Advanced Python Training in San Francisco

Advanced Python Training in San Francisco, USA

This course is aimed at experienced Python developers who want to deepen their understanding of advanced Python features

Enroll Now

Advanced Python Training is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Advanced Python Training course with hands-on, instructor-led sessions. This course is aimed at experienced Python developers who want to deepen their understanding of advanced Python features and enhance their ability to...

Expert Panel

Designed and delivered by the ProgNXT Programming Expert Panel — a vetted team of industry professionals with 14+ years of hands-on experience in Python, Java, C++, and full-stack application development

ProgNXT Programming Expert Panel

Course Code: IRB35
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course is aimed at experienced Python developers who want to deepen their understanding of advanced Python features and enhance their ability to write efficient, scalable, and maintainable Python code. It covers object-oriented programming, design patterns, decorators, generators, concurrency, memory management, testing, and best practices in software engineering.

Welcome to the official Advanced Python Training certification program in San Francisco, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Proficiency in basic Python programming (variables, control flow, functions, basic modules)
Experience working on Python-based projects
Familiarity with data structures and basic object-oriented concepts

By the end of the course, participants will be able to:

Implement object-oriented designs and design patterns in Python
Optimize code using advanced data structures and built-in modules
Utilize decorators, context managers, and generators effectively
Handle concurrency using multithreading, multiprocessing, and asyncio
Develop robust applications using testing frameworks and logging
Improve code readability and maintainability with advanced best practices

Advanced object-oriented programming in Python
Asynchronous and concurrent programming
Code optimization and memory management
Writing reusable and maintainable code
Test-driven development and debugging
Designing scalable Python applications

Advanced class and object design
Decorators, generators, and functional tools
Implementing and applying design patterns
Building and managing concurrent applications
Writing and running unit tests
Performance tuning and profiling

Participants who attend all sessions and successfully complete the assessments will receive a ProgNXT Certificate of Completion

Advanced OOP, Functional Python & Design Patterns

Module 1: Advanced Object-Oriented Programming

Deep Dive into OOP Concepts

Class design, encapsulation, inheritance, and polymorphism
Abstract classes and interfaces (abc module)

Special Methods and Operator Overloading

Implementing __str__, __repr__, __eq__, __lt__, and arithmetic operators
Customizing class behavior with __new__, __init__, and __call__

Hands-on Exercise

Module 2: Functional and Declarative Programming

Decorators and Higher-Order Functions

Writing function decorators and class decorators
Practical use cases: logging, caching, authorization

Closures and Lambdas

Leveraging closures for encapsulated state
Lambda expressions in data transformations

Iterators and Generators

Custom iterator classes
Generator functions and expressions
Lazy evaluation and memory efficiency

Hands-on Exercise

Module 3: Design Patterns and Module Usage

Common Python Design Patterns

Singleton, Factory, Strategy, Observer, and Decorator patterns
When and why to use each pattern

Powerful Standard Libraries

functools: caching, partials, and decorators
collections: defaultdict, Counter, namedtuple, deque
itertools: combinatorics and iteration utilities

Custom Context Managers

Using with statements
Creating custom context managers with __enter__ and __exit__

Hands-on Exercise

File Handling, Concurrency & Performance Optimization

Module 4: File Handling and Data Serialization

File and Directory Handling

Reading/writing files with open(), os, pathlib, and shutil
Directory traversal and file management

Serialization and Persistence

Storing and loading data using pickle, json, and yaml
Safe serialization practices

Hands-on Exercise

Module 5: Concurrency and Parallelism

Multithreading and Multiprocessing

Understanding the Global Interpreter Lock (GIL)
Using threading and multiprocessing modules for performance
Queues and process pools

Asynchronous Programming

Introduction to asyncio and async/await syntax
Running coroutines concurrently

Hands-on Exercise

Module 6: Testing, Debugging, and Performance Tuning

Profiling and Optimization

Using cProfile, timeit, and memory profiling tools
Identifying bottlenecks and optimizing code

Testing and Quality Assurance

Writing unit tests with unittest and pytest
Mocking and test fixtures

Logging and Debugging

Structured logging with logging module
Debugging techniques and IDE tools

Hands-on Capstone Exercise

Course Presentation Slides
Practice Exercises and Projects
Reading List and Suggested Tools

Coding Challenges and Review
Async/Multithreading Code Task

ProgNXT Certification awarded based on participation and task completion.

Advanced Python Training Events in san-francisco

Online Events

Global Region	Location	Start Date	End Date	Action
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌

More Upcoming Session Dates

October 2026

📍 San Francisco, USA

19th Oct 2026→20th Oct 2026

🌐 Online Instructor-Led

21st Oct 2026→22nd Oct 2026

November 2026

📍 San Francisco, USA

3rd Nov 2026→4th Nov 2026

🌐 Online Instructor-Led

10th Nov 2026→11th Nov 2026

📍 San Francisco, USA

24th Nov 2026→25th Nov 2026

🌐 Online Instructor-Led

26th Nov 2026→27th Nov 2026

December 2026

🌐 Online Instructor-Led

7th Dec 2026→8th Dec 2026

📍 San Francisco, USA

12th Dec 2026→13th Dec 2026

📍 San Francisco, USA

25th Dec 2026→26th Dec 2026

🌐 Online Instructor-Led

27th Dec 2026→28th Dec 2026

Events for other courses in San Francisco, USA

Global Region	Course Name	Start Date	End Date	Action
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌

Advanced Python Training in San Francisco