Data Analytics For Cybersecurity

0dayddl · 2023.06.18.

Description:

Created for developers of all skill levels to find the essentials of common operations combined with the fastest reference guide for writing code. This handy 6 page laminated guide is a concise desktop reference to key concepts behind Python logic, syntax, and operation. Expertly written to concisely cover the planning of a program written in Python, assigning your first variables, importing other libraries, formatting output strings, and creating classes. Beginning students or seasoned programmers will find this tool a perfect go-to for reference to those core concepts. This unbeatable value makes it easy to add this reference to your programmer's toolbox.
6 page laminated guide includes:
[*] Working with Python
[*] Using Python Code
[*] Importing Modules
[*] Scope (Indentation)
[*] Naming Conventions
[*] Reserved Keywords
[*] Comments

[*] Writing Code Basics
[*] Making Variables
[*] Types
[*] Console
[*] Error Handling
[*] Saving & Loading Files

[*] Coding Structures
[*] Math Operators (int, float & complex)
[*] List Operations (list, tuple & dict)
[*] Strings
[*] Statements
[*] Functions
[*] Dictionaries

[*] Using Structures
[*] String Formatting
[*] String Methods
[*] Escape Sequences
[*] Bool Characters
[*] Writing Boolean Statements
[*] Recursion & Iteration
[*] Classes

[*] Coding Concepts
[*] Inheritance
[*] Generators
[*] Polymorphism
[*] Lambda Expressions

Category:Python Programming

Data.Analytics.for.Cybersecurity.110841527X.rar

Data Analytics For Cybersecurity

0dayddl

Power User