Learning Python Basics at Codegnan Day 1

Python Learning Journey – Day 7 🚀 Today’s focus was on working with lists and improving problem-solving using Python. I practised different list operations and real-world scenarios to better understand how data can be handled efficiently. Here’s what I worked on: • Reversing a list • Finding common elements between two lists • Extracting unique elements • Removing duplicates while preserving order • List concatenation and repetition • Removing elements based on index conditions • Inserting elements into a list • List comprehensions (squares, even numbers, word lengths) This session helped me get more comfortable with list manipulation and writing cleaner, more efficient Python code using comprehensions. Step by step, improving logic and coding confidence. Big thanks to VASU KUMAR PALANI and PythonLife for the continuous guidance and support. #Python #CodingJourney #LearnInPublic #PythonLists #Programming #100DaysOfCode #Consistency #TechSkills

Day 10 of my Python learning journey 🐍 Today I spent time practicing more problems on functions to strengthen my understanding and improve my coding skills. Along with that, I learned about modules and packages in Python. Modules help organize code into separate files, and packages allow us to group multiple modules together in a structured way. I also created a custom package and understood the role of the __init__.py file, which helps Python recognize a directory as a package and allows better control over how modules are imported. This helped me understand how larger applications are structured and how to write cleaner and more maintainable code. My work is here https://lnkd.in/gGsjWtee #Python #100DaysOfCode #LearningInPublic #Django #MachineLearning #DSA 🚀

📘 Day of Learning Python – Functions in Python 🐍 Today I focused on understanding Functions in Python, one of the most important concepts for writing clean, reusable, and organized code. Functions help us break a large program into smaller parts, making code easier to understand, test, and maintain. Instead of writing the same logic again and again, we can define it once and call it whenever needed. In today’s practice, I explored: 🔹 Defining functions using def 🔹 Calling functions with arguments 🔹 Returning values using return 🔹 Difference between parameters and arguments 🔹 Writing simple programs using functions like palindrome check, even/odd check, and factorial What I understood most is that functions improve problem-solving by making programs modular and structured. They are the foundation for writing efficient code in real-world applications. Every small concept learned today adds confidence for tomorrow’s bigger challenges. Consistent practice is helping me strengthen my programming basics step by step. Looking forward to learning more and applying these concepts in advanced programs. 🚀 Codegnan Saketh Kallepu #Python #PythonProgramming #FunctionsInPython #CodingJourney #LearningPython #ProgrammingBasics #CodePractice #TechLearning #PythonDeveloper #StudentLearning #LinkedInLearning- day 15

🚀 My First Step into Python Programming! Today marks an exciting milestone in my journey as I begin learning Python. 🐍 Here are some key concepts I explored: 🔹 Python is a high-level language, making it easier to write and understand code without worrying about low-level details like memory management. 🔹 It supports Object-Oriented Programming, helping in building structured and reusable code. 🔹 Python is dynamically typed, meaning we don’t need to declare data types explicitly. 🔹 It is an interpreted language, which executes code line by line. 🔹 Python has simple and clean syntax, making it beginner-friendly. I also practiced basic concepts like: ✔️ Taking user input ✔️ Performing arithmetic operations ✔️ Understanding data types and variables Looking forward to exploring more concepts and building real-world projects! #Python #Programming #Learning Journey #Coding #Beginner #TechSkills#codegnan

📘 Python Learning – Day 11 Highlights 🐍 Today’s class focused on writing more robust and real-world Python programs 👇 🔹 Namespaces: Learned how Python organizes variables using Local, Global, and Built-in scopes to avoid conflicts 🔹 Exception Handling: Used try, except, else, and finally to handle errors smoothly and prevent program crashes 🔹 File Handling: ✔ Read files (r) ✔ Write files (w) ✔ Append data (a) ✔ Safe handling using with open() 🔹 Practice & Mini Project: ✔ Word count program ✔ File-based number processing ✔ Student record system with average calculation 💡 Key Learning: Handling errors and working with files makes programs more practical and reliable Step by step, moving towards real-world Python development 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills creat a attractive thumbnail of this lessons

