🚀 New Blog Published: Python Dictionaries – Store Data in Key-Value Pairs 🐍 As I continue learning Python, I’ve reached one of the most useful and widely used data structures: 👉 Dictionaries Unlike lists that use indexes, dictionaries help us store data in a much smarter way using key-value pairs. In my latest beginner-friendly blog, I explained: ✅ What are Python Dictionaries ✅ How to create and access key-value pairs ✅ Adding, updating, and removing data ✅ Looping through dictionaries ✅ Real-life student record example ✅ Practice questions for beginners This concept is especially important because dictionaries are used in: 💻 APIs 🌐 Web development 🗄️ Databases 🤖 Machine learning I’m documenting my Python journey step by step through CodingNotesHub to make concepts easier for other beginners as well. 📘 Read the full blog here: 🔗 ___________________________ (Link will be added in the comments 👇) Small concepts today → strong foundations tomorrow 🚀 #Python #PythonForBeginners #Programming #PythonDictionary #LearningInPublic #CodingJourney #EngineeringStudents #CodingNotesHub
Python Dictionaries: Key-Value Pairs and Usage
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DAY 2 – #LearningInPublic (Python Basics) 🧠 Today’s Focus: My First Calculation in Python ✅ Every programming journey starts with something small — today I wrote my first Python calculation using variables and addition. Here’s what I learned: 📌 Step 1: Create Variables I stored numbers inside variables: • a = 10 • b = 10 Variables act like containers that hold values. 📌 Step 2: Perform Calculation I added both variables: sum = a + b Python calculated the result and stored it in a new variable called sum. 📌 Step 3: Print Output Finally, I displayed the result using print(): Output: 20 Wow You have done your first calculation in Python 💡 Key Concepts Learned • Variables • Assignment operator (=) • Addition operator (+) • Storing results in variables • print() function • Running first Python program This may look simple, but this is the foundation of everything in Python: Data Science Machine Learning AI Automation Web Development Every advanced system starts with basic calculations like this. Small steps. Big journey ahead. 🚀 #LearningInPublic #Python #PythonBeginner #DataScience #AI #Programming #100DaysOfCode #DeveloperJourney #MachineLearning #AIEngineering
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Built a simple calculator using Python 🧮 Recently completed the basics of: • Variables • User Input • Conditional Statements (if/elif/else) Applied these concepts to create this small project. Looking forward to building more as I continue learning Python 🚀 Here’s the code: ```python a = int(input("what is first value: ")) b = input("what you want to do: ") c = int(input("what is second value: ")) if b == "+": print("your result is", a + c) elif b == "-": print("your result is", a - c) elif b == "*": print("your result is", a * c) elif b == "/": print("your result is", a / c) ``` #Python #CodingJourney #BeginnerProject #LearningByDoing
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🚀 Mastering Loops in Python 🐍 Loops in Python are essential for repeating tasks efficiently. They allow you to iterate over a sequence of elements such as lists or strings, executing the same block of code multiple times. This is incredibly useful for automating repetitive operations and processing large amounts of data in your programs. For developers, understanding loops is crucial as they form the backbone of many algorithms and data processing tasks. By mastering loops, you can write more concise and elegant code, improving the efficiency and readability of your applications. 🔎 Let's break it down step by step: 1️⃣ Initialize a counter variable 2️⃣ Set the condition for the loop to continue 3️⃣ Execute the code block inside the loop 4️⃣ Update the counter to progress through the sequence ```python # Example of a for loop in Python for i in range(5): print("Iteration", i) ``` 🚩 Pro Tip: Use `enumerate()` to access both the index and value of an item in a loop effortlessly. ❌ Common Mistake: Forgetting to update the counter variable in a loop, leading to an infinite loop and crashing your program. 🤔 What's your favorite use case for loops in Python? 🌐 View my full portfolio and more dev resources at tharindunipun.lk #PythonProgramming #DeveloperTips #CodingCommunity #LearnToCode #LoopInPython #CodeNewbie #TechTalks #ProgrammingLife
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I recently published a beginner-friendly guide on Python Lists 🐍 From basics to advanced concepts and even real-world problems — I tried to simplify everything in one place. While learning Python, I realized one thing: 👉 Understanding lists properly makes everything easier. In this article, I covered: ✔️ Important list methods (append, sort, etc.) ✔️ Advanced concepts like slicing & list comprehension ✔️ Real-world problems with solutions If you're starting with Python, this might help you build a strong foundation. 🔗 Read here: https://lnkd.in/g_s_He5k I’ll be sharing more on: Pandas | NumPy | SQL | and simple coding concepts Let’s learn and grow together 🚀 #Python #Programming #Coding #PythonForBeginners #DataStructures
