Multiprocessing Courses and Certifications

High Performance Computer Architecture

1 review

The HPCA course covers performance measurement, pipelining, and improved parallelism through various means.

• Udacity
• On-Demand
• Free Online Course

Master Network Automation with Python for Network Engineers

3528 ratings at Udemy

Real-life hands-on Python and Ansible automation: SSH, Paramiko, Netmiko, Napalm, Telnet, Ansible, Cisco, Linux etc

• Udemy
• 23 hours 24 minutes
• On-Demand
• Paid Course

Learn Java Multithreading from Scratch by Ashish Gadpayle

23 ratings at Udemy

Become an expert in Multithreading & Parallel programming in Java, with strong emphasis on high performance

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course

Packt

Concurrent and Parallel Programming in Python

Master concurrent and parallel programming in Python. Explore threading, multiprocessing, and asynchronous techniques to optimize performance and build scalable applications.

• Coursera
• 7 hours 17 minutes
• On-Demand
• Free Online Course (Audit)

Intermediate Python Programming Course

5 reviews

Enhance your Python skills with advanced topics like threading, multiprocessing, context managers, and generators, while revisiting basic concepts with a focus on lesser-known capabilities.

• freeCodeCamp
• 6 hours
• On-Demand
• Free Video

Explore advanced Python 3 concurrency techniques using threading, multiprocessing, and asyncio modules to implement efficient code and create concurrent programs.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Deploying PyTorch Models in Production: PyTorch Playbook

This course covers the important aspects of performing distributed training of PyTorch models, using the multiprocessing, data-parallel, and distributed data-parallel approaches. It also discusses which you can host PyTorch models for prediction.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Lucid Programming

Multiprocessing

Learn Python multiprocessing concepts including locks, logging, pools, and process communication for efficient parallel programming.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

CodeWithHarry

MultiProcessing in Python - Python Tutorial Day 98

Learn to optimize Python programs using multiprocessing, enhancing performance by utilizing multiple CPU cores for parallel execution of tasks.

• YouTube
• 20 minutes
• On-Demand
• Free Video

EuroPython Conference

Speed Up Your Data Processing

Explore parallel and asynchronous programming techniques to optimize data processing pipelines, enhancing efficiency in data science workflows and overcoming common bottlenecks.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Parallel Computing in Python - Current State and Recent Advances

Explore Python's parallel computing landscape, from low-level interfaces to high-level libraries, and learn about recent advances in shared memory management and object serialization.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Downloading a Billion Files in Python

Explore efficient techniques for downloading massive file sets using Python, comparing multithreading, multiprocessing, and asyncio approaches with best practices and performance insights.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Parallelism Shootout - Threads vs Asyncio vs Multiple Processes

Explore threading, multiprocessing, and asyncio for efficient parallel data downloading. Compare mechanics and performance of each approach for handling numerous URLs.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Python Multithreading and Multiprocessing - Concurrency and Parallelism

Explore Python's threading and multiprocessing packages for concurrent and parallel programming. Learn best practices, overcome common issues, and master key concepts for efficient development.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Implementing Parallel Programming Design Patterns Using EFL for Python

Explore parallel programming in Python using EFL, a deterministic tool for multi-core CPUs. Learn design patterns, compare code translations, and discover efficient parallelization techniques.

• YouTube
• 40 minutes
• On-Demand
• Conference Talk