An Overview of Python

1. What is python?

2. Python Timeline

3. Advantages/Disadvantages of Python

4. Getting help with pydoc

The Python Environment

1. Starting Python

2. Using the interpreter

3. Running a Python script

4. Python scripts on Unix/Windows

5. Editors and IDEs

Getting Started

1. Using variables

2. Builtin functions

3. Strings

4. Numbers

5. Converting among types

6. Writing to the screen

7. Command line parameters

Flow Control

1. About flow control

2. White space

3. Conditional expressions

4. Relational and Boolean operators

5. While loops

6. Alternate loop exits

Sequences

1. About sequences

2. Lists and list methods

3. Tuples

4. Indexing and slicing

5. Iterating through a sequence

6. Sequence functions, keywords, and operators

7. List comprehensions

8. Generator Expressions

9. Nested sequences

Working with files

1. File overview

2. Opening a text file

3. Reading a text file

4. Writing to a text file

5. Reading and writing raw (binary) data

6. Converting binary data with struct

Dictionaries and Sets

1. About dictionaries

2. Creating dictionaries

3. Iterating through a dictionary

4. About sets

5. Creating sets

6. Working with sets

Functions

1. Defining functions

2. Parameters

3. Global and local scope

4. Nested functions

5. Returning values

Sorting

1. The sorted() function

2. Alternate keys

3. Lambda functions

4. Sorting collections

Errors and Exception Handling

1. Syntax errors

2. Exceptions

3. Using try/catch/else/finally

4. Handling multiple exceptions

5. Ignoring exceptions

Modules and Packages

1. The import statement

2. Module search path

3. Creating modules and Using packages

4. Function and Module aliases

Working with Classes

1. About o-o programming

2. Defining classes

3. Constructors

4. Methods

5. Instance data

6. Properties

7. Class methods and data

Regular Expressions

1. RE syntax overview

2. RE Objects

3. Searching and matching

4. Compilation flags

5. Groups and special groups

6. Replacing text

7. Splitting strings

The standard library

1. The sys module

2. Launching external programs

3. The string module

4. Reading CSV data

Dates and times

1. Working with dates and times

2. Translating timestamps

3. Parsing dates from text

Working with the file system

1. Paths, directories, and filenames

2. Checking for existence

3. Permissions and other file attributes

4. Walking directory trees

5. Creating filters with fileinput

6. Security and File Access

Network services

1. Grabbing web content

2. Detecting Malformed Input

Writing secure Python applications

1. Parsing command-line options

2. Getting help with pydoc

3. Safely handling untrusted data

4. Managing eval() permissions

5. Potential insecure packages

6. Embedding code snippets in Python

7. Embedding authentication data in Python

8. Potentially dangerous operations:

   • File access

   • Operating system access

   • Calls to external services

   • Called to external data sources

9. Static analysis tools such as Bandit

Log File Analysis

1. Raw log file manipulation

2. Fail2Ban

3. Customizing Fail2Ban with Python

Security Filters

1. SQL-Injection Detection

2. ModSecurity CRS filtering

Packet Analysis

1. Packet Sniffing in Python

Analytics

1. Security Logging and Analytics

2. Attack Detection and Defense

3. Python and Spark High-Level Overview

Bonus Content / Time Permitting

RESTful Web Services

1. What is Flask?

2. Developing a Flask Web service

3. Mapping resources using URLs

4. Mapping resources using HTTP

5. Negotiating data content

Python application security

1. OWASP 2021 Top Ten Overview

2. Python Code Access Control

3. Options for Protecting Data

4. Injection and Python

5. Python and Data Validation

6. Python and XML Processing

7. Python and Known Vulnerable Components

8. Python and Serialization/Deserialization