While I was analyzing sales data for a US retail chain, I needed to identify duplicate transactions that had been accidentally entered twice. This is when I realized how important it is to know how to count duplicates in a Pandas DataFrame. Duplicate data can significantly impact your analysis results, leading to incorrect conclusions and … Read more >>
Finding and handling duplicate values is a common task when working with data in Python. Recently, I was analyzing a customer dataset for a US e-commerce company and needed to identify duplicate customer records that were skewing our analytics. The pandas library makes this process easy with several built-in methods. In this guide, I will … Read more >>
When I was working on a data analysis project for a US retail chain, I needed to merge sales data from different stores. The challenge was dealing with missing values (NaN) that appeared after the merge operation. These NaN values were causing calculation errors in my analysis. In this article, I’ll share several practical ways … Read more >>
When working with key-value pairs in TypeScript, developers often face a choice between using the Record utility type and the Map data structure. While both serve similar purposes, they have distinct differences in terms of syntax, usage, and performance. In this tutorial, we’ll explore the difference between record vs map in TypeScript in detail, providing … Read more >>
While working on a TypeScript project, I had to send user details over the network. The user data had to be sent in a byte format instead of plain strings. I had to convert strings to byte arrays in TypeScript for this requirement. In this tutorial, I will explain how to convert a string to … Read more >>
While developing an online shopping application, a developer needs to manage different order statuses, such as Pending, Shipped, Delivered, and Cancelled. To keep the code clean and consistent, they create a TypeScript enum called OrderStatus and use it inside a class named Order. In this tutorial, we will learn how to effectively use TypeScript enums … Read more >>
When I was working on a data analysis project for a US retail company, I needed to transform their sales data from a Python dictionary into a more analyzable format. The issue was, working with nested dictionaries made it difficult to perform the calculations I needed. That’s when I turned to Pandas DataFrames, which made … Read more >>
While I was working on a data analysis project, I needed to calculate the mean of a pandas DataFrame column. When I ran my code, I encountered this frustrating error message: “Function is not implemented for this dtype: [how->mean, dtype->object]”. After several hours of debugging, I found the solution. In this article, I’ll explain why … Read more >>
Suppose you’re building an admin panel for a web app where users can have one of several roles, such as admin, editor, or viewer. You receive the user role from a backend API as a string, and you want to check whether this string is a valid role according to your enum before using it … Read more >>
Recently, I was working on a data analysis project where I needed to add rows to a pandas DataFrame in a loop. This is a common task when processing data incrementally or building a DataFrame row by row. While pandas is optimized for vectorized operations, there are times when you need to add rows one … Read more >>