Excited to share my latest tutorial: "Python Functions Part 2 (Advanced) | Function Arguments, *args, **kwargs Explained in Hindi" This project is part of our comprehensive Python series designed to enhance your programming skills with practical projects. Whether you are a beginner or looking to refine your coding abilities, this tutorial offers clear, step-by-step guidance. Explore the full video for detailed explanations, chapter breakdowns, and additional project insights. 🔗 Link: https://lnkd.in/gemNuURr #Python #Coding #PythonTutorialInHindi #PythonProgramming #CodingForBeginners
Python Functions Part 2 Tutorial in Hindi
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Day 16 of #WhatILearnedToday 🐍 Today I learned about Tuples in Python—an ordered and immutable data structure used to store multiple values. Unlike lists, tuples cannot be modified, which makes them ideal for protecting constant data and improving code safety. They’re lightweight, faster to access, and commonly used for fixed configurations, function returns, and data integrity. Understanding when to use lists vs tuples is an important step toward writing efficient Python code. 💬 Do you prefer tuples or lists—and why? #WhatILearnedToday #Python #Tuples #PythonBasics #Programming #LearningJourney #Upskilling #DeveloperGrowth
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Today I learned about List Comprehension in Python 🐍 List comprehension is a concise way to create lists using a single line of code. Instead of writing multiple lines with loops and conditions, we can write: 👉 the same logic 👉 in a cleaner 👉 and more readable format It helps in: ✅ Reducing code length ✅ Improving readability ✅ Writing Pythonic code ✅ Faster development Small feature, big impact on how clean your code looks. Learning one concept every day and building strong foundations in Python 🚀 #Python #DataScience #LearningInPublic #Programming #100DaysOfCode #CareerSwitch #Day2
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Day 18 of #WhatILearnedToday 🐍 Today I learned about Python Modules and Packages—how Python helps us organize code efficiently and reuse it across projects. 🔹 Modules allow us to split code into separate .py files 🔹 Packages help group related modules using a directory structure This approach improves readability, maintainability, and scalability, especially when working on larger applications. Understanding imports, built-in modules, and third-party packages made my Python learning feel more structured and professional. Writing clean code isn’t just about logic—it’s also about organization 📦 💬 Which Python module or package do you use the most? #WhatILearnedToday #Python #Modules #Packages #PythonLearning #Programming #CleanCode #DeveloperJourney #Upskilling
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Python: HowTos: Perform a Set Difference or Find Missing Items in a List Here’s a beginner-friendly example. #python #pythonhowtos #programming #technology #setdifference https://lnkd.in/e2uJqVFV https://lnkd.in/eBNYidTP
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Python Foundations 2026 – Part 5 Programming becomes powerful when code can make decisions. In Part 5 of our Python Foundations 2026 series, we explore: • if statements • elif for multiple conditions • else for fallback logic This is how Python decides what to do based on different situations—just like real life. If you understand conditional logic, you move from writing static scripts to building responsive programs. Python Foundations → Wednesdays Other tech articles → Mondays Next up: Working with lists and strings. Learn more: https://lnkd.in/exdQyX2k #Python #LearnToCode #Programming #BeginnersInTech #TechEducation #Python2026 #JMSM #KNKA
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Python isn’t popular by accident , it’s powerful because of its simplicity and flexibility. Here’s a quick breakdown of the Top 7 Python data types every developer should master, from handling numbers and strings to structuring real-world data with lists, tuples, and dictionaries. At CourseCode, we focus on teaching Python the right way: ➡️ fundamentals first ➡️ practical examples ➡️ real-world application Whether you’re sharpening your skills or building production-ready systems, mastering data types is non negotiable. 🚀 Learn smart. Build better. 🔗 Project link: [ https://lnkd.in/dFSgX4f6 ] #Python #SoftwareEngineering #Programming #DataTypes #CourseCode #TechEducation
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Small steps in learning Python Built a Tic-Tac-Toe game using Python & Tkinter. Applied Python basics like loops, conditions, functions, and lists, and created a simple GUI using Tkinter. Includes Two Player and Computer vs Player modes with basic game logic. 🔗 GitHub: https://lnkd.in/gYKWBt7D #Python #Tkinter #PythonProjects #Learning
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Today I learned about Conditional Statements in Python 🐍 Conditional statements help the program make decisions. They allow Python to run different code based on different conditions. The basics: • if – when the condition is true • elif – when the previous condition is false but this one is true • else – when none of the above are true This is how real-world logic is written in code: 👉 If marks > 90 → Grade A 👉 Else if marks > 75 → Grade B 👉 Else → Keep improving Simple concept, but very powerful for building real applications. Learning step by step. One concept at a time 💪 #Python #DataScience #LearningInPublic #Programming #100DaysOfCode #CareerSwitch
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Learning Python: Today’s Lesson on User Input Validation Today, while working on a Python project involving conditional statements, logical operators, nested if blocks, and the modulo operator, I encountered a ValueError. The issue was simple but important: Python’s int() function cannot process numbers entered with commas (e.g., 250,000). Instead of treating it as a setback, I learned a key real-world lesson: User input is unpredictable, and good programs must account for that. I solved the problem by sanitizing the input before conversion, allowing the program to handle values like 250,000 or 1,000,000 safely. This reinforced an important principle in software development: Writing code is not just about making it work, but making it resilient. Still pushing forward with my learning and building better habits one project at a time. #Python #LearningInPublic #100DaysOfCode #SoftwareDevelopment #TechJourney #ProgrammingBasics #ProblemSolving
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Stop writing extra lines! Master these Python methods to do more with less code. 💡 Python list and dictionary methods that will save you time and prevent errors. 🔧🚀 From .append() to .get() — essential Python tricks every developer should have in their toolkit. #Python #PythonProgramming #CodingTips #LearnPython #Programming #CodeNewbie #Developer #PythonTips #ProgrammingLife #CodingLife #SoftwareDevelopment #Tech #DataScience #Automation #100DaysOfCode #PythonCode #PythonLearning #CodingForBeginners #DevCommunity #TechTips #Day16
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