Revisiting Python's elegant List Comprehension feature

Write your first Python code in 30 seconds! ⏱️ Type: python -c "print('Hello, world!')" and hit Enter 💻 Follow for more beginner-friendly Python tips! Learn how to write your first Python program in just 30 seconds! ⏱️ Type this simple command in your terminal: python -c "print('Hello, world!')" And boom — your first line of Python prints on the screen! 💡 What you learned: How to open your terminal How to run a simple Python command What the print() function does Follow for more fast, beginner-friendly Python tutorials, coding tips, and AI project ideas! 🚀 👉 Next Video: [Install Python in 1 Minute 💻]#Python #LearnPython #PythonForBeginners #Coding #Programming #PythonShorts #CodeIn30Seconds #HelloWorld #Tech #Shorts #PythonTutorial #FastPython

The secret to Python's user-friendliness? It's the ABCs. 💡Before creating Python, Guido van Rossum was a contributor to the ABC language—a 10-year research project to design a programming environment for beginners. ABC introduced many ideas we now consider “Pythonic”: • generic operations on different types of sequences, • built-in tuple and mapping types, • structure by indentation, • strong typing without variable declarations, and more. It’s no accident that Python is so user-friendly. Python inherited from ABC the uniform handling of sequences. 👩🏻🏫Which of these Python features—like structure by indentation or strong typing—do you think has been the most impactful on the industry? 🏷️ #Python #Pythonic #Programming #CodeQuality #GuidoVanRossum #LanguageDesign #CleanCode #DeveloperInsights

🚀 Day 15 – Python Practice Problems Continuing my Python learning journey, today’s focus was on mastering List Comprehensions, Nested List Comprehensions, and Generators — three powerful tools that make Python code concise, efficient, and elegant. 🐍 🧩 Topics Covered: 1️⃣ List Comprehension Created a list of squares of numbers from 1 to 10. Generated a list of even numbers from 1 to 20 using a conditional expression. 2️⃣ Nested List Comprehension Built a 3x3 matrix using nested comprehensions. Modified it to display the square of each element. 3️⃣ Generators Implemented a generator function fibonacci(n) to yield the first n Fibonacci numbers efficiently. 💡 Key Learnings: List comprehensions simplify loops and enhance readability. Nested comprehensions make multi-dimensional structures easy to manage. Generators are memory-efficient and ideal for handling large data sequences. Each day of coding practice strengthens my understanding of Python and helps me write more elegant, optimized code. 💪 #100DaysOfCode #Python #LearningJourney #Day15 #ListComprehension #Generators #CodingPractice #Programming #CodeNewbie #DeveloperJourney

🚀 Day 15 – Python Practice Problems Continuing my Python learning journey, today’s focus was on mastering List Comprehensions, Nested List Comprehensions, and Generators — three powerful tools that make Python code concise, efficient, and elegant. 🐍 🧩 Topics Covered: 1️⃣ List Comprehension Created a list of squares of numbers from 1 to 10. Generated a list of even numbers from 1 to 20 using a conditional expression. 2️⃣ Nested List Comprehension Built a 3x3 matrix using nested comprehensions. Modified it to display the square of each element. 3️⃣ Generators Implemented a generator function fibonacci(n) to yield the first n Fibonacci numbers efficiently. 💡 Key Learnings: List comprehensions simplify loops and enhance readability. Nested comprehensions make multi-dimensional structures easy to manage. Generators are memory-efficient and ideal for handling large data sequences. Each day of coding practice strengthens my understanding of Python and helps me write more elegant, optimized code. 💪 #100DaysOfCode #Python #LearningJourney #Day15 #ListComprehension #Generators #CodingPractice #Programming #CodeNewbie #DeveloperJourney

