Advanced Python Course in Hyderabad
Go beyond the basics with advanced Python features, design, concurrency and testing
The Advanced Python course takes you from working Python knowledge to professional-level skill. You revisit the language model, then study advanced functions, closures, decorators, iterators, generators, context managers, descriptors and metaclasses at an overview level, and object-oriented design with dataclasses, abstract base classes, protocols, composition and design patterns. You learn type hints and static checking with mypy, concurrency with threading, multiprocessing and asyncio, the global interpreter lock and recent changes to it, memory management, profiling and performance optimisation, working with files, JSON, regular expressions and databases, packaging and dependency management with modern tools, testing with pytest, logging, configuration and error handling, and building command-line tools. The course also introduces web requests, REST clients and a small FastAPI service. It suits graduates and developers who know basic Python and want to write production-quality code, and it is a good step before Python Full Stack, data engineering or AI courses. Classes run in Ameerpet, Hyderabad, and in live online batches.
Syllabus
Python Language Model Recap
- •Everything is an object: names, references and mutability
- •Scope, closures and the LEGB rule
- •Special methods and the Python data model
- •Lab: Debug identity and mutability puzzles
- •Outcome: Understand how Python really works
Functions, Closures & Decorators
- •Arguments, *args, **kwargs, keyword-only and positional-only parameters
- •Closures, decorators with and without arguments, functools.wraps
- •functools: lru_cache, partial and singledispatch
- •Lab: Write timing, retry and caching decorators
- •Outcome: Write reusable function wrappers
Iterators, Generators & Comprehensions
- •The iterator and iterable protocols
- •Generators, generator expressions and yield from
- •itertools and memory-efficient pipelines
- •Lab: Process a large file lazily with generators
- •Outcome: Process large data with low memory
Context Managers & Resource Handling
- •Context manager protocol and contextlib
- •Managing files, connections and locks safely
- •Exceptions: custom exception hierarchies and exception chaining
- •Lab: Build a database connection context manager
- •Outcome: Handle resources and errors cleanly
Advanced Object-Oriented Design
- •Dataclasses, properties and slots
- •Abstract base classes, protocols and multiple inheritance
- •Composition over inheritance; common design patterns
- •Lab: Redesign a messy script into a clean class design
- •Outcome: Design maintainable object models
Type Hints & Static Analysis
- •Type hints, generics, unions and Protocols
- •TypedDict, Literal and runtime validation with Pydantic
- •Static checking with mypy or pyright; linting and formatting with Ruff
- •Lab: Add types and static checks to an existing project
- •Outcome: Catch bugs before running code
Concurrency: Threads, Processes & asyncio
- •The global interpreter lock and recent free-threading developments at an overview level
- •Threading, multiprocessing and concurrent.futures
- •asyncio: tasks, event loop, gather, timeouts and async context managers
- •Lab: Speed up an I/O-bound and a CPU-bound job with the right model
- •Outcome: Choose and apply the right concurrency approach
Performance, Memory & Profiling
- •Profiling with cProfile and timeit; memory profilers
- •Algorithmic complexity and data structure choice
- •Vectorisation with NumPy; caching strategies
- •Lab: Profile and speed up a slow program by at least a measured factor
- •Outcome: Optimise based on measurements
Files, Data Formats & Regular Expressions
- •pathlib, CSV, JSON and YAML handling
- •Regular expressions: groups, lookarounds and performance
- •SQLite and the DB-API; serialisation pitfalls such as pickle
- •Lab: Build a log parser with regular expressions
- •Outcome: Process real-world data files robustly
Packaging, Environments & Project Structure
- •Project structure, modules and packages
- •pyproject.toml, dependency management and reproducible environments
- •Building and publishing a package; versioning
- •Lab: Package a utility library and install it elsewhere
- •Outcome: Share and install Python code properly
Testing, Logging & Configuration
- •pytest fixtures, parametrisation and mocking
- •Test-driven development basics and coverage
- •Structured logging and configuration with environment variables
- •Lab: Add tests and logging to the library
- •Outcome: Build reliable, observable software
Building CLIs, APIs & Capstone
- •Command-line tools with argparse or Typer
- •Calling REST APIs with requests and httpx; a small FastAPI service
- •Capstone: typed, tested, packaged application with a CLI and an API
- •Code review and interview preparation
- •Outcome: A portfolio project showing professional Python skills
Tools Covered
Projects Included
- Decorator Toolkit: Build timing, retry and caching decorators with tests; deliverable is a package with documentation.
- Large File Processor: Process a multi-gigabyte log lazily with generators and regular expressions; deliverable is a tool and memory profile.
- Concurrent Downloader: Build I/O-bound and CPU-bound versions using asyncio and multiprocessing; deliverable is a benchmark report.
- Typed Data Pipeline Library: Create a typed, tested library with mypy checks and CI; deliverable is a published package repository.
- Capstone CLI and API Tool: Build a packaged command-line tool with a FastAPI interface, tests and logging; deliverable is a GitHub repository and README.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Advanced Python course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Advanced Python.
Certificate of Completion
Advanced Python
This certifies that
[Your Name]
has successfully completed the
Advanced Python
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Advanced Python course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best Advanced Python Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Python Developer, Back-End Developer (Python), Automation Engineer, Software Engineer (Python); support is guidance with the job search, not a guarantee of a job.