Devang kumar

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This Python script utilizes NumPy to perform essential matrix operations in a straightforward and interactive manner. The script supports a range of operations, including: Matrix Addition: Computes the element-wise sum of two matrices. Matrix Multiplication: Multiplies two matrices, ensuring dimensional compatibility. Matrix Subtraction: Calculates the element-wise difference between two matrices. Matrix Division: Performs element-wise division of one matrix by another. Matrix Transposition: Transposes each matrix, swapping rows with columns. Matrix Trace: Computes the trace (sum of diagonal elements) for each matrix. The script is designed for ease of use, featuring clear prompts for user input and error handling to manage incorrect inputs and incompatible matrix dimensions. Users are guided through the process of entering matrix dimensions and elements, and the script provides results based on the selected operation. With its user-friendly interface and robust functionality, this script is a valuable tool for learning and applying fundamental matrix operations in Python.

Developed a financial web application integrating stock, mutual fund, and cryptocurrency insights with two ML models: one for investment allocation and another for savings prediction using Random Forest Regressor. Implemented modern UI, data visualization, and intelligent financial recommendations, enabling users to make informed investment and spending decisions.

Hi everyone, I’ve been developing a Python script that gathers real-time weather and air quality data for any city. Now, I’m ready to share it with you all. This script not only prints the weather update on the console, but it also saves the information into a text file and generates an audio file containing the details. Here’s a brief overview of what the script does: Fetches Geographical Data: Retrieves latitude and longitude based on the information from the OpenWeatherMap Geocoding API depending on provided city and state. Weather Details: It allows users to look at OpenWeatherMap Weather API, which can display temperature, weather conditions, wind speed, atmosphere pressure and humidity. Checks air quality: The OpenWeatherMap Air Pollution API provides statements about air quality index along with its description.

Built a finance web application using Django, Python, JavaScript, machine learning, and SQL for personalized insights. Integrated machine learning models to predict expenses and recommend optimal investments, fetched live market data using APIs, implemented real-time financial calculations, and designed a responsive frontend.

Created a browser extension that automatically pushes LeetCode submissions to GitHub repositories. Integrated AI to generate readable explanations for coding solutions in README files, reducing manual effort for competitive programmers.

Engineered a full-stack blogging platform with secure user authentication and personalized dashboards. Implemented RESTful API endpoints using Node.js for CRUD operations and optimized MongoDB queries for low-latency data retrieval. Tools used: HTML, CSS, JavaScript, Node.js, and Express.js.