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 User's Input
Lecture 1: Submitting an input in Python
Lecture 2: Hands-On Exercises with User's Input: Tasks and Solutions. Part 1
Lecture 3: Hands-On Exercises with User's Input: Tasks and Solutions. Part 2
Lecture 4: Hands-On Exercises with User's Input: Tasks and Solutions. Part 3
Lecture 5: Hands-On Exercises with User's 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
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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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