Handwritten Python Notes Simplified Concepts and Examples

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

🚀 Python Practice – Exception Handling Continuing my Python learning journey by exploring how to handle errors effectively 🐍 In this session, I focused on: ✔️ try & except blocks ✔️ Handling different types of exceptions ✔️ else and finally blocks ✔️ Writing clean and safe code Practiced handling errors like division by zero, invalid input, and file-related issues to prevent program crashes. Learning exception handling is helping me write more reliable and user-friendly programs 💡 A big thanks to Krish Naik for his amazing teaching and clear explanations 🙌 Documented all my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Understanding how to handle errors is an important step towards real-world programming 🚀 Next: working with Numpy and Pandas 📊 #Python #ExceptionHandling #Programming #Coding #LearningJourney #DataAnalytics

📚 Continuing my Python learning journey Today I explored exception handling and file handling in Python, focusing on writing more reliable and practical programs. 🔑 Key concepts I learned and practiced: • Exception handling – using try, except, else, and finally to handle errors gracefully • Types of exceptions – understanding common runtime errors • Raising exceptions – using raise to trigger custom errors • File handling basics – opening, reading, writing, and closing files • File modes – working with r, w, a modes • Working with files safely – using with statement for better resource management Learning how to handle errors and work with files makes programs more robust, efficient, and real-world ready. Step by step, I’m strengthening my Python fundamentals and problem-solving skills. 🚀 #Python #Programming #LearningJourney #ComputerScience #Coding

Master Python the Right Way - With Practical Programs. When I first started learning Python, I quickly realized: You can't master a programming language by just reading syntax or watching tutorials. Real growth happens when you practice, build, and solve problems on your own. That's exactly why I've compiled a collection of Python programs designed to take you from basics to advanced logic-building. What this collection includes: ✔ Beginner to advanced programs with clear explanations Pattern-based exercises to strengthen core fundamentals Problem-solving programs that sharpen logical thinking The real benefit? You don't just learn "how to code", you start learning "how to think like a programmer". This is perfect if you are: Preparing for technical interviews • Participating in coding challenges • Building real-world Python projects And trust me, once you start practicing like this, your confidence with Python (and programming in general) will skyrocket. Fun fact: My first Python program was the classic Hello World! - simple but powerful. What was yours? If you find this helpful, don't forget to share it - it might be exactly what another learner needs today. #Python #Programming #Coding #DataScience #InterviewPreparation #Learning #CareerGrowth #100DaysOfCode

📘 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

Today’s Learning 🚀 I’m excited to share that today I learned Python String, List & Number Functions 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.

🚀 Beginner-Friendly Python Practice PDF (Free Resource) Today I’m sharing a simple and practical Python learning resource for beginners 📘 This PDF covers 20 essential Python problems that help build a strong foundation in programming and logical thinking. 🔹 What you’ll learn: ✔️ Basic problem-solving (swap numbers, even/odd, reverse) ✔️ Important concepts (Armstrong number, palindrome, prime) ✔️ Loops & conditions (factorial, Fibonacci series) ✔️ List operations (largest number, remove duplicates) ✔️ String logic (anagram, vowel count) Each problem is designed to improve logic building + coding confidence, which is very important for Data Analysis and real-world projects. 📂 Check out the full PDF here: 💡 Perfect for students, beginners, and anyone starting their Python journey. If you find this helpful, feel free to connect and share your thoughts 🙌 #Python #Beginners #Coding #Programming #DataAnalysis #Learning #100DaysOfCode

Today’s focus was on working with lists and improving problem-solving using Python. I practiced 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

🚀 Today I Learned: Python Lists Continuing my Python journey, today I explored one of the most important concepts — Lists. 🔹 What I learned: - Creating lists to store multiple values - Accessing items using index - Adding & removing elements (append, insert, remove, pop) - Updating list values - Using loops to iterate through a list 🔹 Small practice: I created a list of numbers and calculated the average using Python. 💡 Lists are very useful in real-world projects for handling data efficiently. I’m excited to keep learning and building more with Python every day! #Python #LearningJourney #Coding #Programming #Beginners #100DaysOfCode

🚀 Day 6 of My Python Learning Journey Today’s focus was on Functions in Python — one of the most important concepts for writing clean and reusable code ✨ 🧠 What I learned today: ✔️ How to define functions using "def" ✔️ Difference between built-in and user-defined functions ✔️ Parameters and return values ✔️ Lambda (anonymous) functions ✔️ Basics of recursion 📒 I also created handwritten notes to better understand and remember the concepts — writing things down really helps me learn faster! 💡 Key takeaway: Functions make code more organized, reusable, and easy to debug. Here’s a simple example from today’s practice: def add(a, b): return a + b print(add(2, 3)) 📌 Sharing my handwritten notes below 👇 (helps in quick revision!) #Python #CodingJourney #LearningByDoing #StudentLife #100DaysOfCode #Programming