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9f07177 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 | # Python Programming Examples and Patterns
## Basic Data Structures
### List Comprehensions
# Traditional way
squares = []
for i in range(10):
squares.append(i**2)
# List comprehension
squares = [i**2 for i in range(10)]
even_squares = [i**2 for i in range(10) if i % 2 == 0]
### Dictionary Comprehensions
# Create dictionary from lists
names = ['Alice', 'Bob', 'Charlie']
ages = [25, 30, 35]
people = {name: age for name, age in zip(names, ages)}
# Filter dictionary
adults = {name: age for name, age in people.items() if age >= 18}
## Object-Oriented Programming
### Class with Properties
class Student:
def __init__(self, name, age):
self._name = name
self._age = age
@property
def name(self):
return self._name
@name.setter
def name(self, value):
if not isinstance(value, str):
raise ValueError("Name must be a string")
self._name = value
@property
def age(self):
return self._age
@age.setter
def age(self, value):
if not isinstance(value, int) or value < 0:
raise ValueError("Age must be a positive integer")
self._age = value
### Singleton Pattern
class DatabaseConnection:
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super().__new__(cls)
cls._instance.connection = None
return cls._instance
def connect(self):
if not self.connection:
self.connection = "Connected to database"
return self.connection
## Functional Programming
### Higher-Order Functions
def apply_operation(func, numbers):
return [func(num) for num in numbers]
def square(x):
return x ** 2
def cube(x):
return x ** 3
# Usage
numbers = [1, 2, 3, 4, 5]
squared = apply_operation(square, numbers)
cubed = apply_operation(cube, numbers)
### Lambda Functions
# Simple lambda
add = lambda x, y: x + y
# Lambda with map
numbers = [1, 2, 3, 4, 5]
doubled = list(map(lambda x: x * 2, numbers))
# Lambda with filter
evens = list(filter(lambda x: x % 2 == 0, numbers))
## Error Handling
### Context Managers
class FileManager:
def __init__(self, filename, mode):
self.filename = filename
self.mode = mode
self.file = None
def __enter__(self):
self.file = open(self.filename, self.mode)
return self.file
def __exit__(self, exc_type, exc_val, exc_tb):
if self.file:
self.file.close()
# Usage
with FileManager('test.txt', 'w') as f:
f.write('Hello, World!')
### Custom Exceptions
class ValidationError(Exception):
def __init__(self, message, field=None):
self.message = message
self.field = field
super().__init__(self.message)
def validate_email(email):
if '@' not in email:
raise ValidationError("Invalid email format", "email")
if '.' not in email.split('@')[1]:
raise ValidationError("Invalid domain", "email")
return True
## Data Processing
### CSV Processing
import csv
def read_csv_data(filename):
data = []
with open(filename, 'r') as file:
reader = csv.DictReader(file)
for row in reader:
data.append(row)
return data
def write_csv_data(filename, data, fieldnames):
with open(filename, 'w', newline='') as file:
writer = csv.DictWriter(file, fieldnames=fieldnames)
writer.writeheader()
writer.writerows(data)
### JSON Processing
import json
def load_json_config(filename):
try:
with open(filename, 'r') as file:
return json.load(file)
except FileNotFoundError:
return {}
except json.JSONDecodeError:
return {}
def save_json_config(filename, data):
with open(filename, 'w') as file:
json.dump(data, file, indent=2)
## Algorithm Implementations
### Binary Search
def binary_search(arr, target):
left, right = 0, len(arr) - 1
while left <= right:
mid = (left + right) // 2
if arr[mid] == target:
return mid
elif arr[mid] < target:
left = mid + 1
else:
right = mid - 1
return -1
### Quick Sort
def quicksort(arr):
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
middle = [x for x in arr if x == pivot]
right = [x for x in arr if x > pivot]
return quicksort(left) + middle + quicksort(right)
## Web Development
### Flask Route Example
from flask import Flask, request, jsonify
app = Flask(__name__)
@app.route('/api/users', methods=['GET'])
def get_users():
users = [
{'id': 1, 'name': 'Alice', 'email': 'alice@example.com'},
{'id': 2, 'name': 'Bob', 'email': 'bob@example.com'}
]
return jsonify(users)
@app.route('/api/users', methods=['POST'])
def create_user():
data = request.get_json()
if not data or 'name' not in data or 'email' not in data:
return jsonify({'error': 'Missing required fields'}), 400
# Process user creation
new_user = {
'id': 3, # In real app, generate unique ID
'name': data['name'],
'email': data['email']
}
return jsonify(new_user), 201
## Testing
### Unit Test Example
import unittest
class Calculator:
def add(self, a, b):
return a + b
def subtract(self, a, b):
return a - b
def multiply(self, a, b):
return a * b
def divide(self, a, b):
if b == 0:
raise ValueError("Cannot divide by zero")
return a / b
class TestCalculator(unittest.TestCase):
def setUp(self):
self.calc = Calculator()
def test_add(self):
self.assertEqual(self.calc.add(3, 5), 8)
self.assertEqual(self.calc.add(-1, 1), 0)
def test_divide_by_zero(self):
with self.assertRaises(ValueError):
self.calc.divide(10, 0)
if __name__ == '__main__':
unittest.main()
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