INE – Python Programming for Network Engineers (2015)[64 Flv]
English | Size: 1.96 GB (2,101,508,619 bytes )
Category: Tutorial
This course is intended for network engineering professionals who want to take their creative thought processes to the next level by writing code. Whether it’s freeing up time at work by automating simple operational tasks or developing a complete framework for shifting traffic off of routers during scheduled changes, programming is an invaluable skill from which any network engineer will gain immediate returns. This course will teach students how to write Python by developing a complete command-line application that will regularly retrieve device configurations, check code in to a version control system, and receive configuration policy violation reports via email. This course is based on Python Release 2.7.
Course Duration: 7h 20m
The Python Programming Environment
Choosing an Operating System
Operating Systems Supported by Python 2 m
Why Choose Linux? 3 m
virtualenv & virtualenwrapper 13 m
Total Duration: 19m
Configuring Your Text Editor (PEP 8)
Indentation 10 m
Spaces Over Tabs 7 m
Source File Encoding 6 m
Comments 2 m
Total Duration: 27m
The Python Interactive Interpreter
Running the Interpreter 5 m
Running code inside the Interpreter 4 m
Learning with the Interpreter 23 m
Total Duration: 32m
Running Your Python Scripts
Saving Your Source Files 1 m
Executing Your Source Files 3 m
What does the Shebang (#!) Line Do? 4 m
Total Duration: 9m
Python Fundamentals
The Python Object/Execution Model
Everything is an Object 1 m
Two Types of Objects 2 m
Statements and Expressions 5 m
Total Duration: 9m
Variables
Traditional Variable Concepts 2 m
Variables in Python 3 m
Total Duration: 6m
Data Types
Data Types :: Strings 8 m
Data Types :: Integers 2 m
Data Types :: Floats 2 m
Data Types :: Lists 5 m
Data Types :: Dictionaries 5 m
Data Types :: Tuples 6 m
Total Duration: 32m
Control Structures
Control Structures :: if/else/elif Statements 10 m
Control Structures :: for loops 4 m
Control Structures :: while loops 2 m
Control Structures :: Breaking Out of Loops 4 m
Control Structures :: The ‘pass’ Statement 2 m
Total Duration: 24m
Functions
Functions :: What is Scope? 17 m
Functions & Arguments 8 m
Functions :: Positional Arguments 3 m
Functions :: Keyword Arguments 2 m
Total Duration: 31m
(Slightly) More Advanced Python
Exceptions
Exceptions :: What are Exceptions? 3 m
Exceptions :: Catching Exceptions 8 m
Exceptions :: The “try/finally” Clause 2 m
Total Duration: 14m
Working with Files and Directories
Using ‘open’ 5 m
File Object Modes 8 m
File Object Methods 4 m
The ‘with’ Statement 3 m
Total Duration: 21m
Complex Data Structures
How to Think About Data 9 m
Example One :: A List of Lists 5 m
Example Two :: A Lists of Dictionaries 4 m
Example Three :: A Dictionary of Dictionaries 16 m
Total Duration: 35m
Maintaining State
Maintaining State :: Data Serialization 2 m
Maintaining State :: XML 6 m
Maintaining State :: YAML 6 m
Maintaining State :: JSON 5 m
Maintaining State :: Pickle 5 m
Maintaining State :: Databases 5 m
Total Duration: 31m
Modules
Finding and Using Modules 5 m
Creating Your Own Modules 2 m
Namespaces :: A Cautionary Tale 10 m
Total Duration: 19m
Command-line Arguments
What’s ARGV Anyway? 19 m
The argparse Module 4 m
Argument Types 3 m
Total Duration: 27m
Misc. Topics
Programming Examples :: Part 1 20 m
Programming Examples :: Part 2 14 m
Programming Examples :: Part 3 33 m
Programming Examples :: Part 4 11 m
Procedural Programming 3 m
Object-Oriented Programming 4 m
Functional Programming 4 m
Jinja2 Template Engine Review 5 m
Total Duration: 1h 37m
End of Course
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