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First and Second Derivatives with Taylor Expansions

1. First and Second Derivatives The first derivative of a function f(x), denoted f'(x), measures the rate of change of f(x) with respect to x. It tells us whether the function is increasing or decreasing at a given point. The second derivative, f''(x), measures the rate of change of the first derivative. It tells us about the concavity of the function (whether it's curving upward or downward) and helps identify points of inflection.  Example: Consider f(x) = x^2. - First derivative: f'(x) = 2x. This tells us that the slope of f(x) at any point x is 2x. - Second derivative: f''(x) = 2. Since f''(x) > 0, the function is concave upward everywhere. --- 2. Taylor Expansions A Taylor expansion approximates a function f(x) near a point x = a using its derivatives. The idea is to express f(x) as a polynomial, which is easier to work with. The Taylor seriesof f(x) around x = a is: f(x) = f(a) + f'(a) (x - a) + (f''(a) / 2!) (x - a)^2 + (f'...

Rent vs Buy a Home in Depth Financial Analysis

                                                   image gnerated by metaai Say you are staying in rent and want to get a clear idea to decide whether to buy a similar home/apartment or stay in rent. We are going to do the in depth financial analysis with all the areas covered practically with future values as well. If you buy the property, you no longer need to pay rent, which is increasing at 8% per year. This is a significant factor to consider, as rising rent costs can make renting more expensive over time. Let’s revisit the analysis by incorporating the increasing rent cost and compare it with the cost of buying. 1. Rent Increase: Rent increases at 8% per year.  — Starting rent: ₹15,000 per month. 2. Buying Costs:  — Property price: ₹65,00,000.  — Down payment: ₹13,00,000 (20% of property price).  — Loan amount: ₹52,00,000.  — Mortga...

Python Open Source Tools

  image credit wikipedia The world of Python development is vast, with a wide array of tools available to streamline every stage of the process. From managing dependencies to optimizing performance, ensuring code quality, and enhancing security, these tools are essential for developers looking to build robust and efficient applications. Let’s dive into the key categories and the top tools that can elevate your Python development workflow. Managing Dependencies and Packages   Handling dependencies is a critical part of Python development. Here are some of the most popular tools to simplify this process:   - pip: The go-to package manager for Python, used for installing and managing libraries.   - Conda: A versatile tool that manages packages, dependencies, and environments across multiple programming languages.   - Poetry: A modern solution that simplifies dependency management and package publishing.   Performance Monitoring and Pro...

Analyzing IoT Data Using InfluxDB, Python, and Modbus

  image credit researchgate IoT Data Sources for Industrial and Smart Applications IoT devices generate real-time data from various sensors. Below are some key IoT data sources and example use cases , focusing on an Arduino-based warehouse monitoring system with temperature and humidity sensors. 1. IoT Data Sources 1.1. Industrial and Smart Warehouse Sensors Temperature & Humidity Sensors (e.g., DHT11, DHT22, BME280) – Monitor warehouse climate. CO2 and Air Quality Sensors (e.g., MQ135) – Ensure air quality for workers and storage conditions. Light Sensors (LDR) – Adjust warehouse lighting automatically. Vibration Sensors – Detect abnormal equipment movements or seismic activity. RFID & Barcode Scanners – Track inventory movement. Weight Sensors (Load Cells) – Monitor stock levels in real-time. Motion Sensors (PIR) – Detect unauthorized movement in restricted areas. 2. IoT Warehouse Setup with Arduino & DHT11 (Temperature & Humidity) Components Requ...

Industrial GPU Computers

  What Are Industrial GPU Computers, and What Are They Used For? The rapid convergence of AI and automation technologies is driving the need for high-speed, large-scale data processing at the edge. Edge devices, which were once simple data collectors, now leverage AI models and machine learning algorithms to perform complex analysis directly on the data they gather. This shift demands significantly higher processing power, which traditional CPUs alone cannot provide. Industrial GPU computers bridge this gap by combining the strengths of CPUs and GPUs, delivering the performance needed for tasks like real-time image processing, data analysis, and machine learning inference. Originally deployed in data centres, these systems are increasingly being adopted at the edge, making them a cornerstone of the Edge AI era. This article explores the advantages, core features, and applications of industrial GPU computers, along with real-world use cases to illustrate their transformative potenti...

Derivative Market with Options and Future

                                                                                 generated by metaai 1. What are Derivatives? Derivatives are financial contracts whose value is derived from an underlying asset, such as stocks, commodities, currencies, or indices. The two most common types of derivatives are options and futures. 2. Options An option is a contract that gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a predetermined price (called the strike price) on or before a specific date (called the expiration date). Key Terms in Options: - Call Option: Gives the buyer the right to buy the underlying asset. - Put Option: Gives the buyer the right to sell the underlying asset. - Strike Price: The price at whic...

Systematic Withdrawn from Retirement Corpus

  generated by metaai Everyone sometimes in their life tries to make proper and safe plans for their retirement and investment. Let's take a look at an example.  You have 15000000 investment if it grows 15% CAGR [year by year growth] then how much you can withdraw with SWP each month from now without decreasing the total corpus, and what will be the corpus after 10 years. To calculate the monthly withdrawal you can make using a Systematic Withdrawal Plan (SWP) from your mutual fund investment without decreasing the total corpus, and to determine the corpus after 10 years, we need to consider the following: 1. Initial Investment (P): ₹15,000,000   2. Annual Growth Rate (CAGR): 15%   3. Time Period (T): 10 years   4. Monthly Withdrawal (SWP): This is what we need to calculate. Step 1: Calculate the Future Value of the Corpus After 10 Years The future value (FV) of your investment after 10 years, assuming it grows at 15% CAGR, can be calculated using...