Day 6 Update: **Mastering Dictionaries in Python!** I'm excited to share that I've just wrapped up an amazing session on Dictionaries in Python! 📚 **What did I learn?** Dictionary Basics: I discovered how dictionaries store data in key-value pairs, making it easy to look up values using unique and immutable keys. Key Takeaways: • How to create a dictionary • Accessing elements in a dictionary • Modifying elements in a dictionary • Dictionary methods • Iterating over dictionaries • Nested Dictionaries • Dictionary comprehension • Merging dictionaries 🎥 I created a video showcasing my skills in this module! Click the link below to watch full video: https://lnkd.in/ey76FMx8 Let's connect and learn together! 💻 #PythonProgramming #DictionariesInPython #DataStructures #CodingSkills #LearningJourney #PythonForBeginners #TechEnthusiast #ProgrammingCommunity
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🟨 Day 08 – Python Practice: Leveling Up with Functions! 🟨 Today, I tackled three key concepts in Python by solving practical problems in a single, integrated program: 🔹 Default Arguments – Built a calculator that adds and subtracts values, with smart defaults when no second number is given. 🔹 *args (Variable-Length Arguments) – Wrote a function to compute total and average marks, no matter how many scores are entered. 🔹 **kwargs + Lambda – Created a dynamic profile card using keyword arguments and used a lambda function to square the user’s age! 📌 Key Takeaways: ✅ Improved my understanding of Python function parameters ✅ Practiced code reusability and readability ✅ Combined logic cleanly in a single script 🚀 Small steps like this are building my confidence one line of code at a time! #100DaysOfCode #Python #LearningByDoing #FunctionArguments #LambdaFunctions #CodeNewbie #DevJourney #PythonPractice #Day08
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💻 Exploring Python’s zip() Function! 🐍 In this snippet, I used the zip() function to combine multiple lists — names, marks, and departments — into a single dictionary. It’s a simple yet powerful way to handle grouped data efficiently. 📘 Concepts used: ➡️ zip() function ➡️ Type conversion using dict() ➡️ Nested zipping for multiple lists Always fun to see how Python makes data handling so elegant and readable! ✨ #Python #Coding #Programming #Learning #DataHandling #zipfunction @10000coders @batula venkata narayana
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Day 7 Update: Getting started with Functions I just learned about functions in Python. A function is a block of code that performa a specific task. Majorly, it helps break a big program into small, understandable pieces and hides complex steps behind a simple name. I learned how to: • Create a function • Use return statements • Call a function • Set default values and • handle variable inputs (variable-length arguments) In the video below👇I showcasing the practical examples of all I was thought. Click on the link to watch full video👇 https://lnkd.in/eNuhW2_3 #PythonProgramming #LearnToCode #CodingSkills #PythonForBeginners #FunctionsInPython #ProgrammingTips
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👋 Welcome back, everyone! Let’s continue our Python learning journey 🚀 Today, we’ll dive into some core basics: Variables, Data Types, Input/Output, and Comments — the foundation of every Python program! Swipe 👉 to learn with simple examples and to understand how Python handles data, interacts with users, and keeps your code readable 💡 🔁 Save this post & Follow for more Python notes! #Python #DataScience #MachineLearning #LearningJourney #LinkedInLearning #CodingForBeginners
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🪄 Day 2 — #StudyPython Challenge In Python, variables are created the moment you assign a value. Use `=` to store values in variables. Simple, quick, and ready to use! ✨💻 #PythonFromZero #LearnWithAmrutha #PythonSeries #CodeEveryday #PythonBasics
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🚀 Learning Python Step by Step! Today, I explored two important Python concepts — Dictionary and Range. 📘 A dictionary helps store data in key–value pairs, while range() makes looping and iteration efficient. Both are simple yet powerful features that form the foundation of data handling and automation in Python. I’ve shared my notebook where I practiced and documented both topics — feel free to check it out! #Python #DataScience #LearningJourney #Coding #JupyterNotebook #PythonBasics
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Hello connection! Exploring Python in greater detail today! I've been concentrating on functions, and I adore how straightforward yet effective they are. In essence, a function is a mini-program that performs a single task. The finest aspect? It keeps everything neat and orderly by allowing you to reuse code repeatedly. (This is known to programmers as "Don't Repeat Yourself," or DRY.) Def is the keyword that starts every function! #LearningToCode #DRYCode #Functions #Digitinstitute #Python #CodingBasics
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📘 Day 3 – Python Functions & OOP Concepts Continuing my Python learning series! Day 1: Python Basics: https://lnkd.in/gwg45mGq Day 2: Python Operators & Loops: https://lnkd.in/gfnnZPmX Today’s notes focus on two important topics: Functions & OOP Perfect for anyone building a solid Python foundation. Check out the notes and keep learning! 🐍✨ #Python #Coding #LearningPython #PythonForBeginners #Programming #OOP #Functions #CodeNewbie #PythonTips #StudyNotes
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Python feels easy… until it doesn’t. You fly through the basics. And then suddenly: dunder methods, decorators, functools, typy annotations, protocols... boom 💥. Sound familiar? It took me a while before I actually started feeling comfortable writing Python code. Though I still have no love for "Callable[[arg1, arg2], return_value]" annotations 😬. In this week's video, I break down the exact steps I’d take if I had to learn Python fast from scratch, covering everything I wish I knew earlier. 👉 Watch here: https://lnkd.in/eQUHiyyy #Python #SoftwareEngineering #LearningPython #CleanCode #ArjanCodes
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🐍 Exploring the id() Function in Python — Understanding How Objects Live in Memory! Today, I learned about one of Python’s simplest yet most interesting built-in functions: id(). This function returns the unique identity (or memory address) of an object — helping us understand how Python stores and manages data internally. 🔍 What I learned: ✔️ Every variable in Python is actually a reference to an object in memory. ✔️ id() shows where that object is stored. ✔️ If two variables have the same ID, they point to the same object. ✔️ This is especially useful for understanding mutable vs immutable data types in Python. Learning this helped me see Python from a deeper perspective — not just how code works, but how Python thinks behind the scenes. A huge thanks to Talal Ahmed for explaining this concept so clearly and making it easy to understand the internal mechanics of Python. 🙌 #Python #Programming #LearningJourney #PythonBasics #idFunction #TechSkills #SMIT #AgenticAI
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