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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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.
Best Programming Languages for Data Science in 2026
Which programming languages data science work actually uses and why: SQL and Python as the core pair, R for statistics, Scala and Java around Spark, Julia for numerical work, and JavaScript for interactive charts, with the same analysis written in SQL and Python and a learning order by role.
Async Programming in Python: asyncio Explained
What asyncio actually does, shown with runnable timings: why three one-second waits finish in one second, how tasks, gather and TaskGroup differ, how to add timeouts and a concurrency limit, and the single blocking call that silently makes async code sequential again.