Day 9 – Python Full Stack Training at Codegnan Today’s session focused on List Comprehension in Python and implementing it to solve problems like finding the sum of squares efficiently. List comprehension provides a concise and powerful way to create lists and perform operations in a single line, making code more readable and optimized. 🔹 Key Concepts Learned: • Introduction to List Comprehension • Syntax and structure of list comprehension • Creating lists using single-line expressions • Writing programs to generate squares of numbers • Calculating the sum of squares using list comprehension • Comparing traditional loops vs list comprehension for efficiency 🔹 Example: numbers = [1, 2, 3, 4, 5] squares = [x**2 for x in numbers] sum_of_squares = sum(squares) print("Squares:", squares) print("Sum of Squares:", sum_of_squares) This approach makes code cleaner, faster, and more efficient, which is very useful in real-world Python applications. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #ListComprehension #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

Day 8 – Python Full Stack Training at Codegnan Today’s session focused on Loops in Python, a fundamental concept that allows us to execute a block of code repeatedly based on a condition. Loops are very important in programming because they help automate repetitive tasks and make programs more efficient. 🔹 Key Concepts Learned: • Introduction to Loops in Python • for loop – Iterating over sequences like lists, strings, and ranges • while loop – Executing code repeatedly while a condition is true • Using range() function with loops • Controlling loops using break and continue statements • Writing practical programs using loops Understanding loops helps in building efficient programs and solving complex problems by reducing repetitive code. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala #Python #Loops #PythonProgramming #FullStackDevelopment #Codegnan #LearningJourney #SoftwareDevelopment

Today as a part of the 100-day Python full-stack journey at Codegnan : 1. Gained a foundational understanding of variables in Python, including their purpose in storing and managing data efficiently. 2. Learned the rules and naming conventions for variables, ensuring code readability, consistency, and adherence to Python standards. 3. Explored techniques for assigning multiple values to multiple variables in a single statement, improving coding efficiency. 4. Understood how to assign a single value to multiple variables simultaneously, enabling cleaner and more concise code. 5. Studied the concepts of identifiers and literals, recognizing their roles in defining variables and representing constant values in Python programs. 6. Developed knowledge of type casting, allowing conversion of data from one type to another as required. 7. Practiced using the type() function to identify and verify the data type of variables during program execution. 8. Learned about built-in data types (such as int, float, string, list, tuple, etc.) and gained an introduction to user-defined data types. 9. Explored type conversion techniques, both implicit and explicit, to ensure proper data handling and avoid errors. 10. Applied all the learned concepts by developing a Command Line Interface (CLI)-based Fee Calculator, demonstrating practical implementation and problem-solving skills. #codegnan #pythonfullstack #GenerativeAI #github #git #python #learning #consistency

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🚀 Python Class Notes – Easy & Exam Ready 📘 I’ve created clean, handwritten-style notes on Python covering all important concepts: ✅ Key Definitions ✅ Data Types & Variables ✅ Conditional Statements ✅ Loops & Functions ✅ Real-life Applications These notes are simple, well-structured, and perfect for quick revision 📚 If you are a student or beginner in programming, this will definitely help you! 💡 Keep learning. Keep growing. #Python #Programming #StudentLife #Coding #Notes #Learning #BCA #Developers #PythonBasics #Education

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 🚀

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1. As part of the 100 Days Python Full Stack program at Codegnan, I learned about the fundamentals of dictionaries and sets in Python, including their structure and real-world usage. 2. I explored how dictionaries store data using key–value pairs and how they are useful for organizing and retrieving information efficiently. 3. I studied sets as unordered collections of unique elements, which are helpful for performing operations like union, intersection, and difference. 4. I practiced various built-in methods of dictionaries and sets, such as adding, updating, removing, and accessing elements. 5. I implemented multiple hands-on programs to strengthen my understanding of how dictionaries and sets work in practical Python applications. #pythonfullstack #python #generativeai #dsa #codegnan Codegnan Uppugundla Sairam Saketh Kallepu

Day 12 – Function Arguments in Python | Codegnan Journey Continuing my Python Full Stack journey at Codegnan, today I learned about Function Arguments in Python. What I Covered: 🔹 Types of arguments (positional, keyword, default) 🔹 How to pass values to functions 🔹 Understanding argument order and usage 🔹 Writing flexible and reusable functions Key Insight: Function arguments make functions more dynamic and powerful, allowing us to handle different inputs efficiently. Practiced multiple programs to improve my understanding and coding skills. Grateful for the guidance and support 🙌 Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala Excited to continue learning and building 🚀