Udemy - Python for Linux and DevOps Engineers

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[ DevCourseWeb.com ] Udemy - Python for Linux and DevOps Engineers
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Course Overview
    • 1 -Introduction to the Course.mp4 (6.3 MB)
    • 2 -Objectives and learning outcomes.mp4 (6.0 MB)
    • 3 -Importance of Python in Linux and DevOps.mp4 (9.1 MB)
    • 4 -Overview of tools and technologies to be used.mp4 (11.8 MB)
    2 - Section 1 Getting Started with Python
    • 1 -Basic syntax and semantics.mp4 (17.7 MB)
    • 2 -Code Structure.mp4 (13.3 MB)
    • 3 -Variables, data types, and type casting.mp4 (18.3 MB)
    • 4 -Operators and expressions.mp4 (8.5 MB)
    • 5 -Lab Basics.mp4 (8.9 MB)
    3 - Section 2 Control Flow and Data Structures
    • 1 -Conditional statements (if, elif, else).mp4 (23.2 MB)
    • 10 -Working with Collections and Iterables.mp4 (9.3 MB)
    • 11 -Lab Working with Collections and Iterables.mp4 (10.1 MB)
    • 2 -Looping Constructs (for, while).mp4 (16.1 MB)
    • 3 -Lab Looping Constructs (for, while).mp4 (14.9 MB)
    • 4 -Loop Control Statements (break, continue, pass).mp4 (10.0 MB)
    • 5 -Lab Loop Control Statements (break, continue, pass).mp4 (13.3 MB)
    • 6 -Lists, Tuples, Sets, and Dictionaries.mp4 (12.1 MB)
    • 7 -Lab Lists, Tuples, Sets, and Dictionaries.mp4 (39.5 MB)
    • 8 -List Comprehensions and Generator Expressions.mp4 (8.9 MB)
    • 9 -Lab List Comprehensions and Generator Expressions.mp4 (14.5 MB)
    4 - Section 3 Functions and Modules
    • 1 -Introduction to Functions in Python.mp4 (10.3 MB)
    • 10 -Lab Creating a Custom Module for File Operations.mp4 (15.3 MB)
    • 11 -Understanding Scope and Namespaces.mp4 (15.0 MB)
    • 12 -Lab Experimenting with global and nonlocal in Nested Functions.mp4 (19.0 MB)
    • 2 -Lab Converting Celsius to Fahrenheit.mp4 (8.5 MB)
    • 3 -Default Arguments and Variable Length Arguments.mp4 (15.0 MB)
    • 4 -Lab Create a Function to Accept Variable Arguments & Calculate Their Average.mp4 (10.4 MB)
    • 5 -Introduction to Lambda Functions.mp4 (11.4 MB)
    • 6 -Lab Use Lambda Functions to Filter out Odd Numbers From a List of Integers.mp4 (3.8 MB)
    • 7 -Importing built-in Modules.mp4 (11.7 MB)
    • 8 -Lab Using the time Module to Measure Function Execution Time.mp4 (8.5 MB)
    • 9 -Creating Custom Modules and Packages.mp4 (13.1 MB)
    5 - File Handling and Exception Management
    • 1 -Reading from and Writing to files.mp4 (11.0 MB)
    • 2 -Lab Python File Operations.mp4 (29.0 MB)
    • 3 -Working with Directories Using os and shutil Modules.mp4 (12.4 MB)
    • 4 -Lab Python Directory Management.mp4 (26.6 MB)
    • 5 -Parsing Configuration Files (INI, JSON and YAML).mp4 (12.9 MB)
    • 6 -Lab Parsing Configuration Files.mp4 (47.8 MB)
    • 7 -Exception Handling in Python.mp4 (10.9 MB)
    • 8 -Lab Exception Handling in Python.mp4 (28.2 MB)
    6 - Working with the Operating System
    • 1 -Environment Variables.mp4 (11.4 MB)
    • 2 -Lab Environment Variables.mp4 (22.4 MB)
    • 3 -File and Directory Operations.mp4 (12.4 MB)
    • 4 -Lab File and Directory Operations.mp4 (20.6 MB)
    • 5 -System Specific Parameters and Functions.mp4 (10.0 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Python for Linux and DevOps Engineers

https://DevCourseWeb.com

Published 11/2024
Created by CloudsArk IT Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 45 Lectures ( 3h 43m ) | Size: 670 MB

A comprehensive course to empower Linux and DevOps engineers with Python for automation and orchestration

What you'll learn
Configure Python environments on Linux systems, using editors like VSCode or Vim, and manage virtual environments effectively
Write Python scripts using fundamental syntax, data types, control structures, and data structures like lists and dictionaries
Automate system tasks with Python, including file handling, text processing with regular expressions, and OS interactions
Apply Python in DevOps workflows to automate Git operations, manage CI/CD pipelines, and interact with tools like Ansible, Docker, and Kubernetes

Requirements
Basic Knowledge of Linux: Familiarity with Linux operating systems and command-line interface
Understanding of DevOps Concepts: Basic awareness of DevOps practices and tools
Prior Programming Experience (Beneficial but Not Required): Some experience with programming concepts can be helpful
Access to a Linux System: A computer running a Linux distribution to install Python and other tools
Text Editor or IDE: Tools like VSCode or Vim installed for writing and editing code
Internet Connection: For downloading software, accessing online resources, and working with cloud services



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Udemy - Python for Linux and DevOps Engineers
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