2.23 GB | 00:04:57 | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Introduction  (27.41 MB)
2 - An overview of Python  (8.94 MB)
3 - About Shell Scripting  (2.81 MB)
4 - Python vs Shell Scripting  (5.13 MB)
5 - When to Use Python vs Shell Scripting  (4 MB)
63 - Introduction to Python Packages  (5.48 MB)
64 - Key Concepts of Packages  (6.27 MB)
65 - Advantages of Using Packages  (3.84 MB)
66 - Lab Creating Package Structures and Modules  (29.44 MB)
67 - Importing Modules for Easier Access using initpy  (12.89 MB)
68 - Creating a Main Python File to Utilize Your Package  (20.9 MB)
69 - Importing Functions from a Package  (10.17 MB)
70 - Command Line Arguments with Practical Examples  (9.38 MB)
71 - Lab Script to Add Two Numbers No Command Line Arguments  (10.28 MB)
72 - Lab Working with sysargv for Command Line Arguments  (19.91 MB)
73 - Lab Passing Multiple Arguments to Python Scripts  (13.11 MB)
74 - Lab Pass Arguments to Add Two Numbers  (14.29 MB)
75 - Lab Conditional Arithmetic via Script Arguments  (15.22 MB)
76 - Lab Conditional Arithmetic Using Script Arguments  (17.71 MB)
77 - The Basics of Arithmetic Operators in Python  (21.5 MB)
78 - Lab Exploring Comparison Relational Operators  (12.49 MB)
79 - Lab Comparison Operators  (10.97 MB)
80 - Logical Operators and or not  (3.53 MB)
81 - Lab Using and or for Logical Operations  (11.67 MB)
82 - Lab Using not for Logical Operations  (5.62 MB)
83 - Assignment Operators in Python  (10.12 MB)
84 - Lab Understanding Different Assignment Operators  (13.67 MB)
85 - Membership Operators in and not in  (10.95 MB)
86 - Lab Using not in Membership Operators  (7.27 MB)
87 - Operators in DevOps Practical Use Cases  (7.07 MB)
88 - Use Cases for Operators in the DevOps Workflow  (4.39 MB)
89 - Understanding if statement in Python  (5.17 MB)
90 - Understanding elseelif statement in Python  (3.9 MB)
91 - Lab Implementing ifelse Statements  (10.44 MB)
92 - Lab DevOps Use Cases with ifelseelif  (21.48 MB)
93 - For Loops in Python Syntax and Usage  (7.09 MB)
94 - While Loops in Python Syntax and Usage  (4.65 MB)
95 - Lab Implementing For Loops  (10.36 MB)
96 - Lab Printing Ranges and Strings with For Loops  (9.96 MB)
97 - Lab Implementing Infinite While Loops  (13.7 MB)
98 - Lab Exploring Break Statements in Python  (15.59 MB)
100 - Lab User Input for List Creation  (22.6 MB)
101 - Lab Understanding split function textsplit  (9.68 MB)
102 - Lab Identify modules and their functions  (9.45 MB)
103 - Lab Utilize a for loop to list files  (9.27 MB)
104 - Exception Handling with Try Statement  (11.03 MB)
105 - Lab Python Script for Handling Exceptions Using Try Statements  (17.89 MB)
106 - Lab Handling Error FileNotFoundError  (13.42 MB)
107 - Lab Handling Known Error PermissionError  (8.86 MB)
99 - Introduction to the RealTime Project  (2.95 MB)
108 - Integrating Python with GitHub Through the GitHub API  (5.41 MB)
109 - Lab Install PyGithub and Generate a GitHub Access Token  (17.25 MB)
110 - Lab Retrieve User Login and Public Repos with Python  (23.8 MB)
111 - Lab Retrieve GitHub Account Repository List  (16.77 MB)
112 - Lab Create a New Repository with Python  (11.35 MB)
113 - Clone a Repository Using the Subprocess Module  (4.51 MB)
114 - Lab Clone a Repository with the Subprocess Module  (32.05 MB)
115 - Lab Using GitPython Library  (16.11 MB)
116 - Lab Handle Git Errors with Exception Handling  (19.82 MB)
117 - Introduction to the Boto3 Python Module  (9.42 MB)
118 - Lab Install Boto3 and Create an AWS User Account  (17.54 MB)
119 - Lab Configure GitHub Access from Codespaces via AWS CLI  (23.94 MB)
120 - Lab List All Buckets with Boto31  (12.39 MB)
121 - Lab List All Buckets with Boto32  (18.8 MB)
122 - Lab List All Buckets with Boto33  (8.93 MB)
123 - Lab Upload a File to a Bucket Using Boto3  (28.11 MB)
124 - Lab download скачать a File to a Bucket Using Boto3  (12.75 MB)
125 - Project Overview  (4.26 MB)
126 - Setting Up a User Account in AWS with IAM  (30.19 MB)
127 - Set Up AWS CLI in Codespaces  (6.62 MB)
128 - Begin Python Script Import Boto3  (10.81 MB)
129 - Include EC2 Attributes in Python Script  (50.51 MB)
130 - Add Tag Specifications in Python Script  (14.4 MB)
131 - Debug the Python Script Before Execution  (14.53 MB)
132 - Access the EC2 Instance Launched via Python Script  (8.06 MB)
133 - Update the Python Script to Add 20GB EBS Volume  (12.75 MB)
134 - Run Python Script to Confirm EBS Volume  (15.23 MB)
135 - Update Python Script to Include UserData  (14.55 MB)
