How to find missing and additional values in two lists using Python

Python Day 5 Tip: Difference Between append() and extend() Both are used to add elements to a list , but they work differently! # Example list1 = [1, 2, 3] list1.append([4, 5]) print(list1) #output is [1, 2, 3, [4, 5]] list1 = [1, 2, 3] list1.extend([4, 5]) print(list1) #output is [1, 2, 3, 4, 5] 1) append() adds the entire object as a single element. 2) extend() adds each element from the iterable individually. Tip: Use append() for single items and extend() for adding multiple items at once. #Python #30DaysOfpythonCode #PythonTips #Coding #FullStackDeveloper #LearnPython #PythonLearning

🚀 The 'in' Operator: Checking Membership in Data Structures (Python) The 'in' operator is used to check if a value exists within a data structure like a list, tuple, set, or dictionary. For lists and tuples, it checks if the value is present as an element. For sets, it provides efficient membership testing due to their underlying hash table implementation. For dictionaries, it checks if the value is present as a key. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Python Tip of the Day Ever wondered how to handle multiple conditions cleanly in one line? Check out this elegant one-liner that decides the discount type based on the customer’s tier 👇 # Decide discount type based on customer type customer = {"type": "Gold"} discount_type = (   "Platinum Discount" if customer["type"] == "Platinum"   else "Gold Discount" if customer["type"] == "Gold"   else "Silver Discount" if customer["type"] == "Silver"   else "Regular Discount" ) print(discount_type) 💡 Output: Gold Discount What’s Happening: Each condition is checked in order — Python picks the first one that’s true! It’s a clean way to replace multiple if-elif-else blocks when your logic is short and simple. #Python #CodingTips #SoftwareDevelopment #100DaysOfCode #PythonDeveloper #LearningPython

Python You have a list of numbers: ``` numbers = [1, 2, 3, 4, 5] ``` *Question:* Create a new list with the squares of each number. *Expected Output:* ``` [1, 4, 9, 16, 25] ``` *Python Code:* ``` squares = [x**2 for x in numbers] print(squares) ``` *Explanation:* – Uses list comprehension to iterate over `numbers` – Squares each element with `x**2` – Builds a new list with squared values

💡 Python Tip of the Day: Lambda Functions 1️⃣ Lambda functions are small, anonymous functions in Python. 2️⃣ They let you write quick, one-line functions without using def. 3️⃣ Useful for short tasks where defining a full function feels heavy. 4️⃣ Syntax: lambda arguments: expression. 5️⃣ Example — lambda a, b: a + b does the same as a regular add() function. 6️⃣ Ideal for use with map(), filter(), and sorted() functions. 7️⃣ Improves code readability when used wisely. 8️⃣ Avoid overusing — too many lambdas can reduce clarity. 9️⃣ Great for clean, concise, and functional-style Python code. 🔟 Keep learning one Python trick a day to write better, smarter code! 🚀 #Python #CodingTips #CleanCode #SoftwareEngineering #LearningInPublic #AbhishekPR

Test Python code not "by feel," but through three levels. First, unit tests for basic logic, then fixtures for the real environment (files, databases, HTTP mocks), and on top hypothesis for the automatic search for hidden bugs. This way, the tests will be short, and the coverage and reliability will be maximal. That is the goal of hypothesis. To learn more about hypothesis check the documentation here https://hypothesis.works/ Did you know it before for testing ? To discover more tips like this let connected :) #python #test #pytest #hypothesis #fastapi #django

Python Trick of the Day! 🐍 Let’s test your Python knowledge 👇 👉 What will be the output of this code? result = min(0.0, -0.0) print(result) At first glance, both 0.0 and -0.0 look identical… right? But Python’s floating-point arithmetic has a twist! 😯 💡 Hint: In IEEE 754 floating-point representation, -0.0 actually exists and is considered less than 0.0. ✅ So, the output will be: -0.0 📘 Concept takeaway: Even though 0.0 == -0.0 evaluates to True, they can behave differently in comparisons and certain mathematical operations. 🔹 These subtle details make Python fascinating and powerful to master! 🔹 Keep exploring small concepts — they often lead to deep understanding. #Python #Programming #Learning #Developers #CodingChallenge #PythonTips #DataScience #MachineLearning #AliAhmad #CodeWithAli

Friday brings #Python Let's talk about Protocol today. It allows you to have "duck typing". If an object has the required fields/methods, then the type checker keeps silent and no inheritance is required. It's a powerful thing to build interfaces. Take a look.

Is your Python code leaking resources? 🚰 Let's talk about going beyond with open(). We all use with open() for files. It's great! But what about your own resources? Database connections, temporary files, or custom states that need clean-up. This try...finally pattern works, but it's verbose and the clean-up logic is separated from the setup. #Python #ContextManager #SoftwareDevelopment #BestPractices #CodeQuality #PythonTips #CleanCode #PythonMagic

🐍 Python Tip — Access list items backward! Did you know you can access list items from the end using negative indexes? Example 👇 my_list = [“apple”, “banana”, “cherry”, “date”] print(my_list[-1])  # Output: date print(my_list[-2])  # Output: cherry 🧠 In Python, “-1” means “last item,” “-2” means “second-to-last,” and so on. This works for strings, tuples, and other sequences too! It’s a small trick — but once you start using it, you’ll never go back to writing “len(my_list) - 1” again 😄 #Python #CodingTips #LearnPython #ProgrammingFun #PythonTricks