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concat() and concat_ws() in PySpark
In PySpark, both concat() and concat_ws() are used to combine multiple columns into a single string column. ✅ concat() – Combines columns without any delim…
Advanced Pandas: Performance, Time Series, ML Pipelines & Interview Questions (Part 3)
Master advanced Pandas — MultiIndex, time series resampling, rolling windows, memory optimization, Pandas 2.x features, ML pipelines, and 30+ interview Q&A.
Pandas Data Manipulation: The Complete Guide (Part 2 — Indexing, GroupBy, Merge & Reshape)
Master Pandas data manipulation — loc/iloc, boolean filtering, GroupBy, merge/join, pivot tables, melt, string ops, and apply functions with real examples.
sp_executesql in SQL Server
What is sp_executesql ? Every SQL Server developer reaches a point where they need to build a SQL query at runtime — where the table name, column list, or fi...
PySpark Built-in Functions
These functions are commonly used with groupBy() , agg() , or select() to compute things like sum, average, max, min, count, etc. PySpark functions come fr…
The Ultimate Python Basics Guide: From Zero to Confident Developer
Master Python basics from scratch — variables, data types, operators, strings, loops, functions, and more. A complete beginner-to-advanced guide with real-wo...