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 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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