Minimum Python Study Guide

Safique Faruque

This is a quick-reference guide to Python for beginners and experienced developers who want a fast refresher.

Data Types

Primitive Types

  • int
  • float
  • str
  • bool

Complex Types

  • list
  • tuple
  • dict
  • set

Collections: list, dict, set Operations

Add

  • list.append(item)
  • list.insert(index, item)
  • dict[key] = value
  • set.add(item)

Delete

  • del list[index]
  • list.remove(item)
  • list.pop(index)
  • dict.pop(key)
  • set.remove(item)

Access

  • Indexing: mylist[0]
  • Slicing: mylist[start:end]
  • Stepping: mylist[start:end:step]
  • list.index(item)
  • list.count(item)
  • item in list

Other

  • clear()
  • len()
  • min()
  • max()

String Operations

  • str.count(substring)
  • str.find(substring)
  • str.strip()
  • str.split(delimiter)

Math Operations

  • min()
  • max()
  • pow(x, y)
  • abs(x)
  • math.floor(x) (requires import math)

Conditions

If / Else Syntax

if condition1:
    # do something
elif condition2:
    # do something else
else:
    # fallback action

Ternary Operator

status = "Adult" if age >= 18 else "Minor"

Equivalent in Other Languages

status = age >= 18 ? "Adult" : "Minor";

Loops

Common For-Loop Patterns

# Iterate over values
for value in values:
    ...

# Index and value
for index, value in enumerate(values):
    ...

# Keys only
for key in my_dict:
    ...

# Keys and values
for key, value in my_dict.items():
    ...

# Range loop
for i in range(5):
    ...

Object-Oriented Programming (OOP)

Class Definition

class Person:
    def __init__(self, name):
        self.name = name

    def greet(self):
        return f"Hello, {self.name}"

This guide covers the essentials. For deeper learning, explore Python’s official documentation, or practice with small projects and challenges.

Let me know if you want a version in Markdown without TOML front matter, or a downloadable version (PDF or HTML).

Author: Safique Faruque