Python Fundamentals Day 1-5: Variables, Data Types & Operators

🚀 Day 4: Python Basics – Operators Explained Simply Today’s learning was all about Operators in Python — the building blocks that help us perform actions on data. 👉 What is an Operator? Operators are symbols or words that perform operations on values or variables. 📌 Types of Operators I Learned Today: 🔹 Arithmetic Operators Used for mathematical calculations: ➕ Addition ➖ Subtraction ✖ Multiplication ➗ Division ➗ Floor Division % Modulus (remainder) ** Exponent (power) 🔹 Assignment Operators Used to assign or update values in variables Example: = 🔹 Comparison Operators Used to compare two values Example: == (Equal to) 🔹 Logical Operators Used to combine conditions: and, or, not 🔹 Identity Operators Check whether two variables point to the same memory location is, is not 🔹 Membership Operators Check if a value exists inside a sequence (list, tuple, string) in, not in 🔹 Bitwise Operators (Advanced) Work at the binary level: AND, OR, XOR, NOT, Left Shift, Right Shift ✨Understanding operators is essential for writing logical conditions, calculations, and data analysis code in Python. Learning step by step. Consistency over perfection. 📈 Satish Dhawale SkillCourse #PythonLearning #DataAnalytics #PythonBasics #LearningJourney #Day4 #Coding #Upskilling

Day 5 | Python Learning Today’s focus was on understanding some core Python fundamentals that quietly do a lot of heavy lifting. 🔹 NoneType Data Type Learned how None represents the absence of a value and why it’s useful for initialization, default returns, and checking conditions instead of guessing values. 🔹 Python Operators Revised the main operator categories and where they’re actually used: • Assignment operators (=, +=, -=) • Comparison operators (==, !=, >, <) • Logical operators (and, or, not) • Membership operators (in, not in) • Bitwise operators (worked at a basic level to understand how they function) These topics look simple on the surface, but they’re everywhere in real code. Getting clarity here makes future concepts much easier. Slow progress, steady learning. On to Day 6 #Python #LearningJourney #Day5 #ProgrammingBasics #Consistency Engineering in Kannada Chandan S Gowda

Day 5 Python Fundamentals: Lists Today I continued building my Python foundation by working with lists, one of the most fundamental data structures in Python. Key concepts covered: [Creating and printing lists with different data types] Accessing elements using positive and negative indexing] [Checking for membership using in] [Extracting sublists using list slicing] [Using step values to access alternate items] [Applying list comprehensions to build new lists concisely] Lists are essential for managing collections of data and are widely used across software development, data analysis, and AI workflows. I’m documenting my daily learning and pushing all practice code to GitHub to maintain consistency and accountability. Day 5 repository: https://lnkd.in/gSkkjTuD

🚀 Python Mini Projects | Learning by Doing I have developed two beginner-level Python projects using simple Python concepts and console-based input. 🚌 Bus Ticket Price Calculator A Python program that calculates bus ticket prices based on user inputs. This project focuses on applying conditional logic and basic calculations to simulate a real-world ticket booking scenario. 💼 Basic Account & Transaction System A simple Python program that simulates account creation and basic debit/credit transactions. It demonstrates balance management using conditional statements and user input. 🔹 Concepts Used: Python fundamentals Input handling Conditional statements Logical thinking & problem-solving These projects helped me strengthen my foundation in Python and gain confidence in building real-world logic-based applications. 📚 Continuously learning and improving through hands-on practice. #Python #BeginnerProjects #Programming #LogicBuilding #LearningPython #CodingJourney 🚀

🚀 My Python Learning Journey! 🐍 I’ve been diving into Python programming and recently covered some foundational and advanced concepts: ✨ Python Basics: What Python is, its uses, and key features. ✨ Dynamic vs Static Typing: Understanding how Python handles data differently from static languages. ✨ PIP: Managing Python packages efficiently. ✨ Object-Oriented Programming: Classes, objects, and OOP principles in Python. ✨ Exception Handling: Handling errors gracefully. ✨ Multithreading: Running multiple tasks concurrently. ✨ Data Types & Mutability: Difference between mutable and immutable objects. ✨ Operators & Precedence: Performing operations with correct priority. ✨ Control Flow & Blocks: Using if, else, for, while, break, and continue. ✨ String & List Methods: Using slice and split for data manipulation. Learning Python has given me a strong foundation to build efficient, readable, and robust programs. Excited to continue exploring more advanced concepts and apply them in real projects! #Python #Programming #LearningJourney #OOP #Multithreading #DataTypes #LinkedInLearning#Murali Krishna Padavala#Kishore Manthrabuddi#Frontlines EduTech (FLM)#Krishna Mantravadi

🐍 90 Days of Python – Day 7 Today, I learned about Python operators, which are used to perform operations on variables and values. Operators are essential because they allow us to process data, apply conditions, and build logic in programs. Some key operators I explored today: • Arithmetic operators – addition, subtraction, multiplication, division • Comparison operators – comparing values (>, <, ==, !=) • Assignment operators – assigning and updating values • Logical operators – and, or, not Understanding how operators work helps in writing clear and efficient expressions. I’m focusing on practicing these basics so that writing conditions, loops, and calculations becomes easier in the next steps. 📌 Day 7 completed. Strengthening logic one operator at a time. 👉 Which Python operator do you use most often in your code? #90DaysOfPython #PythonLearning #LearningInPublic #ProgrammingBasics #BTechCSE #MachineLearning

Python Operators – Learning & Understanding the Basics As part of my Python learning journey, I’ve been focusing on understanding Python operators in depth, not just memorizing them but learning how and why they are used in real programs. I covered all major types of operators, including: Arithmetic operators for calculations Assignment operators for updating values Comparison operators for decision-making Logical operators for combining conditions Membership operators for checking presence in data Identity operators for understanding memory behavior Bitwise operators (at a basic level) Ternary operator for writing clean one-line conditions A clear understanding of operators makes it much easier to write conditional statements, loops, and problem-solving logic. 📄 I’ve documented my learnings in a beginner-friendly format for easy revision and practice. 👉 Coming forward, I’ll be sharing posts on: Python Operators – practice problems Conditional Statements (if, elif, else) Looping concepts More Python fundamentals step by step Learning consistently and building a strong foundation 🚀 Feedback and suggestions are always welcome! 🙏 Thanks to 10000 Coders and venubabu vajja for the guidance and structured learning support. #Python #PythonLearning #ProgrammingFundamentals #CodingJourney #LearningInPublic #BeginnerPython #Consistency

🧑💻 Day 45 of My Python learning journey Today I got to learn more about - ☑️ Static methods - method that belongs to a class but does not require access to any instance-specific data or the class itself. It functions like a regular function but is logically grouped within the class's namespace, typically for utility purposes.  ☑️ Key Characteristics of Static Methods in Python  Belong to the class, not the object  Defined using the @staticmethod decorator  Don’t access self or cls.  Work like regular functions, but live inside a class  Useful for utility/helper logic related to the class  Improve code organization and readability ✅ Today's GitHub Link: 1. https://lnkd.in/dGD8Vv4Q #tutedude #learning #coding #python #consistency #linkedin #skillup #linkedin #career #goal #passion #Interest #Github V S NAVEEN KUMAR AMBATI