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.
Featured Guides
Data Science Roadmap 2026: A Complete Step-by-Step Guide
A data science roadmap in dependency order, from Python and SQL through cleaning, statistics and honest model evaluation to communicating results, with an exit test at every stage and one dataset that carries through the whole path.
What Is Generative AI? A Complete Beginner's Guide
What generative AI is, in plain language: how language models produce text one token at a time (shown with a tiny runnable model), how chat models are trained, how image models differ, what the technology is reliable for, and why it confabulates.
Learn Python from Scratch: A Complete 2026 Roadmap
How to learn Python from zero: install a current version (including the new Windows install manager), then work through seven stages, from values and loops to files, virtual environments, classes and tests, each ending with a small program you should be able to write on your own.
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Automate Boring Tasks with Python: 10 Scripts
Ten automation scripts built only on Python's standard library: rename files with a preview, find duplicates by content, merge monthly CSV exports, clear out stale downloads, archive logs, check links, pull email addresses from text, and schedule the lot to run on its own.
AWS IAM Explained: Users, Roles and Policies
AWS IAM decides who can do what in an AWS account. This guide explains users, groups, roles and policies, reads a JSON policy line by line, shows a least-privilege policy allowing one read and refusing other requests, explains why roles and temporary credentials are preferred, and lists the practices AWS recommends.
Datetime in Python: Working with Dates and Times
The datetime rules that prevent real bugs: why naive and aware datetimes cannot be compared, how to attach and convert time zones with zoneinfo, parsing ISO strings and custom formats, formatting for people, and why adding one day is not always 24 hours.
Flask vs FastAPI vs Django: Which to Choose in 2026
Flask, FastAPI and Django compared on what actually differs: what each includes out of the box, how validation, async and data access work, the same small endpoint written in all three, and which one fits a content site, a JSON API, an ML service or an internal tool.
Building REST APIs with Python: A Practical Guide
The design decisions behind a REST API that other programs can depend on: resource URLs, what GET, POST, PUT and DELETE promise, the status codes that matter, validation at the boundary, one error format, and pagination. Shown with a small Flask API exercised through its test client.
Error Handling in Python: try, except and Best Practices
How to handle errors in Python so failures are visible and recoverable: the exact order try, except, else and finally run in, why a broad except hides bugs, designing custom exceptions, chaining with raise from, logging tracebacks, and retrying only what is worth retrying.