Currently Empty: £0.00
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 Everyone and is supposed to give the viewer the information they need to know to get started with theses tools and 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…
Lesson 2: Basic Data Types
-
1Setting Up Your Python Environment
-
2Demo: Setting Up Your Python Environment - Part 1
-
3Demo: Setting Up Your Python Environment - Part 2
-
4Creating Your First Project
-
5Demo: Creating Your First Project
-
6Introduction to version control with Git and GitHub
-
7Demo: Using Git with Python Projects
-
8Cloning and Running a Git Repository in IDEs
-
9Working with GitHub: Importing Repositories and Using GitHub Codespaces
-
10Lesson 1 Exercise: Setting Up Your Python Development Environment
-
11Printing with Python: Your First Step into Coding
-
12Print Techniques in Python
-
13Python Print Exercise and Solution
-
14Printing with Python: Your First Step into Coding
-
15Python Fundamentals: Common Print Statement Errors
-
16Debugging Practice Exercise : Identifying and Fixing Python Syntax Errors
-
17Python Print Function: Common Mistakes
-
18Mastering Multi-line Printing in Python: Basic Techniques
-
19Multi-line Printing Exercise and Solution: Practical Exercises in Python
-
20Multi-line Printing in Python
-
21Using Comments in Python
-
22Demo: Using Comments in Python
-
23Adding Comments in Python
Lesson 3: Operations with Basic Data Types
-
24Python Data Types
-
25Demo: Python Data Types
-
26Python Data Types Exercise
-
27Hands-on Data Types Identification: Exercise and Solution
-
28Python Data Types and Variables Exercise
-
29Hands-on Variable Assignment Manipulation: Exercise and Solution
-
30Python Variables and Data Types Exercise
-
31Adding Variables
-
32Adding Variables. Part 2
-
33Operations with Variables Exercise
-
34Python Variable Naming Rules and Best Pactices
-
35Python Variable Naming Rules
-
36String Manipulation in Python
-
37Demo: String Manipulation in Python
-
38Pythhon String Operations
-
39String Manipulation - Example
-
40String Manipulation Word Game
-
41Hands-on Simple Calculations String Manipulation: Exercise and Solution
-
42Hands-on Type Conversion Operations: Exercise and Solution
-
43Understanding Int and Other Variable Types
-
44Working with User Input. Type Converting
-
45Type Converting cont.
-
46Python Coding Best Practices
-
47Python Coding Best Practices: PEP 8
-
48Hands-On Challenge: Building a Celsius to Fahrenheit Converter
Lesson 4: Special Operations with Basic Data Types
-
49Python Integer Arithmetic
-
50Hands-On Challenge: Shopping Calculator Program
-
51Hands-On Challenge: Build Your Personal Savings Calculator Program
-
52Hands-On Challenge: Dining Out with Python. Build Your Smart Bill Splitter
-
53From Integers to Floats and Back Again
-
54Hands-On Challenge: From Floor Division to Negative Numbers
-
55Hands-On Challenge: Time Management with Python - Days-to-Weeks Conversion App
-
56Hands-On Challenge: Build a Road Trip Budget Calculator
Lesson 5: Even More on PEP8
-
57Modulo Operator: Powerful Remainder Calculations in Python
-
58Mastering Exponentiation and Modulo Operators in Python
-
59Hands-On Challenge: Calculating Cube Volumes and Surface Areas
-
60Hands-On Modular Arithmetic: Movie Theater Seating and Secret Message Decoding
-
61Operations Processing order in Python: PEMDAS
-
62Hands-On Python Workshop: Startup Financial Modeling
-
63Hands-On Python Workshop Solution: Startup Financial Modeling
Lesson 6: Taking User's Input
Working with Lists, Dictionaries, Tuples, Loops, and Numeric Data Types
-
67Submitting an input in Python
-
68Hands-On Exercises with User's Input: Tasks and Solutions. Part 1
-
69Hands-On Exercises with User's Input: Tasks and Solutions. Part 2
-
70Hands-On Exercises with User's Input: Tasks and Solutions. Part 3
-
71Hands-On Exercises with User's Input: Tasks and Solutions. Part 4
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Stars 5
45
Stars 4
13
Stars 3
11
Stars 2
4
Stars 1
4