Google’s Agent Development Kit (ADK) is a powerful framework that makes it easy to create, evaluate, and deploy AI agents. This tutorial will walk you through using the ADK to build text analysis agents with different architectures, based on the provided code example. Getting Started with ADK Prerequisites Before diving into the code, you’ll need …
Introduction to Google Agent Development Kit In Python Read More »
Knowledge graphs are powerful tools for representing and organizing complex information in a structured, interconnected way. They have gained significant traction in recent years due to their ability to capture relationships between entities and provide context-rich data representations. This article will explore knowledge graphs in depth, including their applications and implementation in Python. What are …
Web crawlers, also known as spiders or bots, are automated programs that systematically browse the World Wide Web to collect information. In this article, we’ll explore how to implement a basic web crawler in Rust, leveraging the language’s performance and safety features. Why Use Rust for Web Crawling? Rust is an excellent choice for building …
In today’s data-driven world, the need for efficient and scalable data conversion tools is ever-growing. In this article we will explores how to build a robust JSON to YAML converter using FastAPI, Redis Queue (RQ), and RQ Dashboard. This powerful combination allows for asynchronous processing, job monitoring, and easy scalability. The Architecture Our application consists …
Building A Scalable App with FastAPI, Redis Queue and RQ-Dashboard Read More »
The inception and popularity of Large Language Models since (2022-till now) has changed the way we look at the world. With Gen AI – ie the use of Large Models to generate content, ideas and media so many things can be quickly done when it comes to content generation. In this blog post, we will …
CLIs – Command Line Interfaces tools are very useful for most developers and system engineers. In most cases it is expected for it to be pretty responsive. However sometimes a task behind a CLI command may be time demanding and in order not to keep users happy, we mostly use spinners and progress bars to …
How to Add Progress Bars & Spinners to CLIs in Python Read More »
When considering web links as sources and targets, network analysis algorithms have several practical applications across various fields. Here are some key uses: Web Page Ranking and Search Engine Optimization (SEO) Spam Detection and Fraud Prevention Network Structure and Community Detection Centrality and Influence Analysis Information Spread and Virality Web Graph Visualization and Exploration Anomaly …
Practical Applications of Network Analysis on URLs Read More »
Information Diffusion models are used to simulate how information spreads through a network from a set of seed nodes, considering the influence probability between nodes. To plot the spread of information using the Independent Cascade Model in a NetworkX graph and visualize it using Plotly, you can follow these steps. Here’s a step-by-step guide to …
Information Diffusion and Dissemination Models in Network Analysis Read More »
CRUD – Create, Read , Update and Delete is an important concept to master and know for building most applications. In this tutorial we will explore how to build a simple CRUD API in Julia using the Oxygen Framework – which is like the Flask equivalent in Julia. Oxygen.jl is a Julia package for building …
The Python Requests library offers various tricks and tips for making HTTP requests. Here are some examples of its usage: Sending HTTP requests with arbitrary data: The requests library allows you to send HTTP requests with arbitrary data, such as JSON, XML, or even binary data. Here’s an example of sending a JSON payload to …