🐍 “Python Lists — Complete Beginner to Advanced Guide (With Examples)” # 🔰 Part 1: Basics medium.com To view or add a comment, sign in
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🚀 I just published a video on Python Basics — and honestly, this is where most people either build confidence… or quit coding. When I started learning Python, I struggled with simple things like: 👉 What exactly is a variable? 👉 Why does "123" behave differently from 123? 👉 How do arithmetic operations actually work in real code? So I made this video to simplify it 👇 🎥 In this video, I cover: ✔️ Data Types (with clear examples) ✔️ Variables (how they really work) ✔️ Integer vs String (most confusing for beginners) ✔️ Basic Arithmetic Operations No complex jargon. Just simple, practical understanding. 💡 If you're starting your journey in: Python Data Science Programming This will save you a LOT of confusion. 👉 Watch here: https://lnkd.in/gfYVg6uB ⚡ Small request: If you’re learning or already in tech — comment “PYTHON” and I’ll connect with you + share more useful resources. Let’s grow together 🤝 #Python #PythonForBeginners #CodingJourney #LearnPython #DataScience #Programming #Students #CareerGrowth #TechLearning
Python basics for beginners 🔥 | data type ,variable, integer ,string |
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🚀 Python Series – Day 2: Installing Python & Writing Your First Program Yesterday, we understood What is Python & Why it is powerful. Today, let’s take the first real step— installing Python and writing your first program 💻 🔧 Step 1: Install Python 1. Go to the official website: https://www.python.org 2. Download the latest version 3. While installing, IMPORTANT: ✔️ Check “Add Python to PATH” ▶️ Step 2: Verify Installation Open Command Prompt / Terminal and type: python --version 🧠 Step 3: Your First Python Program print("Hello, World!") 💡 What does this mean? print() → Used to display output "Hello, World!"→ Text (string) 🎯 Why is this important? This is your first step into coding. Every expert once started with this simple line. 🔥 Pro Tip: Try this: print("I am learning Python 🚀") ❓ Question for you: Have you written your first Python program yet? 👉 Comment YES / NO— I’d love to know! 📌 Tomorrow: Variables & Data Types (Most Important Topic!) #Python #DataScience #Coding #Programming #LearnPython #Beginners #Tech #MustaqeemSiddiqui
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Start learning Python the right way → https://lnkd.in/dBMXaiCv Most people stay stuck watching tutorials Few people build Only builders get hired This roadmap fixes that ⬇️ Step 1 Python basics • Variables • Loops • Functions ⬇️ Step 2 Data handling • Lists • Dictionaries • Files ⬇️ Step 3 Libraries • Pandas • Matplotlib ⬇️ Step 4 Build projects • Automation scripts • Data analysis • Simple apps Rule Stop consuming Start building You don’t need more tutorials You need output ⬇️ Related resources Python Courses https://lnkd.in/dtFbRP96 Data Science Path https://lnkd.in/dz3AXtmy Best AI Courses https://lnkd.in/dqQDSEEA Ask yourself What did you build this week #ProgrammingValley #Python #Coding #LearnToCode #BuildInPublic
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🚀 Day 12 of Python Coding Challenge 📌 Problem: Count Total Number of Characters in a File Understanding file handling is a fundamental skill in Python. Today’s task is to count the total number of characters in a given file. 💡 Approach: Open the file in read mode Read the file content Use len() to count characters 🧠 Python Code: def count_characters(file_path): try: with open(file_path, 'r') as file: content = file.read() return len(content) except FileNotFoundError: return "File not found." # Example usage file_path = "sample.txt" result = count_characters(file_path) print("Total characters in file:", result) ✅ Sample Output: Total characters in file: 12 🔍 Key Learnings: File handling using open() Using with statement for safe file operations Applying len() on strings 📢 Pro Tip: If you want to exclude spaces or newline characters, you can filter them before counting! 🔥 Keep Learning, Keep Growing! Follow along for more daily Python problems. #Python #CodingChallenge #Day12 #LearningJourney #30DaysOfCode
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Day 6 of my Python Full Stack journey. ✅ Week 2 starts today — Data Structures. First up: Lists — the most used data structure in Python. A list stores multiple values in one variable. And Python gives you powerful built-in methods to work with them. Here's what I typed today: skills = ["Python", "Django", "React"] # Add skills.append("PostgreSQL") # Remove skills.remove("React") # Access by index print(skills[0]) # Python # Loop through for skill in skills: print(skill) Biggest lesson today: List index starts at 0, not 1. I know it sounds obvious. But every beginner makes this mistake at least once 😄 60 minutes done. Pushed to GitHub. Back tomorrow. What's the data structure you use the most in your day to day coding? Drop it below 👇 #PythonFullStack #Day6 #Week2 #BuildingInPublic #100DaysOfCode #Bangalore
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