• Post category:StudyBullet-22
  • Reading time:2 mins read


Testing and interacting with free & open operating systems using Python3
⏱️ Length: 4.4 total hours
⭐ 3.96/5 rating
πŸ‘₯ 13,664 students
πŸ”„ April 2020 update

Add-On Information:


Get Instant Notification of New Courses on our Telegram channel.

Noteβž› Make sure your π”ππžπ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the π”ππžπ¦π² cart before Enrolling!


  • Integrate Python with core OS capabilities, building robust development and deployment workflows by understanding the full software lifecycle.
  • Elevate your developer profile, becoming a system-aware automation engineer ready for complex infrastructure challenges.
  • Unlock unparalleled productivity, constructing intelligent automation scripts for configurations, deployments, and routine maintenance with minimal oversight.
  • Gain foundational proficiency in system-level diagnostics, enabling effective interpretation of system behavior and resolution of operational bottlenecks.
  • Bridge programming and infrastructure management, designing and maintaining resilient software ecosystems from code to deployment across diverse environments.
  • Cultivate indispensable DevOps skills, creating repeatable, reliable, and scalable processes essential for continuous integration and delivery pipelines.
  • Harness the power of open-source operating systems, leveraging their flexibility to craft bespoke automation solutions tailored to specific project requirements.
  • Develop sophisticated command-line fluency, manipulating data, managing processes, and controlling system resources with precision and efficiency.
  • Future-proof your technical abilities by grasping fundamental principles of system orchestration and automation, critical for cloud and containerization.
  • Transform Python scripts into system architects, dynamically configuring environments, deploying applications, and monitoring health across heterogeneous OS landscapes.
  • Empower self-healing and self-managing systems, designing automation routines that proactively maintain integrity without constant manual intervention.
  • PROS:
  • Practical, hands-on approach directly applicable to real-world DevOps scenarios.
  • Enhances marketability by blending core programming with crucial operational expertise.
  • Provides robust understanding of fundamental OS interactions, fostering deeper technical insight.
  • Leverages Python’s versatility for powerful, accessible system scripting and automation.
  • CONS:
  • Some specific utility knowledge may require occasional self-study due to the rapid evolution of DevOps tools.
Learning Tracks: English,IT & Software,Operating Systems & Servers
Found It Free? Share It Fast!