The scraped stock market data for the day has been successfully exported into an Excel file. You may want to use colors to distinguish the…

Presenting images in Jupyter Notebook cells

Introduction

Unraveling the essence of greedy algorithms and exploring their application with code snippets in both Python and Rust.

Merging Code and Cognition: A Deep Dive into Enhancing Node.js Apps with Machine Learning

Simplifying String Formatting: f-strings vs. + in Python

Python pandas library provides several methods for selecting and filtering data, such as loc, iloc, [ ] bracket operator, query, isin…

The Problem: I use Notion as a central place to collect all my bookmarks. But the metadata is not consistent depending on the website I’m…

Missing values are a common and inevitable part of real-world datasets. Effective handling of these missing values is crucial for robust…

Introduction

Note: The Article’s Meta-information is at the end.

Both recursion and Dynamic Programming (DP) are techniques that can be used to solve problems that have a recursive structure, but they are…

In my previous post — AlgoTrading — Live PNL alerts on Telegram — I went through basics of connecting to zerodha account using kite…

Learn how keyword search works and how language models can improve it!

In Python, underscores can be used in various ways, from variable names to numeric literals. Underscores are a convenient way to make code…

As a newcomer to the world of web development, diving into Django was like discovering a treasure trove of possibilities. Django, the…

Explore advanced SQL topics, including performance optimization techniques, data security measures, and the role of a database administrator

A Data-driven approach to the global warming issue

This blog demonstrates the application of linear regression to predict housing prices in Boston using the famous Boston Housing dataset…

Duplicate Detection in Financial Audits