Developer Guides and Projects

Introduction Multi-asset investing is gaining traction among investors who seek diversification and stability. ETMoney Genius Multi Asset Investment is a relatively new approach that leverages technology-driven portfolio allocation, whereas traditional Multi Asset Mutual Funds follow a more conventional route managed by fund houses. In this article, we will compare ETMoney Genius Multi Asset Investment with Multi Asset Mutual Funds to understand their key differences, advantages, and limitations. What is ETMoney Genius Multi Asset Investment? ETMoney Genius is a subscription-based investment advisory service that provides customized multi-asset allocation strategies. It dynamically recommends a portfolio composed of equity, debt, and gold ETFs or index funds, based on market conditions and risk appetite. Features of ETMoney Genius Multi Asset Investment: Personalized Investment Strategy : Tailored to an investor's risk profile. Dynamic Asset Allocation : Adjusts investments ...

  Introduction Diversification is a key strategy in portfolio management that helps investors manage risk and achieve more stable returns. While equities often take the spotlight, debt instruments play a crucial role in balancing a portfolio. Debt assets, such as bonds and fixed-income securities, provide stability, regular income, and a hedge against market volatility. Understanding Debt Asset Class Debt investments involve lending money to an entity (such as a government or corporation) in exchange for periodic interest payments and the return of principal upon maturity. The most common types of debt securities include: Government Bonds : Issued by governments, these are considered low-risk investments. Corporate Bonds : Issued by companies to raise capital, offering varying degrees of risk and return. Municipal Bonds : Issued by local governments, often providing tax advantages. Treasury Securities : Backed by the government, these are among the safest debt investments. ...

Introduction Integrating ChatGPT into a C# application allows developers to enhance their applications with AI-powered text generation. In this guide, we will demonstrate how to connect a C# application to OpenAI's ChatGPT API. Prerequisites Ensure you have the following: .NET 6 or later installed An OpenAI API key A C# development environment (such as Visual Studio or VS Code) You can obtain an API key by signing up at OpenAI . Setting Up the C# Project Create a new C# console application using the .NET CLI: mkdir ChatGPTApp cd ChatGPTApp dotnet new console Install the required package for making HTTP requests: dotnet add package System.Net.Http.Json Implementing ChatGPT API Integration 1. Create a ChatGPT Service Create a new file ChatGPTService.cs and add the following code: using System; using System.Net.Http; using System.Net.Http.Json; using System.Text.Json; using System.Threading.Tasks; public class ChatGPTService { private readonly HttpClient _httpC...

 The financial sector is one of the most data-rich industries, and AI has emerged as a powerful tool to extract insights, predict trends, and automate decision-making. However, training AI models with financial data comes with unique challenges—ranging from data sensitivity and regulatory compliance to the complexities of time-series analysis. This guide will walk you through the process, providing clear steps and best practices to help you build robust AI models tailored for financial applications. 1. Define Your Objectives Begin by clarifying what you want to achieve with your AI model. In finance, potential applications include: Risk Assessment: Predicting credit defaults or market risks. Forecasting: Anticipating stock prices, market trends, or economic indicators. Algorithmic Trading: Creating strategies based on historical patterns. Fraud Detection: Identifying anomalous activities in transactions. Portfolio Optimization: Allocating assets for maximum return wit...

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 This is getting started guide for ML beginners who wants to use Jupyter Notebook on Docker environment. Docker is a way to use different development environments and frameworks without physically install them on your PC or workstation. For more information, please visit docker website.

This is trouble shoot guide for SQL Server suspected database caused by storage issue. Using the Server Studio run the following script EXEC sp_resetstatus 'yourDBname'; ALTER DATABASE yourDBname SET EMERGENCY DBCC checkdb('yourDBname') ALTER DATABASE yourDBname SET SINGLE_USER WITH ROLLBACK IMMEDIATE DBCC CheckDB ('yourDBname', REPAIR_ALLOW_DATA_LOSS) ALTER DATABASE yourDBname SET MULTI_USER Replace the yourDBName with suspected databasee.

