Price: 5.00 USD | Size: 6.30 GB | Duration : 20.40+ Hours | 165+ Video Lessons |★★★★★ 4.8
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Introduction to Python for Network Engineers Online Training
Modules
001. Introduction To Python
002. Python & Programming
003. Linux Setup
004. Macos Setup
005. Windows Setup
006. Useful Extensions
007. Cloning Code From Github
008. Cisco Devnet Sandboxes
009. Running Our First Script
010. Virtual Environments
011. Installing Ipython
012. Introduction To Variables
013. Naming Variables
014. Python Data Types
015. Working With Mutable Data Types
016.working With Immutable Data Types
017. Strings Overview
018. Converting Strings
019. The Input Function
020. Concatenation
021. Formatting Strings
022. Formatting Strings
023. Introduction
024. Conditional Statements
025. For Loops
026. Nested Loops
027. The Range Function
028. The Continue Operator
029. While Loops
030. Introduction
031. The Bool Function
032. Evaluating Strings
033. Evaluating Lists
034. Tuples, Dicts And Sets
035. The And Operator
036. The Or Operator
037. The Not Operator
038. Introduction To Lists
039. Iterating Over Lists
040. Indexing & Slicing
041. Min And Max Functions
042. Appending, Extending And Inserting
043. Popping, Removing And Clearing Items
044. Sorting Lists
045. Nested Lists
046. Tuples Overview
047. Working With Tuples
048. Introduction To Dictionaries
049. Adding Keys & Accessing Values
050. Removing Keys
051. Keys, Values And Items
052. Iterating Over Dictionaries
053. Unpacking Dictionaries
054. Introduction To Sets
055. Adding & Removing From Sets
056. Set Operations & Methods
057. Introduction To Functions
058. Exploring Built-in Functions
059. Creating Functions
060. Passing Arguments
061. The Return Statement
062. Args
063. Kwargs
064. Importing Modules
065. Returning Multiple Values
066. Scope
067. Introduction
068. Comprehensions
069. Lambda Functions
070. The Map Function
071. The Filter Function
072. The Reduce Function
073. Introduction
074. Opening And Closing Files
075. Context Managers
076. Reading Files
077. Writing Files
078. Appending Files
079. File Paths
080. Writing Network Data
081. Introduction
082. Network State With Scrapli
083. Multiple Devices With Scrapli
084. Structured Data With Scrapli
085. Configuring Devices With Scrapli
086. The Napalm Library
087. The Ipaddress Library
088. Introduction
089. Classes
090. Class Attributes
091. Instance Attributes
092. Creating Methods
093. Magic Methods
094. Introduction
095. Private Membership
096. Property Decorator
097. Static Methods
098. Class Methods
099. Inheritance
100. Composition
101. Introduction
102. Functions Recap
103. Creating A Decorator
104. Decorator Syntax
105. Passing Arguments
106. Creating A Performance Decorator
107. Generator Overview
108. Working With Generators
109. Generator Comprehensions
110. Introduction
111. Yaml Overview
112. Variable Substitution
113. Working With Loops
114. Conditional Logic
116. Introduction
117. Setting Up Git
118. Git Logs
119. Git Branches
120. Zshell
121. Merging
122. Rebasing
123. Integrating Github
124. Ignoring Files
125. Merge Conflicts
126. Introduction
127. What Is A Rest Api
128. Understanding The Methods
129. Understanding The Status Codes
130. Sending Requests With Postman
131. Sending Requests With Httpx
132. The Restconf Protocol
133. Introduction
134. Pep8 Style Guide
135. Naming Conventions
136. Code Comments
137. Imports
138. Structuring Code
139. Linting Code
140. Formatting With Black
141. Introduction
142. The Csv Module
143. Creating A Simple Spreadsheet
144. Reading Data
145. Writing Data
146. Dictreader
147. Storing Network Data
148. Introduction
149. The Python Debugger
150. Configure Logging
151. Exceptions Overview
152. Handling Exceptions
153. Typing
154. Mypy
155. Introduction
156. The Unittest Module
157. Methods And Structure
158. Testing With Pytest
159. Pytest Fixtures
160. Parametrize Tests With Pytest
161. Introduction
162. Multiprocessing Overview
163. Automating With Multiprocessing
164. Multithreading Overview
165. Automating With Multithreading
166. Asyncio Overview
167. Automating With Asyncio
Introduction to Python for Network Engineers Online Training
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