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SSathwiksathwikk.hashnode.dev

Building a Partner Integration Onboarding Simulator - A PSE Inspired Full Stack Project

3d ago · 10 min read · Why I Built This When I started researching the Product Solutions Engineer (PSE) role at Google, one thing stood out immediately - this isn't a pure coding role. It sits at the intersection of technic

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AMArchit Mittalautomate-archit.hashnode.dev

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I Automated My Client's Daily Excel MIS Reports with 60 Lines of Python — Here's the Full Code

Apr 22 · 6 min read · The Problem: Every Morning at 8 AM, Someone Was Copy-Pasting for 3 Hours Last month, a Gurugram-based D2C skincare brand hired me for what they called "a small Python thing." Their operations manager

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NCNiccolò Colombiniquicknicco.hashnode.dev

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Shopify Automation: How I Managed an 80,000-Product Catalog with Python & Pandas

Apr 1 · 4 min read · Manually managing an e-commerce catalog with 80,000 products, 11 different suppliers, and 5 languages is not just inefficient — it's a direct risk to your business margins. Each supplier sends price l

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WGWorkout Guruit-company-in-bhilai-vs-metro-cities.hashnode.dev

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I Rewrote 200 Lines of Pandas Code Into 20. Here Is How.

Mar 31 · 6 min read · Six months ago I inherited a data processing script from a colleague who had left the company. The script worked. It produced the right output. But reading it was painful. Two hundred lines of interme

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AFAira Francodataengineeringlearning.hashnode.dev

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Engineering a Robust ETL Pipeline for Messy Product Data

Mar 30 · 3 min read · I built an ETL pipeline that takes messy product data from a CSV file, cleans and validates it, and loads both trusted and rejected records into PostgreSQL. https://github.com/Akina-Aoki/data_ops_work

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Ccircobitgauchogrid.hashnode.dev

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Data Cleaning in the Browser: Turning Web Tables into Analysis-Ready Data

Mar 6 · 8 min read · You've found the perfect data table on a website. You export it. You open it in Excel or load it into Pandas. And then the problems start. Numbers are strings: "1,234,567" instead of 1234567 Decimals are inconsistent: some use ., others use , Date...

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PPranav_Guptajipranavgupta-blog.hashnode.dev

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Python Basics: Data Types, Basic & Advanced Data Structures, and Collections

Feb 28 · 7 min read · Introduction Python provides a rich ecosystem for handling data — from simple numbers to complex datasets used in data science and AI. Understanding data types, basic and advanced data structures, and

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PPranav_Guptajiemployeeperformance.hashnode.dev

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Exploratory Data Analysis on Employee Performance Dataset

Feb 24 · 4 min read · Introduction Understanding what drives employee performance is essential for any organization aiming to improve productivity, retention, and workplace satisfaction. In this project, I performed Explor

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PKParth krishan Goswamiparthkg.hashnode.dev

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Pandas: A Deep Dive

Feb 21 · 4 min read · 1. Pandas Series A Series is a one-dimensional array holding data of any type. It’s essentially a single column. Creating Labels By default, if I make a list, Pandas labels it 0, 1, 2... just like a n

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FFFirman Fakhridatasquad.hashnode.dev

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Struggling with Large CSV Files? Here's Why DuckDB Changed My Workflow

Feb 3 · 17 min read · So last Monday, my PM mentioned me at Whatsapp group around 9 AM and ask for some analysis sounds familiar, right? Then He drops around 120MB excel file. one hundred twenty megabytes. I should've known better. I tried opening it in Excel. That spinni...

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Trending tags this week

Building a Partner Integration Onboarding Simulator - A PSE Inspired Full Stack Project

I Automated My Client's Daily Excel MIS Reports with 60 Lines of Python — Here's the Full Code

Shopify Automation: How I Managed an 80,000-Product Catalog with Python & Pandas

I Rewrote 200 Lines of Pandas Code Into 20. Here Is How.

Engineering a Robust ETL Pipeline for Messy Product Data

Data Cleaning in the Browser: Turning Web Tables into Analysis-Ready Data

Python Basics: Data Types, Basic & Advanced Data Structures, and Collections

Exploratory Data Analysis on Employee Performance Dataset

Pandas: A Deep Dive

Struggling with Large CSV Files? Here's Why DuckDB Changed My Workflow