Drizzle is comparatively simple and performant and easy to use Typescript ORM when compared to other ORMs like Prisma. It is a light weight and has zero dependencies. 

 We can use the redirect function from next/navigation module to redirect another route. In the route components page just import the module and specify the path to redirect, as follows.           import { redirect } from "next/navigation" ; export default function Home () {   redirect ( '/dashboard' )   return ( ..... .... )     

 Nextjs is a powerful Reactjs framework which has a good developer experience. In this post I like to show you how to import JSON data file into the Nextjs project with Typescript Type.

  Hugging Face Hugging face is a machine learning community where you can share pre trained models and explore other trained models, which are suited for many use cases. Many of the models already trained well and ready to use. Without delay get started! Python setup Open your Jupiter notebook or for easy startup without python installation on local machine, use Colab . In this example we are using mistralai/Mistral-7B-v0.1 model. Let's install the transformers module which is the primary dependency for HuggingFace.   conda install transformers Following script will work like a charm . # mistrel model test from transformers import AutoModelForCausalLM, AutoTokenizer model_id = "mistralai/Mistral-7B-v0.1" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id) text = "Hello my name is" inputs = tokenizer(text, return_tensors="pt") outputs = model.generate(**inputs, max_new_tokens=20) print(tokenizer.d...

 I have been depending on Context for passing state through components in React and eventually things complicated when data is become complex. Move on to beautiful Redux but it is much complex to digest. For learning Redux I have spent lots of time and Redux Toolkit, easy to use Redux, sav ed me a lot. Even though RTK is ok, it is not a simple library. I am fan of Svelte store and Vuex , Pinia store. Is there any such library for React ? I recently found Zustand a minimal store for React. Love it. 😍 Create a store Binding Updating the state Create a store Create a store using the create an d export the custom hook. <pre class='language-javascript'> <code> import create from 'zustand' const useBearStore = create((set) => ({ bears: 0, increasePopulation: () => set((state) => ({ bears: state.bears + 1 })), removeAllBears: () => set({ bears: 0 }), })) </code></pre> Binding In your component use the ho...

In my recent Nextjs project, need to shape object array to a different type.  Mapping through the entire array in my arrow function and return the new object. Even though the return statement work. The type is still unknown. So, I have to covert the result into array of my type. Mapping Array Type export type LatestInvoiceType={ id:number; amount: number; customer:{ name:string; email:string; image_url:string; } } New Type export type LatestInvoice = { id: string; name: string; image_url: string; email: string; amount: string; }; Solution to the problem Here is my solution to the problem const latestInvoices = invoices.map(invoice => { return{ id:invoice.id.toString(), amount:invoice.amount.toString(), name:invoice.customer?.name, email:invoice.customer?.email, image_url:invoice.customer?.image_url }; }) as LatestInvoice[] ;

 I got Mac Mini M2 last Saturday, wow. I love the Machine it saved my Desk. It is the base Model , with 8GB ,250 GB SSD. I would like to share some of my experiences With M2. It is incredibly fast. Running Windows 11 with Parallel VM I'am using P arallels 8.0.1 , successfully configured windows 11 and installed Microsoft Visual Studio and it work without any trouble. Parallels allow me switch between Windows Apps and Mac Apps with ease and peace. I did find some kind of hanging and black out while the Mac went to sleep and wake from sleep. Following Not working for me - Parallels MSSQL Server Docker Above mentioned Apps can't run on VM. So I decided to run it from Docker container which is on the Mac. Apple Silicon and Docker Some of the Docker Images not working with M2, it could be designed for Intel chip. So we need Rosetta for using such Docker images. Installing Rosetta Rosetta is referred as translater for Intel Mac A...

  How to load an image in Keras for machine learning from a url ?

 In Keras Sequential Model problems we can get predicted result as output. As a beginner you may note that it is not what you expected. So how do we get the actual label for that image.?

Building a dynamic website made so easy with Python -Flask, a Micro FrameWork which helps us to create the websites like Twitter and even more. Forget about the complicated web programming languages, start learning Python. So where you start, Python or Flask ?. I should say, you have to learn basics of how Python first, just have a look at Python.org