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
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🐍 Python for Beginners – Complete Notes Starting your journey in Python? These beginner-friendly notes are a perfect place to begin 🚀 💡 What you’ll learn: ✔ Python basics & syntax ✔ Variables, data types & operators ✔ Conditional statements & loops ✔ Functions & modules ✔ Lists, tuples, dictionaries ✔ Problem-solving approaches ✔ Real-world examples for practice 📊 Why these notes are helpful: • Simple & easy-to-understand explanations • Structured for beginners 📖 • Perfect for revision & quick learning • Great for students & aspiring developers 🎯 Whether you’re new to coding or brushing up your basics, this resource will help you build a strong foundation in Python. 📌 Save this post for later 🔄 Share with someone who is starting their coding journey 🚀 Follow DINESH CHALLA for more tech notes & learning resources #Python #Programming #Coding #Developers #TechLearning #BeginnerFriendly #LearningResources #Devops #SRE #Learn
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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 🚀
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Day 19 – Python Full Stack Training at Codegnan Today’s session focused on File Handling in Python, an essential concept for working with files and managing data storage in real-world applications. File handling allows programs to create, read, write, and update files, making it possible to store data permanently. 🔹 Key Concepts Learned: • Introduction to File Handling • Opening files using open() • Different file modes – r, w, a, rb, wb • Reading data using read(), readline(), readlines() • Writing data using write() and writelines() • Closing files using close() • Using with statement for better file handling 🔹 Example: with open("sample.txt", "w") as file: file.write("Hello, Python File Handling!") with open("sample.txt", "r") as file: content = file.read() print(content) This session helped me understand how to manage data storage and retrieval, which is widely used in applications like logs, databases, and file-based systems. Grateful for the continuous guidance and support from our mentors throughout this learning journey. Saketh Kallepu Anand Kumar Buddarapu Uppugundla Sairam Pooja Chinthakayala
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Most Python beginners make this mistake. They try to memorize code. But programming is not about memorizing. It’s about understanding logic. I’ve seen many students: • Watching tutorials daily • Copying code line by line • Feeling confident… Until they try to write code on their own. And then they get stuck. Why? Because they didn’t understand the logic. Instead, try this: ✓ Watch a concept ✓ Close the video ✓ Try writing the code yourself You will struggle at first. But that’s where real learning happens. Don’t aim to remember code. Aim to understand it. 👉 Do you try to memorize code or understand the logic? #python #NumPy #pandas #BluJay
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Python Programming – Notes for Beginners When learning Python or DSA, it’s easy to get stuck in long tutorials and feel overwhelmed. Simple, structured notes like this can really help to: • Quickly revise important concepts. • Build clarity in fundamentals. • Stay focused without distractions. From my experience: - Revisiting the same resource after a few days helps in understanding things much deeper. But also remember: - Notes give direction, - real learning happens when you practice. If you missed this earlier, this PDF is simple, beginner-friendly, and great for strengthening basics. Full credit to the original creator — Himani Saini 🙌 Comment below, How do you usually revise concepts — notes, practice, or both? I regularly share Python and DSA learnings here. #Programming #DSA #Python #Coding #LearnToCode #TechLearning #SoftwareEngineering #PythonDeveloper
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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
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Day 1 of my Python & DSA learning journey 🚀 Today I learned about Functions in Python. ❓ What is a Function? A function is a reusable block of code that performs a specific task. Instead of writing the same code again and again, we create a function and call it whenever we need it. 📌 Why functions are important: • They make code reusable • They organize the program • They reduce repetition in code 💻 Example in Python def add_numbers(a, b): result = a + b return result print(add_numbers(5, 3)) Here add_numbers() is a function that takes two inputs (a and b) and returns their sum. Output: 8 🔥 Question for developers: What was the first function you created when learning programming? #Python #DSA #Coding #Programming #LearningInPublic #100DaysOfCode
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Learning Python doesn’t have to be confusing — it just needs the right approach. Most beginners don’t quit because Python is hard. They quit because their learning is scattered. One YouTube video after another… Different tutorials… Saved links everywhere… but nothing completed. The real problem? Lack of structure. That’s where well-organized notes make a huge difference. I recently came across a 90-page beginner-friendly Python guide that covers everything step by step: • Python basics • Variables & data types • If-else and loops • Functions • Lists, tuples, sets, and dictionaries • Modules & popular libraries Everything is explained in a simple and clear way — perfect for beginners. Sometimes, you don’t need more resources. You just need one good resource and the discipline to follow it. Follow Rahul kumar for more tech content 🚀 #Python #Coding #Programming #CSE #TechLearning #Networking
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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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📘 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
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