🎯 Tech Learning Journey - Day 06: Python List Comprehensions - Write Less, Do More! List comprehensions are a shortcut for creating lists in Python. Instead of writing multiple lines with loops, you can build a new list in just one clean line that reads like English. # Traditional way \(takes 3 lines\) squares = \[\] for num in range\(5\): squares.append\(num \*\* 2\) # List comprehension \(1 line!\) squares = \[num \*\* 2 for num in range\(5\)\] Where I use this: Transforming data, filtering lists, and making my code shorter and more readable. #Python #Coding #Programming #ListComprehensions
Python List Comprehensions Simplify Code
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🚀 Today I Learned: Python Lists Continuing my Python journey, today I explored one of the most important concepts — Lists. 🔹 What I learned: - Creating lists to store multiple values - Accessing items using index - Adding & removing elements (append, insert, remove, pop) - Updating list values - Using loops to iterate through a list 🔹 Small practice: I created a list of numbers and calculated the average using Python. 💡 Lists are very useful in real-world projects for handling data efficiently. I’m excited to keep learning and building more with Python every day! #Python #LearningJourney #Coding #Programming #Beginners #100DaysOfCode
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🔁 Python Revision – Lists & List Comprehension Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ Lists (creation, indexing, slicing) ✔️ List methods (append, remove, sort, etc.) ✔️ Iterating through lists ✔️ List Comprehension Practiced working with lists to store and manipulate data efficiently, and explored list comprehension for writing cleaner and more concise code. Documented my practice in a Python Notebook and shared it as a PDF to track my progress. Learning how to handle data in Python step by step 📊 #Python #Revision #Lists #ListComprehension #Programming #DataAnalytics #LearningJourney
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📘 Python Learning – Day 8 Highlights 🐍 Today’s class was about writing smarter and more flexible functions 👇 🔹 Variable Scope & LEGB Rule: Learned how Python searches variables → Local → Enclosing → Global → Built-in 🔹 Local vs Global Variables: Understanding where variables can be accessed and used 🔹 Advanced Arguments: ✔ *args → handles multiple positional arguments (as tuple) ✔ **kwargs → handles keyword arguments (as dictionary) 🔹 Flexible Functions: Created functions that can take unlimited inputs and return dynamic results 💡 Example: def add(*args): return sum(args) Step by step, moving towards writing more professional Python code 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills
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🚀 **Day 4 of My Python Learning Journey** Today, I learned about **Python Operators**, which are used to perform different types of operations on variables and values. This learning is part of a **Skill Course**, guided by **Mr. Satish Dhawale**. The concepts were explained in a clear and simple way. 🔹 Key Takeaways: * Arithmetic operators (+, -, *, /, %) * Comparison operators (==, !=, >, <) * Logical operators (and, or, not) * Assignment operators (=, +=, -=) * Understanding how operators work in expressions Continuing to build my fundamentals and moving one step ahead in my Python journey. #Python #LearningJourney #Programming #SkillCourse #Day4 #Coding #DataAnalytics
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💡 Did you know there’s a data type in Python that cannot be changed once created? That’s where Tuples come in 👇 While learning Python, I explored Tuples — simple, yet powerful. ✔️ Ordered ✔️ Immutable ✔️ Can store multiple data types Tuples are especially useful when you want your data to remain safe and unchanged throughout your program. I’ve explained this concept in a simple and beginner-friendly way with examples! 👉 Check out my Medium post: 🔗 https://lnkd.in/gkkPuVuq Would really appreciate your feedback 🙌 #Python #Coding #Programming #Beginners #LearningJourney #Tech
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Practicing Python – Building a Simple Calculator As part of my Python learning journey, I practiced building a simple calculator program using functions. This project was implemented while following tutorials from Satish Dhawale. While watching the lesson, I tried to code along and understand how functions work in Python. Through this small exercise, I learned: 🔹 How to create and use functions 🔹 Handling user input 🔹 Using conditional statements 🔹 Writing cleaner and reusable code The calculator can perform operations like addition, subtraction, multiplication, division, and average calculation. Even though it’s a beginner-level project, it helped me understand how programming logic works. I’m continuing to practice more projects to strengthen my Python and data analytics skills. 💻 Learning one concept at a time and applying it through practice. #Python #LearningPython #CodingPractice #Programming #DataAnalytics #LearningJourney #BeginnerProgrammer
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📘 Python Learning – Day 7 Highlights 🐍 Today’s class was all about improving coding efficiency and writing cleaner Python code 👇 🔹 Loops Revision: Practiced for & while loops with real examples 🔹 Loop Control: Used break, continue, and enumerate() for better control 🔹 List Comprehension: Learned a shorter, more Pythonic way to create lists in one line 🔹 Functions Basics: ✔ Reusable code using def ✔ Passing arguments & returning values 🔹 Utility Functions: Small, reusable functions for common tasks (like even/odd check, calculator, etc.) 💡 Example: [x**2 for x in range(1,6)] → creates squares in one line Writing cleaner, smarter, and more efficient code step by step 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills
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🚀 Python Learning Journey – Small Concept, Big Clarity! 💠 I learned a small but interesting concept today 👇 👍 Let’s Test Your Logic !!!!! 🤔How to find the 2nd occurrence of a character in a string 🔸Let’s try a quick challenge: 📌 Consider this string: "pythonn" ❓ Question: What is the position of the second occurrence of "n"? 🤔 Take a moment and guess before you look below… 💡 Here’s the Python logic: a = "pythonn" b = a.find("n") print(a.find("n", b+1)) 👇 Drop your answer in the comments! I’ll share the correct answer soon 😉 #Python #CodingChallenge #LearningJourney #Beginners #Programming #WomenInTech
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📘 Today’s Learning: Python Lists 🐍 Today I explored one of the most important concepts in Python — Lists — guided by Satish Dhawale Sir from SkillCourse. 🔹 I learned how to: Create and store multiple values in a list Access elements using indexing Use loops to iterate through list items Modify and update list values Extract specific parts of data (like years from strings) 💡 One interesting practice I did was extracting years from product codes like "Laptop-2024" using slicing. It helped me understand how powerful lists and strings can be together. Consistent learning step by step is helping me build a strong foundation in Python and move closer to my goal in Data Analytics 🚀 #Python #PythonLearning #DataAnalytics #Programming #CodingJourney #SkillCourse #SatishDhawale #LearnToCode #BeginnerToPro #TechSkills #FutureReady
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📚 Continuing my Python learning journey Today I completed learning three important Python data structures: tuples, sets, and dictionaries. 🔑 Key concepts I explored: • Tuples – ordered, immutable collections used for fixed data • Sets – unordered collections with unique elements, useful for removing duplicates and fast lookups • Dictionaries – key-value pairs for storing and accessing structured data efficiently Understanding the differences between these data structures helped me see when and why to use each one in real-world scenarios. It’s interesting how each structure is designed for a specific purpose, making Python both powerful and flexible. Step by step, I’m building a stronger foundation in Python programming and problem-solving. 🚀 #Python #Programming #LearningJourney #ComputerScience #Coding
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