Testing and interacting with free & open operating systems using Python3
β±οΈ Length: 4.4 total hours
β 3.96/5 rating
π₯ 14,851 students
π April 2020 update
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- Course Overview
- This course masterfully bridges Python programming with critical Linux system operations, designed for developers and IT professionals aiming to leverage automation for robust infrastructure management.
- Gain a foundational understanding of how scriptable infrastructure underpins efficient software delivery, integrating strategic command execution into automated Python workflows.
- Explore the core philosophy of “DevOps,” actively connecting development practices with operational necessities to enhance deployment, monitoring, and system maintenance.
- Develop a strategic blueprint for system interactions, moving beyond basic scripting to construct resilient, automated solutions vital for modern cloud and containerized environments.
- Understand how Python serves as the ideal language to harness the unparalleled control and customizability offered by open-source operating systems like Linux for scalable operations.
- Requirements / Prerequisites
- A solid grasp of Python 3 fundamentals, including basic syntax and programming constructs, is essential to effectively engage with the course’s automation modules.
- Familiarity with operating system concepts and basic command-line navigation (e.g., file system management) is highly beneficial, aiding in a smoother learning experience.
- A keen interest in system-level interactions and infrastructure automation is key, fostering a problem-solving mindset crucial for bridging development and operations.
- Access to a computing environment capable of running Linux (native, virtual machine, WSL, or macOS terminal) is recommended for hands-on, practical exercises.
- No deep prior expertise in Linux system administration or complex networking is assumed, making the course accessible to Python developers expanding into operations.
- Skills Covered / Tools Used
- Infrastructure Scripting Acumen: Develop robust Python scripts to interact directly with core OS functionalities, automating deployment, monitoring, and system configuration.
- Cross-Platform Operational Awareness: Understand POSIX-compliant tools across Linux, macOS, and Windows (WSL), enabling design of portable automation solutions.
- System State Management: Learn to programmatically query and modify system states, including service management, resource monitoring, process handling, and file operations via Python.
- DevOps Workflow Integration: Gain practical insights into integrating Python and command-line tools into CI/CD pipelines, configuration management, and monitoring platforms.
- Advanced Shell Interaction: Master secure execution of external programs and shell commands from Python, capturing output, handling errors, and passing arguments.
- Leveraging Open-Source Utilities: Harness a wide array of powerful, commonly used command-line utilities critical for effective system administration and modern development automation.
- Benefits / Outcomes
- Enhanced Career Versatility: Become a more valuable asset by bridging development and operations, ideal for DevOps engineer, SRE, or automation specialist roles.
- Accelerated Project Delivery: Significantly speed up development and deployment cycles through efficient, Python-driven automation of manual and error-prone tasks.
- Robust System Management: Develop capability to proactively manage complex environments, creating custom Python tools for monitoring, logging, and incident response.
- Increased Operational Efficiency: Transform infrastructure management by scripting repetitive tasks, orchestrating deployments, and standardizing configurations, reducing errors.
- Deeper Understanding of Modern Infrastructure: Gain critical insight into software-OS interaction, empowering design of more performant, scalable, and maintainable applications.
- Confidence in Open-Source Ecosystems: Build confidence in navigating and leveraging open-source operating system environments for innovative and flexible solutions.
- PROS
- Highly Practical and Actionable: Focuses on immediate skill application, enabling quick implementation of automation in real-world scenarios.
- Excellent Introduction to DevOps Concepts: Provides a clear pathway for developers to understand and apply DevOps principles through hands-on Python automation.
- Cross-Platform Relevance: Emphasis on POSIX-inspired commands ensures learned skills are highly transferable across diverse operating systems.
- Foundation for Advanced Automation: Lays solid groundwork for tackling complex automation challenges, cloud orchestration, and advanced CI/CD development.
- Boosts Developer Productivity: Equips developers to self-manage operational tasks, reducing dependencies and accelerating personal and team output.
- CONS
- Concise Time Investment: The 4.4-hour duration, while efficient, may necessitate further self-driven exploration and practice to deeply master advanced operational nuances.
Learning Tracks: English,IT & Software,Operating Systems & Servers
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