DevOps Tools for Beginners- Starting with Python Scripts

DevOps Tools for Beginners: Starting with Python Scripts, available at $59.99, has an average rating of 4.4, with 154 lectures, 12 quizzes, based on 77 reviews, and has 6360 subscribers.

You will learn about Setup Python Scripting with OS module basics Working with paths Working with files Using shutil And more This course is ideal for individuals who are Starting DevOps or System Administrators or IT engineers or Starting Python Developers It is particularly useful for Starting DevOps or System Administrators or IT engineers or Starting Python Developers.

Enroll now: DevOps Tools for Beginners: Starting with Python Scripts

Summary

Title: DevOps Tools for Beginners: Starting with Python Scripts

Price: $59.99

Average Rating: 4.4

Number of Lectures: 154

Number of Quizzes: 12

Number of Published Lectures: 144

Number of Published Quizzes: 12

Number of Curriculum Items: 166

Number of Published Curriculum Objects: 156

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will Learn

Setup Python

Scripting with OS module basics

Working with paths

Working with files

Using shutil

And more

Who Should Attend

Starting DevOps

System Administrators

IT engineers

Starting Python Developers

Target Audiences

Starting DevOps

System Administrators

IT engineers

Starting Python Developers

This course is A Beginner’s Guide to DevOps Tools, such as Python. The purpose of this course is to prepare you to use these tools from scratch. This course is aimed for IT Pros, Developers, Operators,  DevOps, System administrators and Everyoneand is supposed to give the viewer the information they need to know to get started with theses toolsand its their concepts.

The course is targeted to help learning and getting started with Python and do your job more efficiently and to automate your tasks. 

After completing this course, you will be able to:

Setup Python

Scripting with OS module basics

Working with paths

Working with files

Using shutil

Writing basic scripts in Python

And more

Course Curriculum

Chapter 1: Lesson 1: Getting Started with Python

Lecture 1: Setting Up Your Python Environment

Lecture 2: Demo: Setting Up Your Python Environment – Part 1

Lecture 3: Demo: Setting Up Your Python Environment – Part 2

Lecture 4: Creating Your First Project

Lecture 5: Demo: Creating Your First Project

Lecture 6: Introduction to version control with Git and GitHub

Lecture 7: Demo: Using Git with Python Projects

Lecture 8: Cloning and Running a Git Repository in IDEs

Lecture 9: Working with GitHub: Importing Repositories and Using GitHub Codespaces

Lecture 10: Lesson 1 Exercise: Setting Up Your Python Development Environment

Lecture 11: Printing with Python: Your First Step into Coding

Lecture 12: Print Techniques in Python

Lecture 13: Python Print Exercise and Solution

Lecture 14: Python Fundamentals: Common Print Statement Errors

Lecture 15: Debugging Practice Exercise : Identifying and Fixing Python Syntax Errors

Lecture 16: Mastering Multi-line Printing in Python: Basic Techniques

Lecture 17: Multi-line Printing Exercise and Solution: Practical Exercises in Python

Lecture 18: Using Comments in Python

Lecture 19: Demo: Using Comments in Python

Chapter 2: Lesson 2: Basic Data Types

Lecture 1: Python Data Types

Lecture 2: Demo: Python Data Types

Lecture 3: Hands-on Data Types Identification: Exercise and Solution

Lecture 4: Hands-on Variable Assignment Manipulation: Exercise and Solution

Lecture 5: Adding Variables

Lecture 6: Adding Variables. Part 2

Lecture 7: Python Variable Naming Rules and Best Pactices

Lecture 8: String Manipulation in Python

Lecture 9: Demo: String Manipulation in Python

Lecture 10: String Manipulation – Example

Lecture 11: Hands-on Simple Calculations String Manipulation: Exercise and Solution

Lecture 12: Hands-on Type Conversion Operations: Exercise and Solution

Lecture 13: Understanding Int and Other Variable Types

Lecture 14: Working with User Input. Type Converting

Lecture 15: Type Converting cont.

Lecture 16: Python Coding Best Practices

Lecture 17: Python Coding Best Practices: PEP 8

Lecture 18: Hands-On Challenge: Building a Celsius to Fahrenheit Converter

Chapter 3: Lesson 3: Operations with Basic Data Types

Lecture 1: Python Integer Arithmetic

Lecture 2: Hands-On Challenge: Shopping Calculator Program

Lecture 3: Hands-On Challenge: Build Your Personal Savings Calculator Program

Lecture 4: Hands-On Challenge: Dining Out with Python. Build Your Smart Bill Splitter

Lecture 5: From Integers to Floats and Back Again

Lecture 6: Hands-On Challenge: From Floor Division to Negative Numbers

Lecture 7: Hands-On Challenge: Time Management with Python – Days-to-Weeks Conversion App

Lecture 8: Hands-On Challenge: Build a Road Trip Budget Calculator

Chapter 4: Lesson 4: Special Operations with Basic Data Types

Lecture 1: Modulo Operator: Powerful Remainder Calculations in Python

Lecture 2: Mastering Exponentiation and Modulo Operators in Python

Lecture 3: Hands-On Challenge: Calculating Cube Volumes and Surface Areas

Lecture 4: Hands-On Modular Arithmetic: Movie Theater Seating and Secret Message Decoding

Lecture 5: Operations Processing order in Python: PEMDAS

Lecture 6: Hands-On Python Workshop: Startup Financial Modeling

Lecture 7: Hands-On Python Workshop Solution: Startup Financial Modeling

Chapter 5: Lesson 5: Even More on PEP8

Lecture 1: Mastering PEP-8: Writing Clean and Readable Python Code

Lecture 2: Hands-On PEP 8: Exercises for Python Code Style

Lecture 3: Hands-On PEP 8: Exercises for Python Code Style. Part 2

Chapter 6: Lesson 6: Taking Users Input

Lecture 1: Submitting an input in Python

Lecture 2: Hands-On Exercises with Users Input: Tasks and Solutions. Part 1

Lecture 3: Hands-On Exercises with Users Input: Tasks and Solutions. Part 2

Lecture 4: Hands-On Exercises with Users Input: Tasks and Solutions. Part 3

Lecture 5: Hands-On Exercises with Users Input: Tasks and Solutions. Part 4

Chapter 7: Working with Lists, Dictionaries, Tuples, Loops, and Numeric Data Types

Lecture 1: Working with Lists

Lecture 2: Demo: Working with Lists

Lecture 3: Demo: Working with Lists cont.

Lecture 4: Working with Lists – Example

Lecture 5: Working with Lists – Example. Part 2

Lecture 6: Working with Dictionaries

Lecture 7: Demo: Working with Tuples

Lecture 8: Demo: Working with Files

Lecture 9: Using Numeric Data Types

Lecture 10: Demo: Using Numeric Data Types. Part 1

Lecture 11: Demo: Using Numeric Data Types. Part 2

Lecture 12: Demo: Using Numeric Data Types. Example

Lecture 13: Logical Operators

Lecture 14: ELIF Statement

Lecture 15: ESLE Statement

Lecture 16: Strings

Lecture 17: Type() Function

Lecture 18: Addition: Numbers and Strings

Lecture 19: Addition: Variables

Lecture 20: Errors are Your Friend. Handling Errors.

Lecture 21: User Input and Input Prompts

Lecture 22: Comma separated string printing and printing numbers with strings using comma

Instructors

Vitalii Shumylo
IT Transformation: Empowering Tech Experts

Rating Distribution

1 stars: 4 votes

2 stars: 4 votes

3 stars: 11 votes

4 stars: 13 votes

5 stars: 45 votes

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