Profile

Welcome

Please login to continue

Join us to access all features

Course Overview

Python for Linux Admins: Automate & Script Tasks

Python for Linux Admins: Automate & Script Tasks

Automate files, users & processes, run shell commands, use APIs, sockets & build real-world DevOps scripts

4h 55m
4.11
(14 reviews)

Hello Everyone
Welcome to the Python course designed for Linux Admins. This course introduces you to the practical application of Python in system administration workflows.

We begin with setting up Python, understanding its significance in Linux and DevOps, and exploring the essential tools and technologies used throughout the course. You'll learn the basics of Python, including syntax, data types, and essential programming constructs such as loops, conditional statements, and commonly used data structures like lists, tuples, sets, and dictionaries.

The course emphasizes the importance of functions and modules, teaching you how to create reusable code, organize projects, and leverage Python's extensive standard library. We'll also cover file handling and exception management to help you build robust scripts.

As system interaction is a crucial skill, you'll gain hands-on experience working with Python's OS-related modules, enabling you to automate system tasks effectively. The course provides real-world examples, ensuring that every concept is tied to practical applications in Linux and DevOps environments.

By the end of the course, you'll be equipped with the foundational skills required to write efficient Python scripts and automate repetitive tasks, enhancing your productivity as a Linux administrator or DevOps engineer. This comprehensive course ensures you’re ready for real-world challenges.

CloudsArk Academy

CloudsArk Academy

Course InstructorUdemy Expert
42+
Students
4h 55m
Total Hours
4.1/5.0
Rating
English (US)
Language
$0.00$1799.00
Save 100% TodayFree Course

🔥 Free for a limited time

Free Course Available!

Verified Coupon

Offer ends in

30
Days
21
Hrs
41
Min
39
Sec
Coupon:52FF832D2F39E80A2007• Auto-applied
👆Scroll for more