136 - Update Python Script to Include Apache Package  (12.39 MB)
137 - Run the Revised Python Script and Validate  (24.08 MB)
138 - Access the Apache Server  (13.58 MB)
6 - Begin Python Coding Practice  (6.56 MB)
7 - Visual Studio Code Python Coding Practice  (25.4 MB)
8 - PyCharm IDEs  (23.43 MB)
9 - Codespaces Online Coding Platform  (20.72 MB)
139 - Project Overview  (8.14 MB)
140 - Set Up a GitHub Repository for Your Project  (7.93 MB)
141 - Write the Source Code in Python and Push to GitHub Repository  (12.71 MB)
142 - Provision a Jenkins Server Instance in AWS  (25.6 MB)
143 - Connect to the Jenkins Server and Install Java  (95.59 MB)
144 - Install the Jenkins Package on the Server  (33.96 MB)
145 - Set Up Jenkins Configuration  (9.48 MB)
146 - Install Necessary Plugins on the Jenkins Server  (31.91 MB)
147 - Add GitHub Credentials to the Jenkins Server  (8.66 MB)
148 - First Stage of the Pipeline Checkout the Project  (11.27 MB)
149 - Build the Job  (8.95 MB)
150 - Add a Stage for Installing Python Dependencies  (23.13 MB)
151 - Add a Stage to Execute the Python Script  (22.79 MB)
152 - Setting Up a User Account in AWS with IAM  (8.81 MB)
153 - Create Access Keys for Jenkins Credentials  (12.83 MB)
154 - Set Up Access Keys in Jenkins Pipeline  (12.82 MB)
155 - Export AWS Credentials in Jenkins Pipeline  (12.78 MB)
156 - Build the Job and Verify EC2 Instance Creation in AWS  (7.72 MB)
157 - Access the Web Server Using URL  (17.24 MB)
158 - Setup GitHub Webhooks in Jenkins  (8.38 MB)
159 - GitHub hook trigger for GITScm polling  (7.95 MB)
160 - Add Jenkins Webhook to GitHub Repository  (15.06 MB)
161 - Test the Webhook by Editing the Python Script  (15.55 MB)
162 - Last Lecture  (875.57 KB)
10 - About Data Types in Python  (14.2 MB)
11 - Lab String Data Type  (10.27 MB)
12 - Lab Integer Data Type  (16.21 MB)
13 - Lab Float Data Type  (18.22 MB)
14 - Lab len Length of a string  (12.26 MB)
15 - Lab String upper lower  (13.96 MB)
16 - Lab String replace  (9.37 MB)
17 - Lab String split  (40.12 MB)
18 - Lab Print specific object in split  (9.33 MB)
19 - About List in Python  (8.83 MB)
20 - Lab List Data Type  (16.28 MB)
21 - Lab Add and Modify in a List Data Type Mutable  (24.76 MB)
22 - About Tuples in Python  (5.45 MB)
23 - Lab Tuples in Python  (15.68 MB)
24 - About Sets in Python  (5.05 MB)
25 - Lab Sets in Python  (13.85 MB)
26 - Dictionary in Python  (6.22 MB)
27 - Lab Dictionary in Python  (31.69 MB)
28 - Use Cases in DevOps  (9.33 MB)
29 - Boolean Data Types  (11.41 MB)
30 - Lab Boolean in Python  (18.91 MB)
31 - Overview of Regular Expressions in Python  (6.97 MB)
32 - Lab Using rematch to Match Patterns at the Start of a String  (22.15 MB)
33 - Lab Using research to Find Matches Anywhere in a String  (16.26 MB)
34 - Lab Using refindall to Search for All Matches in a String  (16.4 MB)
35 - Regex Use Cases from a DevOps Perspective  (23.98 MB)
36 - Overview of Keywords in Python  (8.96 MB)
37 - Common Python keywords  (17.28 MB)
38 - Mastering Control Flow Keywords if else for and break  (12.62 MB)
39 - Lab Mastering Control Flow Keywords continue def return class import etc  (7.78 MB)
40 - Overview of Variables with Example  (10.13 MB)
41 - Lab Working with Float Variables in Python  (6.31 MB)
42 - Lab Defining Lists as Variables in Python  (8.9 MB)
43 - Lab Working with Dictionary Variables in Python  (12.29 MB)
44 - Python Variables Local vs Global Scope  (12.32 MB)
45 - Lab Working with Local Variables in Python  (14.07 MB)
46 - Lab Working with Global Variables in Python  (10.25 MB)
47 - Return Statement An Overview with Syntax  (5.66 MB)
48 - Lab Creating Functions That Return Values  (15.2 MB)
49 - Lab Functions That Return Multiple Values  (7.93 MB)
50 - Lab Function for Identifying Even and Odd Values  (9.73 MB)
51 - Introduction to Functions in Python  (7.49 MB)
52 - Advantages of functions in Python  (4.93 MB)
53 - Lab Functions with Parameters  (15.54 MB)
54 - Lab Functions with Return Value  (8.64 MB)
55 - Lab Designing Functions for Basic Arithmetic Operations  (31.28 MB)
56 - Comparing Scripts Using Functions vs Not Using Functions  (8 MB)
57 - Introduction to Python Modules  (4.18 MB)
58 - An Overview of Builtin Modules  (4.88 MB)
59 - An Overview of Userdefined Modules  (4.92 MB)
60 - Lab Essential Builtin Modules in Python  (12.04 MB)
61 - Lab OS and Math Modules  (17.28 MB)
62 - Lab Building Your Own Modules  (29.43 MB)]
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