Python Tips and Tricks You Didn’t Know You Needed: Boost Your Python Skills

Debugging Tips & Cool Features & More Handy Tricks

1. Use pdb for Debugging

import pdb; pdb.set_trace()

2. Print Formatted JSON

import json
print(json.dumps(my_dict, indent=4))

3.Use assert Statements for Quick Testing

assert my_func() == expected_value

4. Use try-except to Handle Exceptions Gracefully

try:
    x = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero")

5. Log Messages with logging Module

import logging
logging.basicConfig(level=logging.DEBUG)

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Cool Features

1. Use dataclasses for Class Boilerplate Reduction (Python 3.7+)

from dataclasses import dataclass
@dataclass
class Car:
    make: str
    model: str

2. Convert Lists into a Dictionary

keys = ['a', 'b']
values = [1, 2]
my_dict = dict(zip(keys, values))

3. Use partial for Pre-Setting Function Arguments

from functools import partial
def multiply(x, y):
    return x * y
double = partial(multiply, 2)

4. Generate Random Choices with random.choice

import random
choice = random.choice(my_list)

5.Find the Most Frequent Element with max and count

most_frequent = max(set(my_list), key=my_list.count)

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More Handy Tricks

1.Filter Elements with filter()

evens = list(filter(lambda x: x % 2 == 0, my_list))

2. Map and Apply Functions to Elements

squared = list(map(lambda x: x**2, my_list))

3. Flatten Nested Lists with sum()

flattened = sum(nested_list, [])

4. Download Files Using requests

import requests
r = requests.get('https://example.com')

5. Use any() and all() for Logical Checks

if any([a > 5 for a in my_list]):
    print("There’s a value greater than 5.")

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