Explore the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules.

Geared for experienced security professionals, this class is an introductory, practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar.

This course is tailored specifically for Security Analysts and others who wish to use Python functionality for security-related tasks such as log manipulation or forensics. This course, which addresses secure coding practices, is essential for security professionals that are performing security reviews and audits of Python applications or are supporting development teams in implementing better defenses in Python.

Who Should Attend?

This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts.

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We can host this training at your preferred location.

Prerequisites

Students are required to have some basic programming experience and exposure prior to attending this course. Students should have basic development experience in any programming language, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.

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What You Will Learn

Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to:

Create working Python scripts following best practices
Use python data types appropriately
Read and write files with both text and binary data
Search and replace text with regular expressions
Get familiar with the standard library and its work-saving modules
Use lesser-known but powerful Python data types
Create "real-world", professional Python applications
Work with dates, times, and calendars
Know when to use collections such as lists, dictionaries, and sets
Understand Pythonic features such as comprehensions and iterators

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Outline

Session 1: An Overview of Python

What is python?
An overview of Python
What is python?
Python Timeline
Advantages/Disadvantages of Python
Getting help with pydoc

Session 2: The Python Environment

Starting Python
Using the interpreter
Running a Python script
Python scripts on Unix/Windows
Editors and IDEs

Session 3: Getting Started

Using variables
Builtin functions
Strings
Numbers
Converting among types
Writing to the screen
Command line parameters

Session 4: Flow Control

About flow control
White space
Conditional expressions
Relational and Boolean operators
While loops
Alternate loop exits

Session 5: Sequences

About sequences
Lists and list methods
Tuples
Indexing and slicing
Iterating through a sequence
Sequence functions, keywords, and operators
List comprehensions
Generator Expressions
Nested sequences

Session 6: Working with files

File overview
Opening a text file
Reading a text file
Writing to a text file
Reading and writing raw (binary) data
Converting binary data with struct

Session 7: Dictionaries and Sets

About dictionaries
Creating dictionaries
Iterating through a dictionary
About sets
Creating sets
Working with sets

Session 8: Functions

Defining functions
Parameters
Global and local scope
Nested functions
Returning values

Session 9: Sorting

The sorted() function
Alternate keys
Lambda functions
Sorting collections

Session 10: Errors and Exception Handling

Syntax errors
Exceptions
Using try/catch/else/finally
Handling multiple exceptions
Ignoring exceptions

Session 11: Modules and Packages

The import statement
Module search path
Creating modules and Using packages
Function and Module aliases

Session 12: Classes

About o-o programming
Defining classes
Constructors
Methods
Instance data
Properties
Class methods and data

Session 13: Regular Expressions

RE syntax overview
RE Objects
Searching and matching
Compilation flags
Groups and special groups
Replacing text
Splitting strings

Session 14: The standard library

The sys module
Launching external programs
The string module
Reading CSV data

Session 15: Dates and times

Working with dates and times
Translating timestamps
Parsing dates from text

Session 16: Working with the file system

Paths, directories, and filenames
Checking for existence
Permissions and other file attributes
Walking directory trees
Creating filters with fileinput
Security and File Access

Session 18: Network services

Grabbing web content
Detecting Malformed Input

Session 19: Writing secure Python applications

Parsing command-line options
Getting help with pydoc
Safely handling untrusted data
Managing eval() permissions
Potential insecure packages
Embedding code snippets in Python
Embedding authentication data in Python
Potentially dangerous operations:
File access
Operating system access
Calls to external services
Called to external data sources
Static analysis tools such as Bandit

Session 20: Essential, Safe DB Access

DB-API
ORM with SQLAlchemy
Preventing SQL Injection in DB Access
Parameterization in DB Interactions

Session 21: Log File Analysis

Raw log file manipulation
Fail2Ban
Customizing Fail2Ban with Python

Session 22: Security FIlters

SQL-Injection Detection
ModSecurity CRS filtering

Session 23: Packet Analysis

Packet Sniffing in Python

Session 24: Analytics

Security Logging and Analytics
Attack Detection and Defense
Python and Spark High-Level Overview

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Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Introduction to Python Programming for Security Analysts & Professionals Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.

Introduction to Python Programming for Security Analysts & Professionals Training in Norway

Who Should Attend?

Prerequisites

What You Will Learn

Outline

Avaible Training Dates