Practicing Python – Building a Simple Calculator As part of my Python learning journey, I practiced building a simple calculator program using functions. This project was implemented while following tutorials from Satish Dhawale. While watching the lesson, I tried to code along and understand how functions work in Python. Through this small exercise, I learned: 🔹 How to create and use functions 🔹 Handling user input 🔹 Using conditional statements 🔹 Writing cleaner and reusable code The calculator can perform operations like addition, subtraction, multiplication, division, and average calculation. Even though it’s a beginner-level project, it helped me understand how programming logic works. I’m continuing to practice more projects to strengthen my Python and data analytics skills. 💻 Learning one concept at a time and applying it through practice. #Python #LearningPython #CodingPractice #Programming #DataAnalytics #LearningJourney #BeginnerProgrammer

🚀 My First Step into Python Programming! Today marks an exciting milestone in my journey as I begin learning Python. 🐍 Here are some key concepts I explored: 🔹 Python is a high-level language, making it easier to write and understand code without worrying about low-level details like memory management. 🔹 It supports Object-Oriented Programming, helping in building structured and reusable code. 🔹 Python is dynamically typed, meaning we don’t need to declare data types explicitly. 🔹 It is an interpreted language, which executes code line by line. 🔹 Python has simple and clean syntax, making it beginner-friendly. I also practiced basic concepts like: ✔️ Taking user input ✔️ Performing arithmetic operations ✔️ Understanding data types and variables Looking forward to exploring more concepts and building real-world projects! #Python #Programming #LearningJourney #Coding #Beginner #TechSkills #codegnan#

🚀 My Python Learning Journey Today I explored how Python organizes code using Modules and Packages 📦 🔹 Modules – Overview A module is a file that contains Python code (functions, variables, or classes) that can be reused in other programs. 👉 It helps in breaking large programs into smaller, manageable parts. 🔹 Types of Modules ✔️ Built-in Modules → Already available in Python (e.g., math, random) ✔️ User-defined Modules → Created by us 🔹 Example # mymodule.py def greet(name): return "Hello " + name # main file import mymodule print(mymodule.greet("Sushma")) 🔹 Packages – Overview A package is a collection of multiple modules organized in a directory. 👉 It helps in structuring large projects in a clean and scalable way 🔹 How It Works 👉 Module → Single file 👉 Package → Folder of modules 🔹 Why Modules & Packages are Important 💡 Improve code reusability 💡 Help in organizing large applications 💡 Make code more readable and maintainable 🔹 Real-Life Understanding Just like folders contain multiple files, packages contain multiple modules 🔹 Learning Outcome This concept helped me understand how large Python applications are structured and managed efficiently 🚀 #teksacademy #Python #CodingJourney #Modules #Packages #Programming #100DaysOfCode #DeveloperLife

🚀 **Python Programming – My Learning Notes** 🐍 Started my journey into the world of coding, and here are some quick takeaways from Python 👇 ✨ **Why Python?** ✔️ High-level & easy to understand ✔️ Beginner-friendly syntax ✔️ Powerful and versatile 📌 **What I Learned:** 🔹 Basic syntax & variables 🔹 Data types (int, float, string, list, dictionary) 🔹 Conditional statements (if/else) 🔹 Loops (for & while) 🔹 Functions (reusable code blocks) 🔹 Lists & Dictionaries 💡 **Key Insights:** 👉 Indentation is everything in Python 👉 Clean and readable code matters 👉 Practice is the only way to improve 🔥 Every small step counts towards becoming better at coding. Excited to keep learning and building more! #Python #Programming #CodingJourney #Learning #TechSkills #Developer #100DaysOfCode #BeginnerFriendly #CodingLife

Today’s Learning 🚀 I’m excited to share that today I learned Python File Handling as part of my learning journey through the @Skill Course under the guidance of @Satish Dhawale Sir. To support fellow learners, I’ve also created concise notes on these topics, and I’m happy to share them with my LinkedIn community. If you’re just starting your Python journey or revising the fundamentals, these notes can be a helpful resource for you. Let’s continue to grow together in the world of Data Analysis and Python Programming! 💬 Comment “Notes” if you’d like me to share them. #DataAnalysis #Python #TypeCasting #LearningJourney #PythonBasics #PytonInExcel.