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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Pandas Guide: DataFrames, Cleaning and Aggregation
One messy sales export, cleaned and summarised step by step with pandas: reading it with the right types, the values pandas silently turns into missing data, fixing text and number columns, removing duplicates, named aggregations with groupby, pivot tables that can hide gaps, and merges that check themselves.
Object-Oriented Programming (OOP) in Python Explained
Object-oriented Python learned by building one small system, a shopping cart with discount rules: classes and instances, the shared-list bug, properties that protect invariants, special methods, abstract base classes, composition over inheritance, and dataclasses for plain data.
From Python Beginner to Job-Ready: A 6-Month Plan
A six-month Python plan only works if you can tell, each month, whether you are on track. This plan gives a weekly focus for each month and one checkpoint exercise you should be able to write from scratch by its end. All six are solved here on real data, from the Zen of Python to two years of bike rentals.
Python *args and **kwargs Explained Clearly
What *args and **kwargs really are: a tuple and a dictionary that collect extra arguments, and the same symbols unpacking values when you call a function. With the full parameter order, positional-only and keyword-only markers, forwarding arguments through wrappers, and the silent typo that **kwargs can swallow.
Python Mini Projects to Build in a Weekend
Weekend projects fail when they are too big to finish by Sunday night. The fix is scoping: a core you can build on Saturday and improvements for Sunday. Three mini projects are scoped that way here, a weather and bike-rental explorer, a safe file organiser and a habit tracker, with each Saturday core built and run.
Python Coding Interview Questions and Patterns
Most Python coding interview questions are one of a handful of patterns in disguise. Seven of them, hash map, sliding window, two pointers, heap, monotonic stack, binary search and interval merging, are solved here on two years of real bike-share data with the standard library, and checked against brute force.