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AIOps Part 1: Python Foundations

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COURSE INTRODUCTION

Course Introduction

Designed for network engineers and automation practitioners, this course builds a complete Python foundation through network-operations scenarios. It covers the development environment, numbers and strings, regular expressions, lists, dictionaries, tuples, files, control flow, functions, modules, classes, common built-in modules, data persistence, multithreading, multiprocessing, coroutines, and exception handling. Hands-on code includes network data processing, SSH, databases, XML, JSON, and Jinja2, preparing learners for classic automation protocols, NetDevOps, and AIOps.

Companion Git repository: https://git.qytang.com/qytadmin/python_basic

CURRICULUM

Course Curriculum

01
1. 1.1
  Python History, Ecosystem, and Use Cases
2. 1.2
  Python Features and Version Differences
02
1. 2.1
  Installing Python and pip on Windows
2. 2.2
  Installing Python and pip on Linux
3. 2.3
  Development Tools, Interpreters, and Documentation
03
1. 3.1
  Integers, Floats, Complex Numbers, and Booleans
2. 3.2
  Numeric Operations, Comparisons, and Math Utilities
04
1. 4.1
  String Creation, Indexing, Slicing, and Immutability
2. 4.2
  String Methods, Formatting, and Encoding
3. 4.3
  Regular Expression Syntax and Matching
4. 4.4
  Regular Expressions for Network Text Processing
05
1. 5.1
  List Creation, Indexing, Slicing, and Methods
2. 5.2
  List Comprehensions, Sorting, and Nested Structures
3. 5.3
  Dictionary Keys, Values, Methods, and Iteration
4. 5.4
  Nested Dictionaries, Sorting, and Network Data Modeling
06
1. 6.1
  Tuple Immutability, Packing, and Unpacking
2. 6.2
  Opening, Reading, Writing, and Closing Files
3. 6.3
  with Context Management and File Pointers
4. 6.4
  Text, CSV, and Network Configuration File Processing
07
1. 7.1
  Variables, Object References, and Multiple Assignment
2. 7.2
  Sequence Unpacking, Extended Unpacking, and Augmented Assignment
08
1. 8.1
  print Arguments, Separators, and Endings
2. 8.2
  String Formatting and Output Redirection
09
1. 9.1
  Truth Values, Comparisons, and Boolean Logic
2. 9.2
  if, elif, else, and Conditional Expressions
10
1. 10.1
  while Loops and Loop Control
2. 10.2
  for, range, and Sequence Iteration
3. 10.3
  break, continue, and Loop else
4. 10.4
  enumerate, zip, and Comprehensions
11
1. 11.1
  Function Definition, Calls, and Return Values
2. 11.2
  Positional, Keyword, Default, and Variadic Arguments
3. 11.3
  Scope, LEGB, global, and nonlocal
4. 11.4
  lambda, Recursion, and Functional Tools
12
1. 12.1
  import, from, as, and Module Search Paths
2. 12.2
  __name__, Module Testing, and Package Structure
3. 12.3
  Third-Party Modules, pip, and Virtual Environments
13
1. 13.1
  Classes, Objects, Attributes, and Methods
2. 13.2
  Inheritance, Method Overriding, and Polymorphism
3. 13.3
  Encapsulation, Properties, and Class Methods
4. 13.4
  Special Methods and Object-Oriented Practice
14
1. 14.1
  sys: Interpreter and Runtime Environment
2. 14.2
  os: Filesystem and Operating System Interfaces
3. 14.3
  datetime: Date and Time Processing
4. 14.4
  argparse: Command-Line Argument Parsing
15
1. 15.1
  Object Serialization with pickle
2. 15.2
  Key-Value Persistence with shelve
3. 15.3
  Databases and Python Data Access
4. 15.4
  Parsing and Generating XML
5. 15.5
  JSON Data Processing
6. 15.6
  Comparing and Selecting Data Formats
16
1. 16.1
  Thread Creation, Concurrency, and Synchronization
2. 16.2
  Locks, Queues, and Thread Pools
3. 16.3
  Processes, Process Pools, and IPC
4. 16.4
  Concurrency Models in Network Automation
17
1. 17.1
  try, except, else, and finally
2. 17.2
  raise, assert, and Custom Exceptions
3. 17.3
  Exception Debugging and Robust Script Design

COURSE RECORDINGS

15 MIN

Watch on the Original Platform

AIOps Part 1: Python Foundations

Introduction to Python

Python History, Ecosystem, and Use Cases

Python Features and Version Differences

Python Environment Setup

Installing Python and pip on Windows

Installing Python and pip on Linux

Development Tools, Interpreters, and Documentation

Python Numeric Types

Integers, Floats, Complex Numbers, and Booleans

Numeric Operations, Comparisons, and Math Utilities

Strings and Regular Expressions

String Creation, Indexing, Slicing, and Immutability

String Methods, Formatting, and Encoding

Regular Expression Syntax and Matching

Regular Expressions for Network Text Processing

Lists and Dictionaries

List Creation, Indexing, Slicing, and Methods

List Comprehensions, Sorting, and Nested Structures

Dictionary Keys, Values, Methods, and Iteration

Nested Dictionaries, Sorting, and Network Data Modeling

Tuples and Files

Tuple Immutability, Packing, and Unpacking

Opening, Reading, Writing, and Closing Files

with Context Management and File Pointers

Text, CSV, and Network Configuration File Processing

Assignment Statements

Variables, Object References, and Multiple Assignment

Sequence Unpacking, Extended Unpacking, and Augmented Assignment

Printing and Formatted Output

print Arguments, Separators, and Endings

String Formatting and Output Redirection

Conditional Statements

Truth Values, Comparisons, and Boolean Logic

if, elif, else, and Conditional Expressions

While and For Loops

while Loops and Loop Control

for, range, and Sequence Iteration

break, continue, and Loop else

enumerate, zip, and Comprehensions

Python Functions

Function Definition, Calls, and Return Values

Positional, Keyword, Default, and Variadic Arguments

Scope, LEGB, global, and nonlocal

lambda, Recursion, and Functional Tools

Python Modules and Packages

import, from, as, and Module Search Paths

__name__, Module Testing, and Package Structure

Third-Party Modules, pip, and Virtual Environments

Python Classes and Object-Oriented Programming

Classes, Objects, Attributes, and Methods

Inheritance, Method Overriding, and Polymorphism

Encapsulation, Properties, and Class Methods

Special Methods and Object-Oriented Practice

Common Standard Library Modules

sys: Interpreter and Runtime Environment

os: Filesystem and Operating System Interfaces

datetime: Date and Time Processing

argparse: Command-Line Argument Parsing

Data Persistence

Object Serialization with pickle

Key-Value Persistence with shelve

Databases and Python Data Access

Parsing and Generating XML

JSON Data Processing

Comparing and Selecting Data Formats

Multithreading and Multiprocessing

Thread Creation, Concurrency, and Synchronization

Locks, Queues, and Thread Pools

Processes, Process Pools, and IPC

Concurrency Models in Network Automation

Python Exception Handling

try, except, else, and finally

raise, assert, and Custom Exceptions

Exception Debugging and Robust Script Design

NetDevOps Python Foundations 0: Internal System Introduction

NetDevOps Python Foundations 1: Introduction to Python

Designing Python Functions and Modules

QYT Python Automation: Python Classes

NetDevOps and AIOps Python Foundations: Assignment Introduction

name, Module Testing, and Package Structure