Python CookBook

Sure, here are some fundamental Python “recipes” you might find useful.

Reading a File

python

with open('myfile.txt', 'r') as f:

    data = f.read()

Writing to a File

python

with open('myfile.txt', 'w') as f:

    f.write("Hello, world!")

Sorting a List of Dictionaries by a Common Key

python

from operator import itemgetter

list_of_dicts = [{'name': 'John', 'age': 25}, {'name': 'Jane', 'age': 23}, {'name': 'Dave', 'age': 30}]

sorted_list = sorted(list_of_dicts, key=itemgetter('age'))

Creating a Dictionary from Two Lists

python

keys = ['name', 'age', 'job']

values = ['John', 25, 'developer']

dict_from_lists = dict(zip(keys, values))

Catching Exceptions

python

try:

    # risky operation

    risky_operation()

except Exception as e:

    print(f"Caught an exception: {e}")

Creating a Function with Optional Arguments

python

def my_function(a, b, c=None):

    if c is None:

        c = []

    # do something

Iterating Over a List with Indices

python

my_list = ['apple', 'banana', 'cherry']

for i, value in enumerate(my_list):

    print(f"Item {i} is {value}")

List Comprehensions

python

squares = [x**2 for x in range(10)]

Lambda Functions

python

f = lambda x: x**2

print(f(5))  # prints 25

Filtering Items in a List

python

my_list = [1, 2, 3, 4, 5]

filtered_list = list(filter(lambda x: x % 2 == 0, my_list))  # [2, 4]

Using map to Apply a Function to All Items in a List

python

my_list = [1, 2, 3, 4, 5]

squared_list = list(map(lambda x: x**2, my_list))  # [1, 4, 9, 16, 25]

Remember that Python is a highly flexible language, and there are often many ways to achieve the same result. These are some idiomatic examples, but other approaches could also be valid.

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