Nested If Statements
Code Readability and Refactoring
Goal: Improve understanding and maintainability of Python code.
Key Aspects:
- Meaningful Names: Use descriptive variable, function, and class names. Avoid abbreviations unless widely understood within the context.
# Good
user_name = "Bob"
calculate_average(scores)
# Bad
un = "Bob" # What does 'un' mean?
calcAvg(s) # too cryptic
- Consistent Formatting: Follow PEP 8 style guide (PEP 8 Style Guide) for indentation, line length, spacing etc. Use a linter (like
pylint
orflake8
) to enforce consistency (Linters and Static Analysis)
# Good (PEP 8 compliant)
def my_function(param1, param2):
"""Docstring explaining the function."""
result = param1 + param2
return result
# Bad (inconsistent indentation and naming)
def myfunction(param1,param2):
result=param1+param2
return result
- Comments: Add comments to explain complex logic or non-obvious parts of the code, but avoid commenting obvious code. ( Effective Commenting)
# Good comment
# This section handles the complex calculation of the Fibonacci sequence
fibonacci_numbers = calculate_fibonacci(n)
# Bad comment - obvious code
# Add x and y
z = x + y
- Functions and Modules: Break down large tasks into smaller, well-defined functions. Organize related functions into modules for better organization. (Modular Design in Python)
# Good - Modular approach
# module_a.py
def function_a():
pass
# module_b.py
def function_b():
pass
# main.py
import module_a
import module_b
module_a.function_a()
module_b.function_b()
# Bad - everything in one file
def function_a():
pass
def function_b():
pass
def function_c():
pass
function_a()
function_b()
function_c()
-
Refactoring Techniques:
- Extract Method: Move a block of code into a separate function.
- Rename Method/Variable: Improve clarity of names.
- Move Method: Relocate a method to a more appropriate class.
- Introduce Explaining Variable: Create a variable to represent a complex expression.
- Consolidate Conditional Expression: Simplify nested
if/else
statements.
-
Testing: Write unit tests to ensure code correctness and prevent regressions during refactoring (Unit Testing in Python)
-
Code Reviews: Have another developer review your code for readability and potential issues.