20 Practical Python Tips and Tricks for Everyday Coding
This article presents a curated list of twenty practical Python tricks—including string reversal, title casing, unique element extraction, list multiplication, dictionary merging, timing code execution, and more—each explained with concise descriptions and ready‑to‑run code examples to help developers write cleaner and more efficient Python code.
Python is a versatile, easy‑to‑read programming language; this article presents a collection of practical Python tricks to improve coding efficiency.
1. Reverse a string
# Reversing a string using slicing
my_string = "ABCDE"
reversed_string = my_string[::-1]
print(reversed_string) # EDCBA2. Convert a string to title case
my_string = "my name is chaitanya baweja"
new_string = my_string.title()
print(new_string) # My Name Is Chaitanya Baweja3. Find unique characters in a string
my_string = "aavvccccddddeee"
temp_set = set(my_string)
new_string = "".join(temp_set)
print(new_string)4. Repeat a string or list n times
n = 3
my_string = "abcd"
my_list = [1,2,3]
print(my_string * n) # abcdabcdabcd
print(my_list * n) # [1,2,3,1,2,3,1,2,3]5. Create a list of zeros
n = 4
my_list = [0] * n
print(my_list) # [0, 0, 0, 0]6. List comprehension to double each element
original_list = [1,2,3,4]
new_list = [2*x for x in original_list]
print(new_list) # [2,4,6,8]7. Swap values of two variables
a = 1
b = 2
a, b = b, a
print(a) # 2
print(b) # 18. Split a string into a list of substrings
string_1 = "My name is Chaitanya Baweja"
print(string_1.split()) # ['My', 'name', 'is', 'Chaitanya', 'Baweja']
string_2 = "sample/ string 2"
print(string_2.split('/')) # ['sample', ' string 2']9. Join a list of strings into a single string
list_of_strings = ["My", "name", "is", "Chaitanya", "Baweja"]
result = ",".join(list_of_strings)
print(result) # My,name,is,Chaitanya,Baweja10. Check if a string is a palindrome
my_string = "abcba"
if my_string == my_string[::-1]:
print("palindrome")
else:
print("not palindrome")11. Count frequency of elements in a list
from collections import Counter
my_list = ['a','a','b','b','b','c','d','d','d','d','d']
count = Counter(my_list)
print(count) # Counter({'d':5, 'b':3, 'a':2, 'c':1})
print(count['b']) # 3
print(count.most_common(1))# [('d', 5)]12. Find if two strings are anagrams
from collections import Counter
str_1, str_2, str_3 = "acbde", "abced", "abcda"
cnt_1 = Counter(str_1)
cnt_2 = Counter(str_2)
cnt_3 = Counter(str_3)
if cnt_1 == cnt_2:
print("1 and 2 are anagrams")
if cnt_1 == cnt_3:
print("1 and 3 are anagrams")13. Use try‑except‑else‑finally for error handling
a, b = 1, 0
try:
print(a / b)
except ZeroDivisionError:
print("division by zero")
else:
print("no exceptions raised")
finally:
print("Run this always")14. Enumerate a list to get index‑value pairs
my_list = ['a','b','c','d','e']
for index, value in enumerate(my_list):
print(f"{index}: {value}")
# 0: a
# 1: b
# 2: c
# 3: d
# 4: e15. Check memory usage of an object
import sys
num = 21
print(sys.getsizeof(num)) # 28 in Python 316. Merge two dictionaries
dict_1 = {"apple": 9, "banana": 6}
dict_2 = {"banana": 4, "orange": 8}
combined_dict = {**dict_1, **dict_2}
print(combined_dict) # {'apple': 9, 'banana': 4, 'orange': 8}17. Measure execution time of a code block
import time
start_time = time.time()
# code to measure
a, b = 1, 2
c = a + b
end_time = time.time()
time_taken_us = (end_time - start_time) * 1_000_000
print(f"Time taken: {time_taken_us} µs")18. Flatten a nested list
# Simple one‑level flatten
flatten = lambda l: [item for sublist in l for item in sublist]
l = [[1,2,3],[3]]
print(flatten(l)) # [1, 2, 3, 3]
# Deep flatten using iteration_utilities
from iteration_utilities import deepflatten
l = [[1,2,3],[4,[5],[6,7]],[8,[9,[10]]]]
print(list(deepflatten(l, depth=3))) # [1,2,3,4,5,6,7,8,9,10]19. Randomly sample elements from a list
import random
my_list = ['a','b','c','d','e']
samples = random.sample(my_list, 2)
print(samples) # e.g., ['a', 'e']20. Check if all elements in a list are unique
def unique(l):
if len(l) == len(set(l)):
print("All elements are unique")
else:
print("List has duplicates")
unique([1,2,3,4]) # All elements are unique
unique([1,1,2,3]) # List has duplicatesSigned-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Python Programming Learning Circle
A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
