Tag: Tutorial
Creating a React Calculator App and Converting it to an Electron Desktop Application
Introduction In this blog post, we’ll walk through the process of creating a React Calculator App and converting it into an Electron Desktop Application. This journey will take us from setting up a basic React project to packaging a fully functional desktop application that can run on various operating systems. Setting Up Your React Calculator…
Streamlining LLM Integration with LiteLLM
In the rapidly evolving landscape of Large Language Model (LLM) applications, developers often face significant challenges when integrating multiple LLM providers. Each provider—whether OpenAI, Anthropic, Cohere, or others—comes with its own API structure, authentication methods, and response formats, creating a complex integration landscape. What is LiteLLM? LiteLLM is an open-source library that provides a unified…
Building a MCP Server So LLMs Can Count Letters
Large Language Models (LLMs) sometimes struggle with simple counting tasks like determining the number of ‘r’s in words like “strawberry” or “raspberry”. While this is often used as a gotcha test for LLMs, there’s a practical solution – creating a Model Context Protocol (MCP) server to handle these counting tasks reliably. MCP is an innovative…
Using Ipywidgets in Jupyter Notebooks
Introduction to Ipywidgets Ipywidgets are a powerful tool that can enhance the interactivity and functionality of Jupyter Notebooks. These widgets allow users to create interactive elements such as sliders, buttons, dropdown menus, and text boxes, making it easier to visualize data, manipulate parameters, and customize the user experience. With ipywidgets, you can create dynamic and…
Creating Charts and Graphs in JavaScript with React and Recharts
Introduction In the world of web development, data visualization plays a crucial role in conveying information in a clear and concise manner. Charts and graphs are powerful tools that help users understand complex data sets at a glance. JavaScript, with its versatility and popularity, is often the language of choice for creating interactive and dynamic…
Creating a REST API using Python and Flask
Introduction to Flask and REST APIs Flask is a lightweight and versatile web framework for Python that allows developers to easily build web applications, including REST APIs. It provides a simple and intuitive way to create web services that can be consumed by other applications. Flask is known for its flexibility, making it a popular…
LangGraph Basics: Building Advanced AI Agents with Graph Architecture
Why LangGraph? Before diving into installation, let’s understand why LangGraph is a powerful tool for building AI agents: Installation and Setup with uv Please see our uv tutorial for instructions on installing and setting up uv. These commands will work with pip and a standard virtual environment as well. Installation Steps Here’s how to set up your…
Python Data Validation with Pydantic
Installing and Setting Up Pydantic Pydantic has become one of the most popular data validation libraries in the Python ecosystem. Before we dive into its powerful features, let’s get it installed and ready to use. Basic Installation Installing Pydantic is straightforward using pip: Version Considerations As of this writing, Pydantic has two major versions available:…
Using TensorFlow.js ML Models for Pose Detection in the Browser
Machine learning has traditionally required specialized knowledge and powerful servers, but TensorFlow.js now brings these capabilities directly to web browsers. By leveraging TensorFlow.js pretrained models we can quickly perform a variety of machine learning tasks. Browser-based machine learning offers several compelling advantages: In this tutorial, we’ll build a real-time gesture control application that uses your…