Core ProgrammingBeginner Level•40 Hours•4.9 Rating•4,210 Students Enrolled

Python Programming & High-Performance Automation

Build idiomatic, high-throughput Python applications with modern typing, asyncio concurrency, C extensions, and automated testing.

18 In-Browser CodeLab Exercises6 Cloud Virtual LabsVerifiable Completion Credential

Course Overview

From object-oriented architecture and memory profiling to asynchronous event loops and high-performance automation scripting, this course equips you with the modern Python engineering skills demanded by top engineering teams.

What You Will Learn

Architect production Python modules using modern static typing and protocols
Implement concurrent task orchestration with asyncio and multiprocessing
Profile memory and CPU bottlenecks with cProfile and tracemalloc
Build robust test suites with pytest, hypothesis, and CI/CD integration

Curriculum & Modules

3 Modules • 9 Total Lessons
1.1 Python Object Model & Memory References
video35 mins
1.2 Advanced Decorators & Context Managers
interactive50 mins
1.3 Custom Sequence & Mapping Implementations
lab55 mins

Practical Learning & Cloud Sandboxes

Hands-on CodeLab exercises covering async networking, memory profiling, and automated pytest execution.

In-Browser CodeLab

18 automated exercises evaluated against real compilers and standard test matrices in seconds.

Cloud Virtual Labs

6 complete Linux containers launching isolated Docker runtimes, networking, and memory profiling.

Capstone Projects & Deliverables

Project Deliverable 1

High-Concurrency Event Stream Processor

Design an asynchronous stream ingestion pipeline processing thousands of events per second with backpressure handling.

Required Deliverables:
  • AsyncIO event engine
  • Pytest integration suite
  • Memory benchmark report

Assessments & Grading

Automated test suite scoring your functions for time complexity, edge cases, and type safety.

6 Knowledge Check Quizzes12 Automated Unit Test Suites

Prerequisites & Requirements

  • Basic computer literacy and interest in programming; no prior Python experience required
Hardware requirements: Only a modern web browser with Internet access. All code execution runs in the cloud.

Instructor Profile

MV

Marcus Vance

Staff Python Engineer & Open-Source Contributor • Python Software Foundation Fellow

Author of high-scale asynchronous Python microservices and core contributor to popular data pipelines.

Course FAQs

Yes! The course begins with foundational syntax and builds steadily toward production-grade concurrency and profiling.
Enrollment Options
$129
Includes verified certificate & cloud compute
Sign In to EnrollRequest Campus Pilot Access
This course includes:
  • 40 Hours on-demand video & reading
  • 18 in-browser CodeLab exercises
  • 6 full Linux cloud virtual labs
  • 12 automated unit test suites
  • Cryptographic completion diploma
For Colleges & Universities

Included in Campus & Department Licenses

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