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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:
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Setup Python
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Scripting with OS module basics
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Working with paths
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Working with files
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Using shutil
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Writing basic scripts in Python
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And more…
Introduction to Scripting
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1
Setting Up Your Python Environment -
2
Demo: Setting Up Your Python Environment - Part 1
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3
Demo: Setting Up Your Python Environment - Part 2
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4
Creating Your First Project
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5
Demo: Creating Your First Project
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6
Introduction to version control with Git and GitHub
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7
Demo: Using Git with Python Projects
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8
Using Comments in Python
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9
Demo: Using Comments in Python
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10
Python Data Types
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11
Demo: Python Data Types
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12
Adding Variables
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13
Variables cont.
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14
String Manipulation in Python
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15
Demo: String Manipulation in Python
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16
String Manipulation - Example
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17
Working with Lists
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18
Demo: Working with Lists
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19
Demo: Working with Lists cont.
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20
Working with Lists - Example
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21
Working with Lists - Example. Part 2
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22
Working with Dictionaries
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23
Demo: Working with Tuples
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24
Demo: Working with Files
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25
Using Numeric Data Types
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26
Demo: Using Numeric Data Types. Part 1
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27
Demo: Using Numeric Data Types. Part 2
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28
Demo: Using Numeric Data Types. Example
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29
Working with User Input. Type Converting
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30
Type Converting cont.
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31
Logical Operators
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32
ELIF Statement
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33
ESLE Statement
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34
Strings
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35
Int, Variables and Data Types
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36
Type() Function
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37
Addition: Numbers and Strings
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38
Addition: Variables
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39
Errors are Your Friend. Handling Errors.
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40
User Input and Input Prompts
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41
Comma separated string printing and printing numbers with strings using comma
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42
Quotes in Quotes and Boolean Strings Tests
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43
String Format Methods
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44
Input. String Formating
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45
Boolean 'in' keyword
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46
Intro to Lists
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47
For Loops
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48
While Loops
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49
Working with Lists
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50
Create the simpliest function
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51
Function Parameters & Function Return
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52
Creating a function to iterate through lists
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53
While loop examples
Continue with Scripting
Hands-On Scripts' Examples
Practice Tests
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63
Hands-On Examples: Using Comments in Code
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64
Hands-On Examples: Data Types in Python
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65
Hands-On Examples: Variables in Python
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66
Hands-On Examples: Adding Variables in Python
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67
Hands-On Examples: Working with Strings. Example 1
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68
Hands-On Examples: Working with Strings. Example 2
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69
Hands-On Examples: Working with Strings. Example 3
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70
Hands-On Examples: Working with Strings. Example 4
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71
Hands-On Examples: Working with User's Inpu. Example 1
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72
Hands-On Examples: Working with User's Inpu. Example 2
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73
Hands-On Examples: Working with User's Input. Example 3
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74
Hands-On Examples: Working with Type Convering. Example 1
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75
Hands-On Examples: Working with Type Convering. Example 2
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76
Hands-On Examples: Working with IF Statements. Example 1
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77
Hands-On Examples: Working with IF Statements. Example 2
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78
Hands-On Examples: Working with Logical Operators. Example 1
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79
Hands-On Examples: Working with Logical Operators. Example 2
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80
Hands-On Examples: Working with ELIF. Example 1
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81
A Script to Format Text in Academic Style
prerequisites: pip install python-docx
Deprecated Lectures
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!
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