IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics β written by GloryTecks trainers in Hyderabad.
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Unit Testing in Python with pytest: A Beginner's Guide
A beginner's guide to pytest built on a small real module: writing tests as plain functions with assert, reading pytest's failure reports, parametrising edge cases, testing that errors are raised, and using fixtures, tmp_path and monkeypatch so tests never touch real files or settings.
Python File Handling: Reading and Writing Files
Everything you need to read and write files reliably in Python: what each open() mode does, why you should always pass an encoding, reading big files line by line, pathlib for paths and folders, writing without destroying the old file if something fails, and handling the errors files actually raise.
Python Salary in India 2026: Roles, Experience and What Python Is Worth
Python is the most recommended first language in India, but does knowing it pay? Real 2025 survey data for India says yes, with conditions: Python users earned more than same-experience peers, the gap was largest early in a career, and the role you use Python in matters more than the language itself.
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.
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 *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.