script from a different directory. The solution is to dynamically determine the directory where the script resides and base all paths on that.

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Understanding Perl’s Ternary Operator and Operator Precedence

 

In the world of programming, understanding how different operators interact within a language can drastically change the outcome of your code. Today, we’re diving into Perl, a language known for its flexibility and capabilities, particularly focusing on an interesting case involving the ternary (conditional) operator and operator precedence.

The Ternary Operator Conundrum

Perl’s ternary operator ?: is often used as a concise substitute for the if...else statement. However, unlike some other languages, Perl has its quirks regarding how expressions involving the ternary operator are evaluated, especially when combined with assignment operators.

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