Bikki Singh’s Post

👋 Welcome back! 📅 Python Learning – Day 9 (Python Operators) Today is about something you use in almost every program: operators. Operators are how Python compares values, does calculations, and makes decisions possible. Without operators, your code can store data, but it cannot really work with that data. They are small symbols, but they control the logic behind your program. 📘 In this lesson, I’ve explained: ➕ Arithmetic operators like `+`, `-`, `*`, `/` ⚖️ Comparison operators like `==`, `!=`, `<`, `>` 🔗 Logical operators like `and`, `or`, `not` Most beginner mistakes here come from misunderstanding comparisons, not from writing wrong code. Once operators are clear, conditions and logic start to make sense naturally. 🔗 Tutorial link is in the comments. ⏭️ Tomorrow: Day 10 — Python If...Else #Python #PythonLearning #LearnPython #PythonBeginners #PythonDevelopers #CollegeStudents #Freshers #CSStudents #CodingLife #ProgrammingBasics #PythonOperators #LogicBuilding #100DaysOfCode #TechCareers #codepractice #codepracticelearning

👋 Welcome back! 📅 Python Learning – Day 13 (Python While loop) Today is about loops that run based on a condition: the `while` loop. Unlike a `for` loop, which runs over a fixed set of values, a `while` loop keeps running as long as a condition remains true. This gives you more control, but it also requires more care. 📘 In this lesson, I’ve explained: 🔄 How the `while` loop works step by step ⏳ How conditions control when the loop starts and stops ⚠️ Common mistakes like infinite loops and missing updates Most beginner issues with `while` loops happen when the condition is correct, but the loop never reaches a stopping point. Once you understand how to control the condition, `while` loops become a powerful tool instead of a problem. 🔗 Tutorial link is in the comments. ⏭️ Tomorrow: Day 14 — Python Loop Control #Python #PythonLearning #LearnPython #PythonBeginners #PythonDevelopers #CollegeStudents #Freshers #CSStudents #CodingLife #ProgrammingBasics #WhileLoop #Loops #ControlFlow #100DaysOfCode #TechCareers #codepractice

Day 45 of 100 Days of Python | Magic (Dunder) Methods Today I learned about Magic Methods, also known as Dunder (Double Underscore) Methods in Python. These methods allow us to customize the behavior of our objects and make them work like built-in types. 🔹 What Are Magic (Dunder) Methods? Magic methods: • Start and end with double underscores • Are automatically called by Python • Customize object behavior Examples: __init__, __str__, __len__, __add__, __eq__ 🔹 Why Magic Methods Matter • Make objects more readable • Allow operator overloading • Improve debugging • Make custom classes feel natural 🧠 Easy Way to Understand Magic methods are like hidden switches ⚙️ Python calls them automatically when needed. Example: print(obj) → calls obj.__str__() 🔑 Mini Takeaway Magic methods let us define how objects behave with built-in Python operations. Learning Python step by step 🚀 Which magic method surprised you the most? 🤔 #100DaysOfPython #PythonBasics #LearningInPublic #DunderMethods #MagicMethods #PythonDeveloper #Freshers

🐍 Python Basics | Comments, Variables & Dynamic Typing Continuing my Python learning through Satish Dhawale, & SkillCourse Python Micro Course. Today I learned some fundamental Python concepts that every beginner should understand: 🔹 Comments Used to explain code and make programs more readable. 🔹 Variables Variables are used to store data values and reuse them in a program. 🔹 Variable naming rules Must start with a letter or underscore Cannot start with a number No spaces allowed Case-sensitive 🔹 Dynamic typing in Python Python allows changing the data type of a variable without declaring it explicitly. Example: x = 10 → integer x = "Python" → string Simple concepts, but very important for writing clean and understandable code. Using AI as a learning assistant to organize my learnings, while practicing everything hands-on. Sharing this for follow beginners who are learning Python 🚀 #Python #LearningPython #ProgrammingBasics #Variables #DynamicTyping #BeginnerJourney #Upskilling #AIassisted

