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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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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Python Type Hints: Writing Cleaner, Safer Code
What Python type hints do and do not do, shown on a small module with three hidden bugs that mypy finds before the code runs: annotating functions and variables, None and union types, generic collections, dataclasses, narrowing, and how to add hints gradually to an existing codebase.
Reading and Writing CSV Files in Python
CSV looks simple until a field contains a comma, a line break or a hidden byte-order mark. Reading and writing real-world CSV with Python's csv module: why splitting on commas fails, DictReader and DictWriter, utf-8-sig, semicolon files, types, large files, and when pandas is better.
Regular Expressions in Python: A Practical Guide
Regular expressions in Python for everyday jobs: extracting IDs from text, validating formats, cleaning and rewriting strings. Raw strings, search, match and fullmatch, named groups, greedy versus lazy, re.sub with a function, verbose patterns, and the pitfalls that make patterns slow or wrong.
SQLAlchemy Tutorial: Databases in Python
A hands-on SQLAlchemy 2.0 tutorial on an in-memory SQLite database: defining typed models, adding and committing rows with a Session, writing select() queries, joining and aggregating, loading relationships without the N+1 query problem, and handling transactions and schema migrations.
Building a Metadata Framework for ADF Pipelines
A control table and a ForEach copy many tables. A framework is what makes that safe to operate: configuration you can validate, a log of every load, stages that run in order, and reruns that resume instead of repeating. This guide designs each part for Azure Data Factory, with the restart logic shown working.
Loading Data into Synapse with ADF
Loading a Synapse SQL pool row by row is slow by design. This guide explains the three load methods the Azure Data Factory Copy activity offers, the COPY statement, PolyBase and bulk insert, when a load is direct and when it needs staging, the settings for each, upserts, and the documented limits.