Technologies / Programming

Parallel Programming in Python - Performance Optimization

Specialized training on parallel programming techniques in Python. Participants learn performance optimization methods through the use of multithreading, multiprocessing and asynchronous processing. The program includes practical workshops, during which participants implement solutions that increase application performance in real scenarios.

Issues

Parallel programming
Multithreading
Multiprocessing
Asynchronous programming
Performance optimization
Code profiling
Process synchronization
Memory management
Debugging
System monitoring

Benefits

To effectively use parallel programming techniques
They will gain the ability to optimize Python application performance
They will be able to design efficient distributed systems
They will learn multithreaded application debugging techniques
They will develop skills in profiling and monitoring
They will be able to choose appropriate parallel processing methods

Who is this training for?

Python developers

Performance engineers

System architects

DevOps specialists

High-performance application developers

Distributed systems developers

Prerequisites

Advanced Python knowledge
Basics of system architecture
Programming experience
Knowledge of performance issues

Training program

GIL and its implications
Performance measurement
Identifying bottlenecks
Multithreading and multiprocessing
Threading and multiprocessing

Process synchronization

Asynchronous programming

Coroutines and tasks

I/O integration
Optimization and monitoring

Memory optimization
Parallel debugging
Performance monitoring

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

Who is the Parallel Programming in Python - Performance Optimization training for?

This training is designed for professionals looking to develop skills in parallel programming in python - performance optimization. Required level: intermediate.

How long is the Parallel Programming in Python - Performance Optimization training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.