Day 47 of 100 Days of Python | Weight Converter Exercise Today I practiced conditional logic using if-elif-else by building a simple weight converter in Python. This exercise converts weight between Kilograms and Pounds based on user input. 🔹 What This Exercise Covers • Taking user input • Using conditional statements • Applying basic arithmetic operations • Formatting output using round() 🧠 Exercise Description Task: Build a program that: • Takes a weight value • Asks for the unit (K for Kilograms, L for Pounds) • Converts the weight accordingly • Handles invalid input gracefully 🔑 Mini Takeaway Small exercises like this help strengthen logic and input handling, which are essential Python fundamentals. 💬 What kind of beginner exercises helped you the most when learning Python? 🤔 #Day47 #100DaysOfPython #PythonBasics #IfElse #PythonPractice #LearningInPublic #Freshers

Day 48 of 100 Days of Python | Compound Interest Calculator Today I practiced building a Compound Interest Calculator using while loops in Python. This program repeatedly asks for input until valid values are entered, which is an important concept in real-world applications. 🔹 What This Program Does • Takes principal amount, rate of interest, and time • Ensures all inputs are greater than zero • Calculates the final balance using compound interest formula • Displays the result in a clean, formatted way 🧠 Key Concepts Practiced • while loops • Input validation • Conditional checks • Mathematical calculations • Real-world financial logic 📐 Formula Used Compound Interest: A = P × (1 + R/100)ᵗ Where: P = Principal R = Rate t = Time (years) 🔑 Mini Takeaway Using loops for input validation makes programs more reliable and user-friendly. 💬 Have you tried building real world mini projects while learning loops? 🤔 #Day48 #100DaysOfPython #PythonBasics #WhileLoop #PythonPractice #LearningInPublic #Freshers

Day 38 of 100 Days of Python | Instance vs Class Variables Today I learned the difference between instance variables and class variables in Python. Understanding this helps avoid confusion and bugs when working with Object-Oriented Programming (OOP). 🔹 Instance Variables • Belong to a specific object • Defined using self • Each object has its own copy 🔹 Class Variables • Belong to the class itself • Shared among all objects • Defined inside the class, outside methods 🧠 Easy Way to Understand Instance variable → Personal data Class variable → Shared data Example: • Your name → instance variable • College name → class variable (same for all students) 🔑 Mini Takeaway Instance variables are unique to each object, while class variables are shared by all objects. Learning Python step by step 🚀 Have you ever mixed these two and got confused? 🤔 #100DaysOfPython #PythonBasics #LearningInPublic #OOP #Freshers #InstanceVariables #ClassVariables #PythonDeveloper

Nice resource for anyone preparing for Python exams or interviews 👏 From my experience, regular practice and clear understanding of concepts build real confidence in coding. Sharing this — it may help learners accelerate their preparation.

🚀 Python for Beginners – Post #10 Understanding Python Operators A strong foundation in programming starts with understanding operators. In Python, operators are essential for performing calculations, making comparisons, and building logical conditions that drive decision-making in programs. Here’s a quick overview for beginners: 🔹 Arithmetic Operators Used for mathematical calculations: +, -, *, /, %, // These allow programs to process numerical data efficiently. 🔹 Assignment Operators Used to assign and update values: =, +=, -=, *=, /= They help write cleaner and more efficient code. Example: a += 2 instead of a = a + 2 🔹 Comparison (Relational) Operators Used to compare values: ==, !=, >, <, >=, <= These return Boolean results (True or False) and are key to decision-making. 🔹 Logical Operators Used to combine conditions: and – True if both conditions are true or – True if at least one condition is true not – Reverses the result Understanding these operators is a crucial step toward writing efficient programs, building logic, and solving real-world problems using Python. 📌 Mastering the basics is what separates learners from confident programmers. #Python #LearnPython #PythonProgramming #CodingForBeginners #ProgrammingFundamentals #SoftwareDevelopment #TechCareers #DeveloperSkills #CodeLearning #BeginnerProgrammer

Python Language Basics Python has several advantages, especially for beginners, as its syntax is simple and easy to read. Enabling learners to learn it more quickly without worrying about complex syntax. The simple syntax, which allows learners to learn it easily while emphasizing readability, is another contributing factor in lowering maintenance costs. Finally, Python is an open-source platform, enabling developers to access its extensive standard library and interpreter at no cost, thereby reducing overall costs. For more info, click on the link; https://lnkd.in/gvw6JBqz #pythonlanguagebasics, #pythonbasics, #pythonprogramminglanguagebasics, #basicconceptsofpythonlanguage, #codingpythonbasics, #pythonbasiclanguage,