Python Challenge Day 12: Working with Dictionaries

🔁 Python Revision – Functions Continuing my Python learning journey 🐍 In this session, I focused on: ✔️ Functions and their importance ✔️ Function definition and calling ✔️ Parameters and return values ✔️ *args and **kwargs basics Functions are helping me write more structured, reusable, and clean code instead of repeating logic. A big thanks to Krish Naik for his amazing content and clear explanations, which made these concepts much easier to understand 🙌 Documented my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Now moving towards applying these concepts in real-world problems 📊 Next: working with real datasets and mini projects 🚀 #Python #Functions #LearningJourney #DataAnalytics #Coding #KrishNaik

🚀 Day 15/30 – Python Challenge Learning file handling in Python! 🐍📂 🔹 Key Concepts Covered: * Opening files using open() * Writing data to a file ("w" mode) * Reading data from a file ("r" mode) * Closing files properly 💻 Mini Task: Created a file, wrote some text into it, and then read the content back and displayed it. 🎯 Learning Outcome: Understood how Python can interact with files, which is essential for storing and retrieving data in real-world applications. Getting closer to real-world programming step by step 🚀 #Python #CodingChallenge #LearningJourney #FileHandling #StudentDeveloper #Day15

Day 4/30 – Exploring Python concepts Today I spent some time learning important Python concepts like loops, lists, tuples, and dictionaries. Loops help us repeat tasks efficiently instead of writing the same code multiple times. Lists and tuples allow us to store multiple values in a single variable, making data easier to manage. Dictionaries help organize data in a key-value format, which makes accessing information faster and more structured. Understanding these concepts helped me see how Python can be used to handle data and automate tasks in a much simpler way. Each small concept I learn is helping me build a stronger foundation in programming. Excited to keep learning and improving every day. ✨ #Day4 #30DaysOfPosting #PythonLearning #CodingJourney #ProgrammingBasics #LearningJourney

#Day11 of learning Python 🐍 Today I learned about data comprehensions in Python, including list comprehension, dictionary comprehension, and set comprehension. Practiced creating lists of even and odd numbers, filtering names based on conditions, generating dictionaries from strings and lists, and even identifying prime numbers using comprehension logic. It was interesting to see how comprehensions make code more concise, readable, and efficient compared to traditional loops. Understanding comprehensions feels like a big step toward writing cleaner and more Pythonic code. Day 11 complete — 89 days to go! 🚀 #Day11 #PythonLearning #ListComprehension #DictionaryComprehension #SetComprehension #100DaysOfLearning #CodingJourney #SkillShikshya

🚀 Day 2/30 – Python Challenge Continuing my Python journey! 🐍 🔹 Key Concepts: * Different data types in Python * Integer, Float, String, Boolean * Storing values using variables 💻 Mini Task: Created variables of different data types and printed them to understand how Python handles each type. 🎯 Learning Outcome: Learned how Python supports multiple data types and how to use them effectively in programs. Step by step getting more comfortable with coding! 💻✨ #Python #CodingChallenge #LearningJourney #AI #StudentDeveloper #Day2

🚀 Day 11/30 – Python Challenge Exploring sets in Python and how they handle unique data! 🐍 🔹 Key Concepts Covered: * Creating sets * Understanding that sets store only unique values * Adding elements using add() * Iterating through set elements 💻 Mini Task: Created a set of numbers, observed how duplicate values are automatically removed, added a new element, and displayed all values using a loop. 🎯 Learning Outcome: Learned how sets are useful for storing unique data and performing operations where duplicates are not needed. Understanding different data structures step by step 🚀 #Python #CodingChallenge #LearningJourney #DataStructures #StudentDeveloper #Day11

🚀 Day 43 of My 90-Day Python Learning Challenge Today I learned about Encapsulation in Python (OOP) and how to use getter and setter methods. Encapsulation helps in protecting data by restricting direct access and allowing controlled modification through methods. Key takeaways: • Understanding the concept of data hiding • Using private variables in a class • Accessing data using getter methods • Updating data safely using setter methods This concept helped me understand how to write more structured and secure code. Continuing to build strong fundamentals step by step 🚀 #Python #100DaysOfCode #CodingJourney #OOP #LearningInPublic #Consistency

🚀 Day 5/30 – Python Challenge Learning decision-making in Python! 🐍 🔹 Key Concepts: * Conditional statements (if, else) * Logical comparison (>=) * Controlling program flow based on conditions 💻 Mini Task: Created a program to check whether a person is eligible to vote based on their age. 🎯 Learning Outcome: Understood how conditional statements help programs make decisions and respond differently based on input. Step by step, logic is getting stronger 🔥 #Python #CodingChallenge #LearningJourney #AI #StudentDeveloper #Day5

🚀 Day 9/30 – Python Challenge Exploring lists and data handling in Python! 🐍 🔹 Key Concepts Covered: * Creating and storing multiple values using lists * Accessing elements using index * Adding elements using append() * Iterating through lists using loops 💻 Mini Task: Worked with a list of fruits, accessed specific elements, added a new item, and used a loop to display all values. 🎯 Learning Outcome: Understood how lists make it easier to manage and manipulate collections of data efficiently in Python. Learning how to handle data better with each step 📊 #Python #CodingChallenge #LearningJourney #DataStructures #StudentDeveloper #Day9

*# Day 34 of my Python Learning Journey* 🐍 Today: *Abstract Classes* in Python They’re blueprints, not objects. You can’t create them directly. Their job? Force child classes to follow rules. `Shape` says every child MUST have `area()`. `Car`, `Circle` must obey. No skipping. Code with structure = code that scales. #Python #100DaysOfCode #OOP #AbstractClass #CodingJourney