IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Feature Engineering: A Practical Guide with Examples
Feature engineering, measured step by step on 17,379 hours of real bike-rental data: how encoding the hour, adding an hour-by-working-day interaction and two domain features cut a linear model's error from 131 to 73 rentals, why the same features hurt a tree model, and the leakage rules every new feature must pass.
Cohort Analysis Explained with Examples
Cohort analysis explained with a worked example on real online shop transactions: grouping customers by the month they first bought, building a retention table in pandas, reading it along rows, columns and diagonals, and two traps it exposes: a cohort that only looks loyal and a spike that is really the calendar.
Python Decorators Explained with Real Examples
Decorators demystified: what the @ line actually does, why functools.wraps matters, and five decorators worth writing or knowing, from a timer and a configurable retry to functools.cache, a registry that collects plugins, and a permission check, plus the order in which stacked decorators run.
PySpark Interview Questions with Examples
PySpark interview questions test the API details that decide whether a job is correct and fast. Seven are answered on a real two-million-row electricity file that fights back: a placeholder that turns numbers into strings, dates without leading zeros that Spark 3 will not parse, and a UDF that drags rows into Python.