Python for Cybersecurity

• This training course covers Python basics and cybersecurity.
• Python basics are taught to easy, medium, and advanced levels.
• The course covers network reconnaissance, cryptography, reverse engineering, and brute-force attacks.
• Also covered are vulnerability discovery and protection, and social engineering techniques, using tool development.
• Part one is seven hours, and part two's release is viewer engagement dependent.

Python in Cybersecurity

• Python is suited to cybersecurity, AI, data analysis, and software development.
• Python has many libraries and tools for security tasks.
• Its ease of use and learning makes it ideal for beginners
• Python supports multiple security libraries, is open source, and has large community support.
• Python is compatible with Linux, Windows, and Mac, and integrates with Wireshark, Metasploit, and Nmap.
• Covered topics include network reconnaissance, reverse engineering, vulnerability assessment, and brute-force attacks.
• In learning, Python libraries are explored, the environment is set up, and tools are installed.

Setting Up the Environment

• To check for Python, type python into the Windows command prompt.
• Being directed to the Microsoft Store indicates Python is not installed.
• Python can be installed from python.org, in the downloads section.
• VS Code can be downloaded by searching for it.
• During the install, make sure that the auto save function is checked.
• Font can be controlled in settings from the file menu.
• VS Code extensions are accessible with CTRL+SHIFT+X or the Extensions icon.
• The Microsoft Python extension is important to install.
• Python Preview helps with debugging.
• "Open Folder" starts a project; create the folder on the desktop.
• A new Python file is made with the new file icon.

Python Library Installation and Usage

• pip freeze shows existing Python libraries; pip is the package installer.
• pip install followed by the library's designation installs a library.
• A successful installation lists the collecting and building of the installer.
• pip uninstall followed by the library name uninstalls it.
• pypi.org shows if a library is up to date.

Printing in Python

• Print displays data.
• Text is displayed when enclosed in single or double quotes.
• print("example") showcases a string.
• Numbers do not need quotes, but can be printed with them.
• Code is read and executed top to bottom.
• exit() exits the program.
• To print double quotes in quotations, use backslashes \ to ignore the code.
• String escape sequences involve a backslash followed by a character.
• \t is a tab, a command for four spaces.
• \n is a newline command.
• Calculations can be done inside Print with mathematical operators.
• Adding strings and integers causes errors; strings must be multiplied for repetition.

File Paths

• File paths are printable and usable.
• Double backslashes give the correct destination.
• Unicode symbols can be incorporated with \u.

Customization

• Print uses add-ons like the "Rich" and "Pyfiglet" libraries.
• The rich library can be imported with import rich pr from rich import *
• The Pyfiglet command import: from pyfiglet import Figlet
• Pyfiglet uses the command Figlet(font='xxxx').rendertext('xxx').
• Styling arguments include bold, italics, and underline.
• Colors are added with keywords like red or blue.
• String multiplication creates special printing.

Comments

• Comments explain code sections.
• They can annotate, describe, or disable code for later.
• Comments are made with #.
• Highlight code and press CTRL+/ to comment multiple lines.
• Three quotation marks """, comment off chunks of selections.

Data Types

• Python has strings, integers, floats, and booleans.
• Strings are text values
• Integers are whole numbers.
• Floats are decimal numbers.
• Booleans declare True or False; this can also be checked.
• isinstance returns True or False if two arguments are true.