Python Programming Language Basics

Strengthening my foundation in Python programming. Recently, I focused on understanding the core basics of Python: • Identifiers – Names used to represent variables, functions, and classes Example: name = "Manoj", marks = 95 • Operators – Symbols used to perform calculations and comparisons Example: +, -, *, /, %, == • Literals – Fixed values directly written in the program Example: 10, "Hello", 3.14, True • Data Types – Define the type of value stored in a variable Examples: int → 25 float → 7.5 str → "Python" bool → True Building strong fundamentals is the first step toward becoming a better programmer. #Python #Programming #LearningJourney #SoftwareDevelopment #Coding #PythonBasics

🚀 Python Programming is shaping the future of technology. From simple scripting to advanced applications like data science, automation, and web development, Python continues to be one of the most powerful and versatile programming languages. Building strong fundamentals in programming opens doors to endless opportunities in today’s tech-driven world 💻 #Python #Programming #Coding #DataAnalytics #Technology #Learning #Upskilling #SoftwareDevelopment #CareerGrowth #TechSkills #FutureReady

🚀 Python Programming is shaping the future of technology. From simple scripting to advanced applications like data science, automation, and web development, Python continues to be one of the most powerful and versatile programming languages. Building strong fundamentals in programming opens doors to endless opportunities in today’s tech-driven world 💻 #Python #Programming #Coding #DataAnalytics #Technology #Learning #Upskilling #SoftwareDevelopment #CareerGrowth #TechSkills #FutureReady

🚀 Python Programming is shaping the future of technology. From simple scripting to advanced applications like data science, automation, and web development, Python continues to be one of the most powerful and versatile programming languages. Building strong fundamentals in programming opens doors to endless opportunities in today’s tech-driven world 💻 #Python #Programming #Coding #DataAnalytics #Technology #Learning #Upskilling #SoftwareDevelopment #CareerGrowth #TechSkills #FutureReady

🚀 Python Programming is shaping the future of technology. From simple scripting to advanced applications like data science, automation, and web development, Python continues to be one of the most powerful and versatile programming languages. Building strong fundamentals in programming opens doors to endless opportunities in today’s tech-driven world 💻 #Python #Programming #Coding #DataAnalytics #Technology #Learning #Upskilling #SoftwareDevelopment #CareerGrowth #TechSkills #FutureReady

Object-Oriented Programming (OOP) in Python is a paradigm that organizes software design around objects (data) rather than functions and logic. It allows you to model real-world entities by bundling their properties (attributes) and behaviors (methods) into a single unit.

In this seventh video of the series Python for Tweens, we look at colours in the Python programming language. A calculator is created as a continuation of the previous class and the use of colours in the Python programming language are covered. The RGB values are used to define how colours are displayed in the Python programming language. Python for Tweens is a series intended to teach children ages 10 - 12 how to program using the Python Turtle Graphics module. https://lnkd.in/eErrG9af

🚀 Starting your Python journey? Here’s what every beginner should know: Python is one of the easiest programming languages to learn—and one of the most powerful. 💡 Why Python? Simple and readable syntax Huge community support Used in web development, data science, AI, and more 🧠 Start with these basics: Variables & data types Conditional statements (if/else) Loops (for/while) Functions #Python #CodingForBeginners #LearnToCode #Programming

Day 1 of Understanding Python- 1. Most widely used programming language. 2. Run on different types of integrated development environment depending upon the usecases. 3. Introducing to using the programming language- one must make sure to understand the basics of Variable naming convention in python. 4. Easy syntax. Keywords need to be remembered. Interpreted language. 5. Next up we discuss data types as they play an important role in understanding DATA structure functionality in python.

Examples of simple scripts (in R, Python and Julia programming languages), to generate 200 random numbers (with a normal distribution) and to calculate their mean, SD, and median