🚀 Day 15 – Python Practice Problems Continuing my Python learning journey, today’s focus was on mastering List Comprehensions, Nested List Comprehensions, and Generators — three powerful tools that make Python code concise, efficient, and elegant. 🐍 🧩 Topics Covered: 1️⃣ List Comprehension Created a list of squares of numbers from 1 to 10. Generated a list of even numbers from 1 to 20 using a conditional expression. 2️⃣ Nested List Comprehension Built a 3x3 matrix using nested comprehensions. Modified it to display the square of each element. 3️⃣ Generators Implemented a generator function fibonacci(n) to yield the first n Fibonacci numbers efficiently. 💡 Key Learnings: List comprehensions simplify loops and enhance readability. Nested comprehensions make multi-dimensional structures easy to manage. Generators are memory-efficient and ideal for handling large data sequences. Each day of coding practice strengthens my understanding of Python and helps me write more elegant, optimized code. 💪 #100DaysOfCode #Python #LearningJourney #Day15 #ListComprehension #Generators #CodingPractice #Programming #CodeNewbie #DeveloperJourney

Every Wednesday in October we’ve been sharing our Spooky Movie Selector we created last year using Python. Today, we are going to share a Dev-Tip Tuesday shortcut within Python. List comprehensions For example if you write: new_list = [ ] for x in old_list: new_list.append(x * 2) You could instead write: new_list = [x * 2 for x in old_list] List comprehensions can make your code more readable and often run faster too. A small shortcut that adds up in larger scripts. What’s your favorite Python shortcut or trick that you find yourself using the most? Tune-in tomorrow as we share more from our Python Spooky Movie Selector! #Python #Coding #StructDevelopment #Developers #SoftwareDevelopment #ProgrammingTips #Coding #Tech

New Python Lesson is Out! | Easy Peasy Python – Lesson 17 Set Operations in Python (Part 1) 🐍 In this one, I break down how to add, remove, and update sets, basically all the fundamentals you’ll need before we move into unions, intersections, and differences in Part 2. If you’ve been following my Easy Peasy Python series, this one’s your next step. If you’re new, it’s a great place to hop in and start learning Python the simple way! 🎥 Watch now: https://lnkd.in/egWG95gX 💬 Let me know what concept you struggled with the most, I might cover it in an upcoming short! #Python #Programming #Learning #Education #PythonDeveloper #CodingJourney #EasyPeasyPython

🐍 Why I Love the Python Made Easy Cheat Sheet When learning Python, it’s easy to get overwhelmed by tutorials, syntax, and scattered notes. That’s why I built a Python Made Easy Cheat Sheet — a one-page guide to help learners understand Python faster and better. It summarizes all the essentials — from variables and loops to libraries and OOP concepts — so you can code confidently without flipping between tabs. Perfect for anyone diving into data science, automation, or web development. Simple. Practical. Beginner-friendly. 🎯 Learn smarter, not harder. #Python #LearningJourney #Programming #TechCommunity #DataScience #PythonCheatSheet #CareerGrowth

💻🐍 While playing around in Python today, I discovered a cool hidden gem! Type: import this (on your python terminal) And you’ll get “The Zen of Python” by Tim Peters — a collection of guiding principles for writing clean and readable Python code. ✨📜 Some of my favorites: “Simple is better than complex.” 🧩 “Readability counts.” 👀 “Now is better than never.” ⏰ It’s a great reminder that coding isn’t just about making things work — it’s about writing code that’s elegant, readable, and maintainable. 💡💻 Python really encourages simplicity, clarity, and thoughtfulness in every line we write. 🐍💛 #Python #Coding #CleanCode #SoftwareDevelopment #ProgrammingTips #DeveloperLife #TechFun

You might be writing too much code — and Python has been quietly laughing at you. 🐍 I recently discovered that some of Python’s most “boring” built-ins are actually genius shortcuts that can save you dozens of lines of code (and a few headaches). From simplifying loops to cleaning data in one line — these little functions do big magic. I broke down 7 underrated Python built-ins that every dev should know (but most ignore). 👉 Read it here: [https://lnkd.in/g5snHfYB] If you’ve ever thought “there must be an easier way to do this,” there probably is — and it’s already built into Python. 😉 #Python #Programming #SoftwareEngineering #Developers #CodingTips #PythonTips #DataScience #Automation #MediumWriters #LearningEveryday #CodeSmarter #TechCommunity #PythonProgramming #CleanCode