Python Basics Mind Map | Computational Techniques

Fundamentals

Control Flow

Data

Functions

NumPy

Applications

🐍 Python for Computational Techniques ▶
- 🪂 Parachutist Problem
- 📦 Data Types ▶
  - 🔢 int (integers)
  - 🔢 float (decimals)
  - 📝 str (strings)
  - ✓✗ bool (True/False)
- 🔤 Variables & Operators
- 🖨️ Print & Output ▶
  - 📄 Basic print()
  - 📄 f-strings
  - 📄 Formatting numbers
- 💬 Comments
- 🔀 Control Flow ▶
  - 🔀 If / Else ▶
    - → if statement
    - → if-else
    - → if-elif-else
  - 🔁 Loops ▶
    - → for loop
    - → while loop
    - → break & continue
- 📊 Data Structures ▶
  - 📋 list
  - 📋 tuple
  - 📋 dict (dictionary)
  - 📋 set
- 🔁 Iterators ▶
  - → range()
  - → enumerate()
  - → zip()
- ⌨️ User Input
- 🔧 Common Functions ▶
  - → len()
  - → sum()
  - → min() / max()
  - → sorted()
  - → abs() / round()
- ⚙️ Defining Functions ▶
  - → def statement
  - → Parameters
  - → return values
- 🔢 NumPy Basics ▶
  - ➕ Creating Arrays ▶
    - → np.array()
    - → np.zeros() / ones()
    - → np.linspace()
    - → np.arange()
  - ⚡ Operations ▶
    - → Element-wise math
    - → sum, mean, std
    - → Indexing & slicing
- ⚠️ Common Errors ▶
  - ❌ TypeError
  - ❌ NameError
  - ❌ IndexError
  - ❌ KeyError
  - ❌ SyntaxError

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