🚀 #100DaysOfPython – Day 4: map(), filter(), reduce() These are powerful functional tools in Python 👇 👉 map() – transform nums = [1, 2, 3] squares = list(map(lambda x: x*x, nums)) 👉 filter() – select evens = list(filter(lambda x: x % 2 == 0, nums)) 👉 reduce() – accumulate from functools import reduce total = reduce(lambda a, b: a + b, nums) 💡 But in real-world Python? List comprehensions are often preferred for readability. 🔍 My takeaway: Understand these concepts—but choose readability over cleverness. #Python #FunctionalProgramming #100DaysOfCode
Mamundeeswari Ganesan’s Post
More Relevant Posts
-
🚀 #100DaysOfPython – Day 1: List Comprehension Starting my Python journey by revisiting one of the most elegant features in Python – List Comprehension. 👉 It provides a concise way to create lists. Instead of writing: squares = [] for i in range(5): squares.append(i*i) You can simply write: squares = [i*i for i in range(5)] ✨ Cleaner ✨ More readable ✨ More Pythonic 💡 You can also add conditions: even_squares = [i*i for i in range(10) if i % 2 == 0] 📌 Why it matters? - Reduces lines of code - Improves readability (when used correctly) - Widely used in real-world Python codebases 🔍 My takeaway: List comprehensions are powerful, but overusing them can hurt readability. Keep them simple! #Python #CodingJourney #LearnPython #100DaysOfCode #WomenInTech
To view or add a comment, sign in
-
A small yet confusing mistake made with Python 🐍 You may think you’re creating a tuple here: x = (5) But you’re not ✖️ This is simply an integer. ❓ Why? Because in Python, ⭐ tuple creation involves a comma, not parentheses alone ✔️ The right way to do it: x = (5,) Now it’s a tuple. Even like this works: x = 5, ❓ Simple rule of thumb: Brackets only group items, but the comma makes it a tuple. Tiny point — but crucial! #Python #CodeTutorials #ProgrammingMistakes #CodingForNewbies #DevTips #100DaysOfCode #PythonTips #ProgrammingTips
To view or add a comment, sign in
-
-
Rules for declaring python veriables:- 1) Must start with letters (a-z, A-Z) or underscore _ 2)Must not start with numbers (1 to .... ) 3) Variables are case sensitive ( python and Python both are different) 4) We cannot use keywords as variables ( if, def, while ...) Variable declaration is main part of any program. First impression will be starting with it, so while declaring variables need to take care. #python #learn #fast #beginner #automation
To view or add a comment, sign in
-
👉 We all use quotes in Python… But do you know when to use: ' vs " vs '''? Most beginners just use them randomly. Here’s the simple rule 👇 # Single quotes → simple text name = 'Ali' # Double quotes → when text has ' msg = "It's a good day" # Triple quotes → multi-line / docstrings text = '''This is multi-line text''' That’s it. No confusion. No overthinking. --- 💡 Good code is not just about working… It’s about being clear and readable. --- Do you follow this… or just use quotes randomly? #Python #LearnPython #CodingBasics #ProgrammingConcepts #PythonTips #CodeClarity #CleanCode #LearnWithMe #strings
To view or add a comment, sign in
-
-
There is an important python concept hidden here , can you guess what ? class Hai: def show(self,a,b): print('Hai - show()') print(a,b) class Hello(Hai): def show(self,a): print('Hello - show()') print(a) hello = Hello() hello.show(10) hello.show(10,20) #python
To view or add a comment, sign in
-
Most beginners learn Python the wrong way… They consume content. But they don’t build. Day 18 of showing up — built a quiz game in Python. Core idea: Take user input → validate answers → track score. Sounds simple. But here’s what actually mattered 👇 • Logic > syntax Writing multiple if/else blocks trained me to think step-by-step • Small details = big impact Using .lower() made the program more user-friendly • Repetition isn’t boring — it’s leverage Same structure, different questions → patterns became obvious At first, it felt repetitive. Almost too basic. Then it clicked — this is exactly how real understanding is built. Not by jumping ahead. But by going through it. No skipping fundamentals. Just consistent execution. If you’ve built something similar, what would you improve in this approach? Or what’s one concept you think I should go deeper into next?
To view or add a comment, sign in
-
-
Python Empty Collections — Common Mistake [] # List () # Tuple {} # Dictionary (NOT a set) set() # Set Trick to Remember: 👉 {} = key:value → dictionary 👉 set() = only way to make empty set Example type({}) # dict type(set()) # set If you remember just this: “Curly braces empty = dict, not set” You’ll never make this mistake again. Source: https://lnkd.in/d8sbr7gc #Python
To view or add a comment, sign in
-
Most Python beginners don’t use this simple function. len() It looks small. But it’s very powerful. You can use it to find the length of: 👉 Strings 👉 Lists 👉 Tuples 👉 Dictionaries Example: text = "Python" print(len(text)) # Output: 6 numbers = [10, 20, 30] print(len(numbers)) # Output: 3 Instead of manually counting… Let Python do the work. 👉 Did you know about this function before? #Python #BluJayTechnologies #SoftwareTraining #Learning
To view or add a comment, sign in
-
-
Python Practice: Split & Join Strings I recently solved a basic yet important problem from HackerRank using Python. Problem: Given a string of space-separated words, split the string and join the words using a hyphen (-). Solution: def split_and_join(line): words = line.split(" ") # split string into list result = "-".join(words) # join list with hyphen return result if __name__ == '__main__': line = input() result = split_and_join(line) print(result) Key Concepts: split() → Converts a string into a list join() → Combines list elements into a string Clean function design for reusability if __name__ == '__main__' for proper execution structure Example: Input: this is a string Output: this-is-a-string What I learned: Even simple problems help build strong fundamentals in string manipulation and writing clean, structured Python code. #Python #CodingPractice #HackerRank #Programming #100DaysOfCode #LearningJourney
To view or add a comment, sign in
-
✅ Python: 04 🎯 Nested loops Let's share an interesting concept of python. we've this concept called nested loop, here we can use one loop inside of an another loop. We can get some interesting results. Let's take a look- for x in range(2): # outer loop for y in range(3): # inner loop print(f"({x} , {y})") # for co-ordinates 📌Code explanation: The outer loop will be executed 2 times & the inner loop will be executed 3 times, To begin with, the python interpreter will execute the outer loop first then it'll go to the inner loop and execute codes as follows, then it'll print as commanded and then jumps into the outer loop again, this will continue as per the range mentioned in the code. That's how nested loop works. #PythonProgramming #PythonDeveloper #Coding #python #nestedloopinpython #DataScience #pythondeveloper
To view or add a comment, sign in
-
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development
https://www.learnpython.org/en/Map%2C_Filter%2C_Reduce