Python Programming Language: A Quickstudy Laminated Reference Guide (Poster)

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:

• History & Key Features
• Language Structure
  • Naming Conventions
  
  
• Variables & Data Types
  • Common Data Types
  • Type Hints & Static Typing (Python 3.5+)
  • Unions
  • Reserved Keywords
  
  
• Importing Modules
• Console Input & Output
  • Display Output
  • Convert Output
  • Control Print Behavior
  
  
• Strings
  • Concatenation & Repetition
  • Get String Length
  • Access Characters & Slices
  • Escape Characters
  • String Formatting
  
  
• Operators
  • Arithmetic Operators
  • Comparison Operators
  • Logical Operators
  • Assignment Operators
  • Bitwise Operators
  • Membership Operators
  • Identity Operators
  • Assignment Expressions (Python 3.8+)
  
  
• Statements
  • Simple Statements
  • Compound Statements
  • Expressions vs. Statements
  • Multiline Statements
  
  
• Functions
  • Variable-Length Arguments
  
  
• Flow Control
  • Basic if Statement
  • The if … else Statement
  • Using if … elif … else
  • One-Line if Statement
  • Check Multiple Conditions
  • Structural Pattern Matching (Python 3.10+)
  • asyncio for Asynchronous Programming (Python 3.7+)
  
  
• Looping
• Object-Oriented Programming (OOP)
  • Classes & Objects
  • Inheritance
  • Polymorphism
  • Method Overriding
  • self Type (Python 3.11+)
  • dataclasses Module (Python 3.7+)
  • Generators